This Federal Reserve Board discussion paper, Political Connections, Allocation of Stimulus Spending, and the Jobs Multiplier by Joonkyu Choi, Veronika Penciakova, Felipe Saffie, reaches some striking conclusions about the correlation between political contributions to state legislators, the likelihood of getting grants under the 2009 Obama stimulus legislation (ARRA), and their employment effects. Two authors are economists who work for the federal reserve system and the third for the University of Virginia.
Here’s the abstract which succinctly captures their research and findings:
Using American Recovery and Reinvestment Act (ARRA) data, we show that firms lever their political connections to win stimulus grants and public expenditure channeled through politically connected firms hinders job creation. We build a unique database that links campaign contributions and state legislative election outcomes to ARRA grant allocation. Using exogenous variation in political connections based on ex-post close elections held before ARRA, we causally show that politically connected firms are 64 percent more likely to secure a grant. Based on an instrumental variable approach, we also establish that state-level employment creation associated with grants channeled through politically connected firms is nil. Therefore, the impact of fiscal stimulus is not only determined by how much is spent, but also by how the expenditure is allocated across recipients.
The paper is timely with the enactment of the $1.9 trillion American Recovery Plan Act (ARPA), which is being partially sold as stimulus, and with Biden proposing spending another couple trillion on an “infrastructure” plan. If political connections (campaign contributions is their measure) yield materially more grants, that certainly raises ethical concerns. It’s even worse, if shoveling money to those firms yields suboptimal outcomes, which they define as stimulating employment (that is a secondary reason for infrastructure projects obviously – the main goal is to construct useful facilities).
So, how did they do empirical analysis to measure these effects and how much credibility should we put in the findings? I’m not competent to address the latter question, so I’ll punt on that beyond making a couple of observations. I am modestly skeptical but their findings are still concerning.
Structure of the research
There were two elements to their research:
Determining if “politically connected” firms got more grants because of their campaign contributions.
Measuring whether giving those firms more money affected the outcomes – i.e., the number of jobs created relative to the dollars granted to other firms.
What they found
Part 1: Do campaign contributions yield more grants?
The authors used data on grants to businesses from the 2009 Obama stimulus (ARRA) program to determine whether making more campaign contributions enabled firms to get more grants. Obviously, some sorts of sophisticated controls are necessary to avoid picking up random noise or spurious correlations, rather than likely causal relationships. They did that (or attempted to, anyway) using several techniques:
They assembled a data base that combined ARRA’s data on the firms that received grants directly from states (“prime” vendors, not sub-vendors, or vendors getting contracts from prime vendors or grants from sub-grantees, such as cities) that they matched with campaign contributions made by the firms to legislators in the states making the grants. The campaign finance data was from 2006-08, the period immediately before ARRA was enacted, and was limited to contributions to legislators serving during 2009-10, when the grants were made. The campaign finance data was from National Institute of Money in Politics. They report that firms made 16% of campaign contributions (28% on a dollar-basis). That was a surprise to me, since I had thought businesses directly contributing was rare and more typically owners and employees contributed. But I have never been involved in campaign finance in any capacity and my knowledge is limited to Minnesota. They point out that campaign contributions are predominately made by small and medium sized businesses and those were also the firms that got most of the ARRA grants (see graph on page 10).
To add a randomization factor – this is key to avoid measuring spurious correlation – they focused on a narrower category of campaign contributions, ones made to legislative candidates in races that turned out to be close (i.e., a 5% or smaller margin of victory) – about 10% of elections in the sample. Their assumption is that for such close elections, the result is effectively random or unpredictable and that will control for other factors (endogenous factors) that could skew the results.
The dependent variable (what they are trying to measure the effects of) is the ratio of contributions made to winning candidates in close elections to total contributions made in close elections (pp. 12 -13). Firms whose contributions in close elections went 50% or more to winners are “treatment firms.” Thus, they’re measuring whether those firms were more likely to get ARRA grants than firms whose contribution recipients (again, only in close elections) did not win. To avoid distortions by comparing unlike firms, they created pairs of firms (i.e., a treatment and a nontreatment firm) based on the number of campaign contributions made in close races and by industry sector.
They also added controls for the number of contributions made, firm size, and firm age.
Results. They found that the politically connected firms (i.e., those who contributed to more winning legislative candidates in close races) were 64% more likely to get an ARRA grant. Controlling for the size of the firm, whether it had its headquarters in the state, or how long it had been in existence did not change the regression results. To test for a placebo effect (essentially a correlation caused by something else), they checked and found the treatment firms did not get more ARRA grants in other states or as sub-vendors in the same state. They did several other statistical tests that I won’t summarize to rule out mismeasurement.
My take
I started reading this with a healthy dose of skepticism – it seemed to me that there is a lot of potential for unobserved factors, loosely correlated with making campaign contributions, driving the results. But re-reading and thinking about their research dispelled much of that skepticism. They were careful to develop techniques to screen out that risk. My one lingering concern is that elections in the 2006 to 2008 period (their sample) were Democratic wave elections. So, they may be picking up firms that tend to give more to Democratic candidates and that may not be as random as they think the results in close elections are. But that probably isn’t as much a factor/concern given the results in red states where the Democratic-friendly political environment just made Republican wins closer.
Part 2: Employment outcomes
Their next task was to determine whether skewing grants to firms that made fortuitous campaign contributions mattered – i.e., did it adversely affect the number of jobs created, the primary goal of the ARRA stimulus. To answer this question, the authors turned to an economics literature that I was ignorant of (even though I am familiar with some its authors).The literature analyzes the regional variation in the employment outcomes of the 2009 stimulus to see whether it was effective in stimulating job creation. Put another way, this literature tests whether states that got more money per capita created more jobs, when other relevant factors that differ by state are controlled for. The authors repeat this analysis but divide the grant allocations into those going to politically connected firms and to non-connected firms (again based on contributing to winning state legislative candidates in close elections).
To apply this approach, they use variations across states – essentially categorizing states by how much of their grants went to politically connected firms to test the results. There is quite a lot of variation in the state levels (no surprise) – see Figure 4, p. 21. That variation enables them to do their statistical analysis. The prior literature controlled for economic conditions (obviously, more ARRA grants were likely to go to states that were more severely affected by the Great Recession) and quality of state management (also may attract more grants by making better applications to the feds). That leaves them the task of randomly controlling for political factors; those too may be correlated with the likelihood of getting more grants (being endogenous) or other confounding factors.
They used two factors – whether a state allows corporations to make campaign contributions and the size of its legislature – to measure variation in states’ steering grants to political favorites. In their view, states with more legislators (per capita obviously) have more possible recipients to give to and (hope to) influence. Allowing corporate contributions evidences more opportunity for businesses (corporations anyway) to contribute.
Their analysis confirms the findings of the prior literature – i.e., that the stimulus grants increased employment (about 13 jobs per $1 million) – when the grants were made to firms without political connections. That was not true for states where more money went to politically connected firms. In their words:
In fact, according to our estimates, 21 percent more jobs were created or saved in a state like Pennsylvania, in which only 2.1 percent of ARRA spending went to politically connected firms, than in a state like Illinois, in which 22.7 percent of ARRA spending went to these firms.
This is consistent with other empirical literature that finds inefficiencies in government contracting with politically connected firms (another literature I was unaware of). They conduct several tests to validate that their findings are robust, controlling for various factors (industry composition, flexibility of labor, firm specific factors, etc.) that they think could skew the results. None of those tests undercuts their confidence in the findings that:
[N]onpolitically connected firms create 13 jobs per million dollars, while the employment multiplier associated with grants to politically connected firms is not significantly different from zero.
I have much more difficulty with the second part of their analysis, although my competence to judge it is thin. I have not read the background literature – either that assessing the effectiveness of the stimulus or on effect of political favoritism on the efficiency of government grants and contracting. But two factors give me pause:
Their two variables strike me as perhaps tenuous as measures of the potential for campaign contributions to influence decisions. Yes, the law allowing corporate campaign contributions likely is somewhat reflective of a state’s political culture. But I assume most of those laws were enacted generations ago – probably during the Progressive Era at the beginning of the 20th century. How reflective is that now of a state’s political culture? I get that they think the ability to contribute is the key thing – it’s all about opportunity. But my feeling is that a culture of accepting political steering of grants to political favorites is a big deal. But maybe stuff like that is persistent. Illinois has been corruption-friendly for years; nothing changes? The size of the legislature variable also strikes me as problematic, since my instinct is that political power and influence is concentrated in a small number of legislators regardless of a body’s size. If that is so, it would not matter so much that contributors have more targets for their contributions and potential influence. Moreover, in Minnesota distributing federal grants is largely an executive branch function and my impression is that legislators have little influence over that, but maybe I am just oblivious or naïve. Practices and rules (regarding legisaltive involvement) obviously may differ. In any case, these are little more than instincts and suppositions on my part. My skepticism, perhaps, should be discounted by their finding of strong statistical correlations?
I’m a bit more perplexed by their finding that grants given to politically connected firms had no employment effect. That does not seem to square with what I would expect based on the underlying economic theory of Keynesian multipliers. I had thought the whole theory was simply to pump money out into the economy via government spending that results in the hiring of workers who will, in turn, spend the wages and stimulate more employment. (Recall that Keynes famously suggested hiring workers to dig and fill holes would work.) Having absolutely no effect (“nil” is their term) implies the politically connected firms are somehow keeping most of the money from going into incremental spending (putting it in bank accounts, buying existing stocks and bonds, etc.). Okay, I get that is likely to happen at the margin – they do it with some of the grant money – but to have no effect at all? Yeah, yeah, I remember shoebox scandal in Illinois and yes, some of grants probably end up as kickbacks, bribes, etc. that go into shoeboxes or offshore bank accounts. But even so, their results are so surprisingly bad that they verge on the implausible to me. If they created one-third or one-quarter of the jobs, that would make more sense. Of course, measurement of this type is always imprecise.
In any case, the paper is interesting, and its findings are concerning. I’m not sure – assuming one is confident in their results – what policy solution could address the problem. It’s not practical for federal civil servants to hand out the grants and at the state level it is hard to imagine a way to devise a formulaic type mechanism for doing so (e.g., similar to using competitive bidding for procurement contracts). But grant making has never been something I have focused on, so there probably are innovative ways to help insulate the function from politics a bit.
I spent way too much time during my life as a legislative tax staffer trying to figure out what did and did not violate Grover Norquist’s “no-new-taxes” pledge. That pledge was signed onto by nearly all elected Republicans staring in the early 1990s. It hamstrung their ability to make sensible tax and budget policy decisions. Ultimately, some of them (e.g., Governor Pawlenty) got up the courage to look the other way on a few minor measures during very tight budgets (e.g., he agreed to partially close the FOC loophole in the corporate tax to raise a small amount of revenue).
In theory, the Norquist pledge allows revenue neutral tax changes. So, that should allow classic tax reforms that expand the base and make offsetting changes, such as cutting rates. Revenue neutral tax reforms require strong doses of political courage because their inherent dynamic creates concentrated groups of losers (from repealing deductions and credits) that benefit a diffuse group of winner (almost everybody benefits from rate cuts). Any politico knows that will typically not turn out well: an energized group of losers ends up hating you while a big group of beneficiaries doesn’t even know you helped them. To make matters worse, the political aura created by the pledge effectively demonized (in most elected Republican officials’ minds) tax changes that raise anybody’s taxes even if they didn’t raise net revenues. Of course, the most compelling reason to make tax changes is to provide revenues to pay for government services. After all, that is the function of taxes, which everyone understands. But that is precisely what Norquist’s pledge prohibits.
It is not just Republicans that make dumb campaign tax pledges. Joe Biden made a potentially even worse one during his campaign – that no one making less that $400,000 would have their taxes raised. Len Burman, a guy with Minnesota connections (he got his PhD from the U’s econ department), has a great TPC post that explains how Biden’s post – if he follows it – will thwart good tax policy and fulfilling some of his other promises.
On some levels, Biden’s is worse than the Norquist pledge because it blocks cleaning up senseless tax expenditures and prevents user-like taxes. For example, my view is that funding highway and road improvements should be done mainly with user-related taxes. The natural way to do that is with a hefty increase in the gas tax and some sort of alternative fee for EVs. That would have the environmental benefit of mildly discouraging fossil fuel use and linking beneficiaries of the spending with the payers. That is not permitted under the Biden pledge, as Burman’s post makes clear.
Instead Biden’s actual plan funds highways and road with corporate tax revenues and encourages EV use by subsidizing their purchases and charging stations. A gas tax increase would likely be more effective in encouraging EV use. I get that it is a hard political sell because people dislike obvious pain and opponents can easily demonize it. This TPC post points out: “The motor fuels tax has been frozen since 1993 and is the lowest in the OECD. At 18.4 cents per gallon, it imposes a price of about $18 per ton of carbon dioxide emissions, far below the Administration’s own estimate that the social cost of carbon is around $51 per ton.” So, gas tax funding has the inherent advantage of user financing and is environmentally friendly (a classic Pigouvian tax). But the Biden tax pledge makes it a no-go.
[Note: After I wrote this but before posting it, Howard Gleckman makes a similar point that Biden’s pledge eliminates the best alternative for combatting climate change, a carbon tax. That’s a somewhat more complex issue. The general demonization of all taxes has effectively made an explicit carbon tax essentially a no-go, despite the preference of most economists – and me – for that approach.]
Len’s post is worth reading. I hope it is one campaign promise that Biden abandons. There are a host of changes that would be good to make in the federal tax structure on a revenue neutral basis or that may be the best way to raise revenues to pay for his initiatives, but neither can be done under pledge to immunize anyone making less than $400k/year.
As Len says, “Tax pledges are terrible policy and dubious politics. Politicians of both parties should pledge not to handcuff themselves by making stupid pledges.”
They, of course, stem from the age-old desire to convince people by offering them a free lunch. Human nature abhors a budget constraint; free stuff is compelling. Like all such ploys they are fundamentally based on misrepresentation or deception, which comes in two different flavors depending upon the party:
Democratic flavor – we can tax somebody else (the “rich” or those making > $400k in this instance) to pay for all the government service we promise and that you want.
Republican flavor – we can cut taxes without cutting government services that you want. This is slightly more complex but runs something like taxes are already high enough to finance all the government services you want (never mind that the federal government is running massive deficits and state taxes do not keep pace with population, inflation, and economic growth) and, in fact, are now paying for services you do not want. The latter is a deception because they are rarely forthcoming about what services they would cut and their failure to follow through implicitly says voters do want those services. Like the Democrats (with taxing the rich), Republicans in Minnesota try to justify their assertions about cutting spending by identifying programs that are perceived to not benefit their voters (e.g., LGA for center cities and similar).
Unlike Len, I am not convinced that either approach is bad (“dubious” in his terms) politics if the measure of good politics is electoral success. I find it difficult to argue with the political appeal of pitches the parties have now made for decades. Moreover, these “free lunch” pitches follow the approach many businesses successfully used to play on the foibles of human behavior (luring customers with “free” offers, highly misleading pricing, etc.) to sell their products and services. What I find incontestable is that they make for bad governance and they are sold based on some form of misrepresentation.
Of course, tax pledges are not binding contracts or laws. So, the real issue is how much they actually change politicians’ behavior. How willing are they to just look the other way or to say circumstances have changed since the campaign? We know that most Republicans take their pledges very seriously – probably thanks to what Pat Buchanan did to Bush 41 after he abandoned his “read my lips” pledge. The fealty of Dems to their “we’ll only tax high income folks” is somewhat less clear, although we have evidence many of them pretty much honor it (ignoring the economic incidence of corporate taxes partially falling on consumers and recasting sin taxes as something else). Here’s hoping they’re willing to move on or forget their pledges, but I am not optimistic.
The American Rescue Plan Act or ARPA, Biden’s $1.9 trillion relief package, provides $350 billion in aid to state and local government. However, this money comes with “strings,” i.e., a provision that prohibits states from using the money to fund tax cuts. Here’s the language:
A State or territory shall not use the funds provided under this section or transferred pursuant to section 603(c)(4) to either directly or indirectly offset a reduction in the net tax revenue of such State or territory resulting from a change in law, regulation, or administrative interpretation during the covered period that reduces any tax (by providing for a reduction in a rate, a rebate, a deduction, a credit, or otherwise) or delays the imposition of any tax or tax increase.
ARPA, section 9901, sec. 602(c)(2)(A)
Since ARPA is itself a massive tax cut (see this TPC post suggesting it is one of the largest one-year federal tax cuts, depending upon the definition you prefer), that seems a little rich. Why not let states decide how they can best use the money? I suppose it’s yet another case (now by Democrats) of partisanship seeping into law making – it’s fine for the Democrats in Congress to decide on the parameters of tax cuts, but they don’t trust states (translation: “states controlled by Republicans”) to do so? Or Congress decided how much of the package is for tax cuts and designated all the state and local aid for delivery of government services? So, it is just a matter of preserving federal control over how its money is spent? Whatever the real rationale(s), it seems like a rejection of the basic principles underlying federalism. It’s probably the retaliation that could be expected after TCJA’s fairly transparent shot at blue states with its SALT deduction cap.
The provision raises the usual sorts of interesting questions as to how it will be applied and enforced, given the fungibility of money. The Legacy Amendment’s (Minnesota Constitution, art. XI § 15) prohibition on the legislature using its funds as a “substitute” for “traditional sources” of funding raises similar nettlesome, albeit narrower, questions but without issues of federalism. As legislative deliberations over the scope of the Legacy Amendment’s limits have illustrated, there is no clear and effective way to apply and enforce limits like these, at least without generating endless and unproductive legislative debates about legalisms rather than good policy.
State legislatures are, of course, considering a multitude of tax changes, many/most of which are reductions. Moreover, in states with dynamic conformity laws, ARPA itself will result in state tax cuts during the “covered period” (e.g., the exemption for UI benefits). (I assume Treasury will not apply the prohibition in that context since the state itself did not act even though the triggering congressional action changing state tax law in the “covered period” under (g)(1). The fact that literal language of the limit appears to apply demonstrates its breadth.) The limit could impact the Minnesota legislation to exempt PPP loan forgiveness and unemployment benefits from taxation. I’m sure legislative and DOR lawyers are now noodling about that – probably waiting for guidance from Treasury.
Given the expansiveness of the language (compare the narrower language that immediately follows it and prohibits depositing the money in a pension fund; it could easily be circumvented in my opinion), it is certainly susceptible to an interpretation that could prevent a lot of or all tax cuts (and not just those legislatively enacted but resulting from administrative interpretations). I would guess that Treasury will be flexible in exempting proposals that were in governors’ budgets and other formal legislative proposals outside of the “covered period” as defined in the law (starts March 3rd). But newly introduced tax cuts may be in trouble if they go beyond previous formal proposals?
A group of Republican attorneys general predictably jumped into the fray sending a letter to Secretary of the Treasury Janet Yellen, decrying the provision as “an unprecedented and unconstitutional intrusion” intrusion on states’ sovereignty “usurping one-half of the State’s fiscal ledgers (i.e., the revenue half).” [italics in original] The letter goes on to cite numerous instances of tax cuts pending in the AGs’ legislatures and to point the ambiguity inherent in applying provisions of this type. Nobody says you have to take the money, of course (e.g., see Senator Rick Scott’s advice).
I would observe that many of these same AGs sued to have the U.S. Supreme Court (a federal government entity) throw out other states’ interpretations and application of their election laws in determining who won the presidential election in their states. In that context, they were not so concerned about federalism and protecting state autonomy. Clearly, partisanship trumps (I use that term intentionally) principles of federalism.
See here for media stories on the AG’s letter and/or the ARPA provision itself:
The Tax Policy Center (TPC) published a chart (below) that compares the income distribution of the benefits of TCJA and ARPA, the just-enacted COVID relief bill or however you want to characterize it. The differences are quite striking with ARPA going heavily to the bottom fifth of the population and TCJA to the top fifth with a lot to the very top.
Here’s the graph and a link to Howard Gleckman’s blog post with more detail:
Caveats: The chart does not reflect TPC’s latest estimates that include more of ARPA’s provisions (see here for an update). Doing so would enhance the amount going to the lower end by a bit. Also, the estimates do not include the suspension of the various provisions of TCJA’s offsetting tax increases under the CARES Act. One of the suspended provisions raised a lot of revenue from taxpayers who make more than $500,000/yr (about $70 billion in tax savings for 43,000 taxpayers under the CARES Act’s suspension of the disallowance of noncorporate losses) so including it would skew the distribution of TCJA’s provision even more toward the top. Since those changes were in the CARES Act, one cannot tag TCJA for that, but I have a hard time seeing how helping out folks with million-dollar incomes qualifies as COVID relief. See Clint Wallace, The Troubling Case of the Unlimited Pass-Through Deduction: Section 2304 of the CARES Act, U of Chicago Law Review Online for a more detailed and thorough case than I made in my March 2020 post.
One criticism of comparing the two distributions is that their respective purposes were different (tax “reform” versus COVID relief or stimulus). Notwithstanding that, a few similarities:
Both were big ticket bills financed by federal government borrowing: $1.9 trillion for ARPA and $1.5 trillion TCJA. The $1.5 trillion score for TCJA is probably low because (1) the CARES Act pumped up its tax cut by suspending some of its offsetting tax increases (and not be small amounts), (2) CBO has found the business taxes declined by more than estimated by JCT, (3) the SALT deduction cap workarounds for pass-through entities green-lighted by the IRS in November will further dilute one of TCJA’s biggest offsetting tax increases (pretty much exclusively for high income households), (4) etc.
Both bills passed on party line votes.
The opposition party criticized each bill as handing out pork/candy to the enacting party’s base – e.g., TCJA’s much pilloried QBI deduction (i.e., the 20-percent deduction for business income) for Republicans’ base of business owners and ARPA’s perhaps overly generous education aid as a sop to the Dems’ teacher union allies rather than furthering their basic purposes.
It is easier to justify deficit spending when the economy is in at least recession (a point contested by Republican critics of the ARPA) than when it was humming in 2017 when TCJA passed. Moreover, one of the biggest ticket items in ARPA is the $1,400 recovery rebates (about one-fifth of the total cost according to the Committee for a Responsible Federal Budget for an earlier version of the bill). Since the de facto don of the Republican Party (for better or worse, Trump) advocated for this in December, the Republican criticism that the package is overly generous on that score is tinged with hypocrisy. Excluding the rebates/checks would bring ARPA’s total price tag below TCJA’s.
That said, I have a hard time seeing the need for the checks – especially to those whose incomes are largely unaffected by the pandemic (most of the recipients) – and much lower and better targeted aid to state and local governments would have been sufficient. The ballooning of the savings rate – to record levels – is good evidence of the lack of targeting and how overly generous the previous rebates were. I get that speed and administrative ease was of the essence in spring 2020 but it’s hard to keep making that case almost 12 months later. Slightly reducing the income limits, as ARPA did, is hardly the answer; focusing on drops in income from 2019 and/or excluding those whose main income is from steady sources (social security, pensions, investment income, etc.) would be the better approach. Cutting unemployment benefits to satisfy moderate Dems (i.e., Manchin) seemed particularly cruel and uncalled for. Those are the people that really need relief and help, rather than most of the rebate recipients.
The saving grace may be that much/most of the money is being saved (bidding up stock and bond prices rather than scare consumer goods), which may have helped prevent the rebates from igniting inflation. Whether better targeting by the rest of ARPA and its larger size will put an end to that grace, I do not know. In any case, there are obviously better ways to spend the money (needed basic infrastructure improvements, for example). But at least most of it is going to folks at the lower end of the income distribution.
This post corrects an error I made in the piece I wrote for MCFE on SALT deduction cap workarounds, as well as describing my preference for structuring a PTE workaround, and provides more babble on taxing PPP loan forgiveness in light of recent state budget and legislative developments.
SALT cap workarounds
MCFE published my piece on other states’ laws and the Minnesota bill that allow optional entity-level taxes on pass-through entities (PTEs), such as S corps and partnerships, to circumvent TCJA’s $10,000 cap on itemized deductions of SALT payments. Those interested can read it on MCFE’s website (“A Closer Look at Minnesota’s Proposed SALT Cap Workaround”).
The piece was only posted for a short time before an alert reader pointed out a bonehead mistake that I made in footnote 4 – Minnesota’s credit for taxes paid to other states already allows entity-level taxes paid by partnerships to qualify for the credit. So, the Minnesota bill does not need to be modified as I suggested. That provision was enacted years ago to accommodate partnerships that file composite returns and pay tax on behalf of their nonresident owners so they can avoid the hassle of filing returns in multiple states. The provision will cover workaround taxes just fine. I had forgotten about it and failed to go back and reread the statute. Mea culpa.
The reader, however, did point out that Minnesota’s credit, at least as applied by DOR, does not allow entity taxes imposed on disregarded LLCs to qualify. It should, especially if Minnesota enacts an optional workaround SALT PTE entity tax covering disregarded LLCs (as the current legislative bill provides) and even if it does not (in my opinion) to avoid constitutional issues.
I did not think it was appropriate to express it in the MCFE piece, but I have a strong preference for drafting a SALT workaround proposal using the model adopted by Rhode Island, Maryland, and New Jersey, rather than the Wisconsin and Louisiana model as in the Minnesota bill. The difference is that the Wisconsin model imposes the state’s corporate tax on the PTE, whereas the Rhode Island approach imposes the PTE tax on the income deemed distributed to the entity (i.e., the in-state source amounts reported on K-1s to PTE owners).
In the MCFE piece I identified the advantages of the Rhode Island approach as twofold: (1) avoiding the complexity of requiring the PTE to recalculate its income and tax under the state’s corporate regime and (2) the differences in the bases of the two taxes. I think either of them is sufficient to tip the balance toward the Rhode Island approach.
On the base differences, I did not mention it in the MCFE piece, but I think a wild card is the dividend received deduction. The Minnesota bill appears to allow a PTE to claim this deduction, since the corporate franchise tax rules would apply, and the deduction is available to C corporations. I do not know if that was intended but a strict reading of the bill appears to me to allow it. In some unusual circumstances it could result in tax savings for an electing PTE. Common stock dividends are fully taxable to PTE owners as ordinary income. C corporations are allowed a 70- or 80-percent deduction, by contrast, depending upon their ownership stake in the dividend payor. If the bill continues to allow disregarded LLCs to elect the optional PTE tax, an individual with a substantial stock portfolio could move dividend paying common stocks into a disregarded LLC and realize substantial Minnesota tax savings, even if the proposed IRS regulations do not allow the workaround to disregarded entities (as I expect they will not). That would be true for S corporations or partnerships with common stock dividends too. If allowing the deduction was not intended, it would be prudent to modify the bill to explicitly prohibit that. Of course, that minimizes one advantage of using the corporate tax model – applying the same entity tax rules to all entities, I guess.
In drafting a PTE entity option, I would also add an explicit provision that requires an electing PTE to report the amount of total state and Minnesota tax that is excluded from distributions of income made by the PTE (i.e., the amount excluded from AGI) to facilitate compliance with and enforcement of the requirement that those taxes be added back in calculating the owners’ individual level taxes. If that addback is not made, the taxes will be deducted for Minnesota purposes (roughly analogous to deducting tax paid in calculating the taxes). DOR could impose an administrative requirement to do that, but it is probably simpler to include the general requirement in the bill.
PPP loan forgiveness
The big swing in the budget forecast (now a $1.6 billion surplus rather than a $1.3 billion deficit) and the legislative tea leaves, at least based on my reading of the media coverage (often misleading or a partial picture based on my past experience as an insider), strongly suggest that the legislature will go down the federal road of giving some sort of double exemption to businesses that receive PPP loan forgiveness. As anyone who reads my blog knows, I think that is bad policy, but the PR juggernaut rolls on and it now appears inevitable for at least some subset of PPP loan recipients. Here are links to three recent news pieces:
A common theme portrayed is that the failure of the state to both exempt the income and allow expenses paid to be deducted is “absolutely stunning” or “ridiculous.” The underlying theme is that failure to follow the federal double exemption approach would impose a big burden on the affected businesses. It does not bother me if the legislature decides both to enact a business tax cut and that the way it prefers to do that is to give a break to some or all businesses that got PPP loan forgiveness. But it would be nice if there was some evidence that they recognized the realities of such an exemption. I would better if I knew that they were not being swayed by a misleading narrative about the financial effects of not letting these businesses both have their cake and eat it too. (When I was working and talked directly to legislators it was easier for me to understand that was the case – “yeah, I know this is dumb policy, but I have to do it politically” was all I needed to hear. Because I no longer have those conversations with legislators, I am stuck guessing. The few public discussions I have heard are not encouraging that legislators understand the financial reality. That, of course, does not mean they don’t – challenging testifiers or explaining complicated stuff just might not be worth the blowback.) I will briefly try (yet again) to make it clear what I think is going on – in two ways, conceptually and with an example.
Conceptually. PPP loan forgiveness can be thought of as a federal grant that pays a portion of a business’s expenses – i.e., the payroll, rent, and utilities legally required to qualify for forgiveness – because the pandemic reduced the recipient business’s revenues. The simple conceptual (“tax neutral”) way to do that it to keep the entire transaction outside of the tax system – the business’s tax return would show neither the grant/loan forgiveness (income reported) nor the payroll, rent, utilities the grant/loan forgiveness pays (expenses deducted). Mechanically, that can be done either of two ways – (1) exclude the income and disallow the expense deductions (that is what would have happened under the CARES Act and the IRS administrative rulings) or (2) include the income and allow the expense deductions (that is what Minnesota law now provides). In either case, the treatment is tax neutral. The income is not taxed, and the PPP loan’s payment of expenses does not affect calculation of how much other income the business has. Put more concisely, it is a matter of NEITHER or BOTH.
The proponents, however, are arguing for something that is not tax neutral but rather gives an extra or double benefit. It would do that by excluding the income (loan forgiveness) AND allowing the PPP-paid expenses to reduce the taxes paid on other income. That is a double benefit for those businesses lucky enough to (1) get a PPP loan and have it forgiven and (2) have other income on which they will pay tax. That means two identical businesses – one that got a PPP loan forgiven and another in otherwise identical situation but that reduced its expenses (e.g., laid off employees) or spent down working capital to avoid laying off workers would be treated quite differently for tax purposes. An example follows to illustrate.
Example. This example is simplified and stylized to avoid getting bogged down in business and tax nuances and to make the point clear. Assume there are three businesses, each of which normally has $200,000 in annual revenue, expenses of $180,000, and taxable net income (profits) of $20,000. To keep things simple, assume a flat 10% tax rate. The pandemic hits and cuts each business’s revenue by $40,000. In year two after the pandemic is over (this is an unrealistic hypothetical!), the businesses return to normal operations, earning $200,000 on expenses of $180,000.
Business #1 takes out a PPP loan for $40,000 which is forgiven. Business #2 (with a hard-hearted libertarian owner who refuses government support on principle) forgoes taking a PPP loan and instead lays off employees, which we simplistically assume reduces expenses by $40,000. Business #3 (soft-hearted libertarian owner) also forgoes the PPP loan but uses $40,000 of working capital to keep paying her employees. The table below contrasts how the new federal and the current Minnesota system (no conformity) would treat the three owners. Only #1 needs two columns (fed and MN model), since #2 and #3 have no PPP loan forgiveness.
Pandemic year
#1 biz fed model
#1 biz MN model
#2 biz
#3 biz
Sales
$160,000
$160,000
$160,000
$160,000
PPP loan
40,000
40,000
NA
NA
Reg expenses
140,000
140,000
140,000
180,000
PPP-pd expenses
40,000
40,000
NA
NA
Net income
(20,000)
20,000
20,000
(20,000)
Tax @ 10%
0
2,000
2,000
0
NOL created
(20,000)
0
0
(20,000)
Year 2
Sales
200,000
200,000
200,000
200,000
Expenses
180,000
180,000
180,000
180,000
NOL used
(20,000)
0
0
(20,000)
Net income
0
20,000
20,000
0
Tax @ 10%
0
2,000
2,000
0
2-yr tax
–
4,000
4,000
0
2-yr net income
40,000
40,000
40,000
0
Effective rate
0.0%
10.0%
10.0%
0.0%
PPP loan forgiveness – comparative tax treatment
The examples illustrate that the federal model (essentially a double exemption) treats the PPP business the same as the business that uses its own resources to maintain its payroll. Neither pays any tax but the PPP loan means the business that accepted the loan has $40,000 more in resources/net income that #3, the soft-hearted libertarian. (To me, that does not seem fair but maybe that is just my priors?) By contrast, the Minnesota model treats the PPP loan recipient equally with #2, the hard-hearted libertarian who cut expenses by laying off employees. Both continue to pay the same tax as normal because the layoffs and the PPP loan had identical effects on their profits.
These examples illustrate why the PR narrative that the current taxation of PPP loan forgiveness disadvantages its recipients is false. For example, here is one quote to that effect from the MPR story linked above:
[Business owner] said the PPP loan he got covered about two and a half months worth of payroll for his 65 employees at a pair of west suburban child care centers.
“I was not thinking about the tax implications at the time,” [he] said. “I was just trying to figure out how to make it through the next six months to stay open for our families that needed us.”
Had he known about the tax obligations, he might have gone a different direction — laying off half of his staff because of sliding enrollment. And that, he said, would have been a bigger burden on state resources.
The obvious implicit point is that he is worse off than if he had laid off his employees, instead of taking the PPP loan. The examples illustrate that if he had cut his deductible expenses by the equivalent of the PPP loan and forgone the loan, he would have paid the same tax as he would under the current Minnesota tax rules (assuming, of course, that reducing payroll did not hurt his sales/revenues). Essentially, he would move from #2 to #3. But what he and the business lobby are arguing for is to treat him the same as #3, the hypothetical business owner who used her own resources (not the federal government’s) to maintain payroll.
The media coverage makes it is obvious that the legislature will enact some sort of PPP loan forgiveness tax break. I assume that budget realities and competing demands for resources mean that will need to be a partial deal. They are not going to spend over $400 million on this. So, the question becomes how to craft a partial break that will give the politicians cover without breaking the bank and doling out too much money to the undeserving. The media stories suggest that the House DFLers are moving to limit qualification to some subset of businesses based on their line of business. An obvious way to do that would be to restrict qualification to the same businesses that the December special session provided direct aid. See Minn. Laws 7th spec. sess. ch. 2, art. 1 § 1, subd. 1(a) for the definition of qualifying businesses. These are the businesses that were hardest hit by the public health restrictions and have already been agreed upon by the legislature as deserving of assistance. I would add to that a requirement that the 2020 revenues declined over their 2019 revenues by some multiple of the PPP loan amount (at least 2X). That will winnow out businesses that got PPP loans but really did not need them or the PPP loan replaced much of their lost revenue. (Giving startups a pass on this would likely not create a loophole.) The combination of the two provision should target the provision somewhat and dramatically reduce the revenue loss. Another possibility would be to limit the deductibility of the expenses paid with forgiven PPP loans to tax years 2021 and 2022, so that this does not produce long term carryover losses.
As I noted in my book report on Ezra Klein’s book, Why We’re Polarized, I have been watching for years with trepidation the growing political polarization. My former vantage point as a legislative staffer provided a view of how the trend was manifesting itself in the behavior of legislators: more strident views, less working across the aisle even on issues that traditionally were not partisan, less willingness to compromise, fewer centrist members, and so forth.
To try and better understand this phenomenon I have been engaged in a reading project on what’s going on the Republican Party because my perception is that the right (Newt Gingrich, Pat Buchanan, and Trump as prime examples) has been driving the trend. Of course, action sparks reaction, so it’s a bipartisan phenomenon. The right was just the initial and bigger mover. I’ve been in engaged in the reading project for months (January 6th obviously heightens the relevance) and may do a multi-book report (the count is at 5: Max Boot, The Corrosion of Conservatism; John Fea, Believe Me The Evangelicals Road to Donald Trump; David French, Divided We Fall; Robert F. Saldin and Steven Teles, Never Trump; Stuart Stevens, It Was All a Lie; with a couple more on my list to go). Or more likely not, since contemplating going over my notes and collecting my thoughts is too depressing and so far I do not have any special insights. My reading has mainly reinforced my prior perceptions and observations. As an aside, I found the Saldin and Teles book the most interesting with more information new to me. Stevens’ is the most brutally honest about the GOP dynamics by a high level insider that I have read.
I have tended to view the problems of polarization as mainly a matter of politics and effective governance. That is sobering enough since the country increasingly appears ungovernable, given a constitutional structure based heavily on checks and balances with multiple minority vetoes and how closely divided the country is. See the collections of academics’ opinions in this piece by Thomas Edsall in the NYT on ungovernability.
What is really scary to me is this piece at 538, Maggie Koerth and Amelia Thomson-DeVeaux, Our Radicalized Republic, suggesting the polarization goes deeper than what I think of as politics. Rather than being about policy or controlling government, it’s a matter of tribalism, identity, and stuff that is harder to “fix” or change. I really hope that thesis is wrong (probably not) or at least overly alarmists about how bad things are (maybe). The thought that we may be in self-reinforcing feedback loops is particularly frightening. As sociologists have observed when two groups have multiple factors that distinguish them from one another (race, language, religion, cultural traditions, and so forth) the potential for those factors reinforcing each other and leading to conflict, potentially violent, escalates. That may be where we’re going with partisan identity playing a key role. Gives a whole new meaning to “identity politics” – something Klein points out but in a somewhat more benign context and way.
Some telling quotes (to me anyway) from their article:
In this study and others, Mason [Lilliana Mason, a University of Maryland political scientist whose work the article leads with and heavily relies on] found that the increasingly neat alignment between our party loyalties and other parts of our identity — race, religion, education — has made politics an integral part of the way we perceive our own moral character and that of others. [Me: in other words, the “other guys” are immoral!]
Despite that, the way we all think about public disagreement has shifted, said Jennifer McCoy, a professor of political science at Georgia State University. There’s a difference between “I don’t like your ideas” and “I don’t like you.” There’s also a difference between “I don’t like you” and “You have no legitimate claim to political power and don’t deserve it.” Eventually, you get to a place where fewer and fewer people believe in government by and for all the people.
Of course, this deeply personal form of polarization has developed alongside other divisive trends we talked about earlier, like deepening social segregation and isolation, rising income inequality and eroding trust in institutions. Americans’ political identities were being fed by — and, in a sense, absorbing — those changes.
A nation divided into Hatfields and McCoys largely by geography (e.g., urban v. rural) and segregated social groups engaged in political and social war over often irrational and irreconcilable disputes and potentially willing to fight about it (even physically as suggested by January 6th) is not a recipe for a healthy society. Matters of race, of course, play a central role as the article makes clear. Frightening and depressing thoughts.
The worst part is the article’s last section which they title “No Way Out” and which makes clear the difficulty of righting the ship. As far as I’m aware, there is no example of a large multi-racial, multi-cultural democratic society elsewhere in the world to serve as a template.
My initial and now abandoned reaction was primarily to blame Republican elites (particularly the 2016 presidential candidates) who failed to adequately respond to Trump’s candidacy in a way that put leadership and moral values above their own interests. (I recognize and understand that they legitimately underestimated his threat, because I did too. But I would have thought they would know the dynamics of the Republican base better than I or than they obviously did. Politicians, especially at the level occupied by presidential candidates and their consultants, must be more out-touch than I judged – spending too much time with donors rather than their voters. Some of the problem is wishful thinking, obviously. Stuart Stevens’ book, It Was All a Lie is instructive on this dimension.) This is deeper than Trump; he was merely a symptom or the latest manifestation. Yes, he was a major accelerant who put us in a much deeper hole than we were in, but we were in a hole before he ramped up the birther nonsense and ultimately took over the GOP (temporarily, I hope). More fundamentally, it is unclear if actions by a goodly number of elite Republicans would matter – the reaction to Liz Cheney (or Mitt Romney etc.) is telling (re: Cheney see this Politico story the implication of which I take to be that elites are pretty powerless and will end up like Jeff Flake and Bob Corker). There’s a strong element of antiestablishment (w/o regard to party) and even more tellingly “Mason’s research found that people who saw the opposing party as evil were three times as likely to wish death on opponents within their own party.” Yikes. The tendency of most elected congressional Republicans to just keep their heads down and hope this passes (someone else or events fix the problem) is understandable but deeply regrettable and pathetic.
On the bright side, things were much worse before the Civil War, because slavery created a massive policy and economic division and the country was divided neatly by geography (the Mason-Dixon line). Now, the policy differences are relatively minor (in fact, one can make the case that Trump succeeded, in part, because his campaign abandoned Republican orthodoxy on trade and immigration – unfortunately, in my view) and geographical divisions are more like a marble cake across the entire country with sizable minorities of the the other party’s partisans in all states, no matter how red or blue they are. I don’t think we’re headed to another civil war or a breakup as some think, but that’s little comfort.
538 also has a podcast episode (“Partisans Don’t Just Disagree, They Hate One Another”), which includes Nate Silver and Perry Bacon as well as the two authors of the article. It provides some additional color and detail. The discussion of polarization starts at about the 18 minute mark.
After some initial posts pointing out the (then) lack of population adjustments in most media presentations of state COVID data and on Minnesota’s poor long term care facility record, I have refrained from writing about COVID out of respect for my lack of expertise. But COVID keeps dominating the news and much of my attention. So, I couldn’t refrain from doing one last post.
Overview
Because this post is ridiculously long and I cannot imagine anyone will read it (certainly not all of it), I will start with a bullet point summary of its highlights:
Minnesota and Wisconsin are similar states that have adopted different policies for addressing COVID-19. Minnesota has modest public health restrictions; Wisconsin has very few after its Supreme Court invalidated the governor’s executive order in May. That provides an opportunity to assess the effects of their respective actions, a “natural experiment.” This post presents some raw data comparing the two states’ experiences. A full evaluation must await more complete data and sophisticated statistical analysis by experts who know what they are doing (not me). Preliminary raw data present, at best, an impressionist painting of the situation.
For all of 2020, Minnesota has had many fewer cases (about 100,000 less) of COVID-19 but more deaths than Wisconsin after adjusting for population differences. Wisconsin has had more deaths than Minnesota following the invalidation of its public health restrictions but many fewer relative to its case rate than Minnesota.
Minnesota’s unexpectedly higher death rate is not explained by the age of its population, which is modestly younger than Wisconsin’s. The lethality of COVID-19 increases with age, particularly for the elderly, so that would suggest Wisconsin should have a higher fatality rate. It does not.
Minnesota’s higher minority population, groups who statistically are more susceptible to contracting and dying from COVID-19, also does not appear to explain its higher death rate.
My best guess as to the culprit is that Wisconsin’s long term care industry practices and regulatory policies are besting Minnesota’s, based on sketchy data.
On balance, Wisconsin’s looser health public health restrictions have resulted in much more sickness and modestly more deaths than in Minnesota.
But they also have led to more economic activity than in Minnesota – smaller drops in employment, consumer sales, and small business revenues. The overall differences are small with much bigger differences showing up in certain sectors (e.g., leisure and hospitality).
The imponderable is whether trading off more sickness and death (albeit mainly among the very old) for small increases in economic activity is a good choice. Much subjectivity (e.g., in assigning dollar values to pain, sickness, and death) is involved and my instinct is that where one comes down devolves to their philosophical priors and/or identification with a partisan tribe. Available data does not justify the vociferous self-assurance of many of the commentators and elected officials and should inspire more modesty, compromise, and cooperation.
COVID-19 data for the two states
This post compares data on Minnesota’s and Wisconsin’s experience in dealing with COVID-19. I have not seen these comparisons presented elsewhere but may simply have missed it. The two states have taken different policy paths to address the pandemic, mainly because of a Wisconsin Supreme Court decision (text of opinions) that nixed its governor’s statewide public health mandates. Since that decision Wisconsin has largely been “open for business” (starting May 14th) other than a patchwork of local restrictions and a statewide mask mandate adopted by the governor to which legal challenges in process but have not yet invalidated. By contrast, Minnesota has taken a somewhat more activist approach, but well short of what states in the northeast and on the west coast have done.
In dealing with SALT issues during my career, Minnesota and Wisconsin occasionally presented opportunities for “natural experiments” in social science research speak. The two bordering states are similar in size, demographics, and other factors with some modest differences in their business profiles, rural/urban breakdown (Wisconsin is slightly more rural), minority populations (Minnesota’s is a couple percentage points higher), and similar. Overall, they are similar. Social science research typically cannot run controlled experiments, since there is no opportunity to give placebos to a control group and see how they differ from the treatment group. Thus, when the two states’ public policies diverge (e.g., Wisconsin long has had a capital gains exclusion while Minnesota has not; Wisconsin has only minor homeowner tax incentives while Minnesota’s are generous), it presents an opportunity to study what effects those differences have. The COVID-19 policies present a similar opportunity. Background differences between the two states that affect public health outcomes may be much greater than is the case with SALT policies – here again my ignorance counsels caution in reading much of anything into this exercise.
The following are some readily available data without analysis or conclusions, just my commentary and speculation. I have never studied epidemiology at even the most fundamental level. (As an aside, I have noticed a fair number others who are similarly unqualified but appear smugly confident in reaching conclusions. More troubling, some mainstream media seem happy to lend credibility to their fairly wild assertions – looking at you Strib editorial page for publishing, e.g., Lennes, Tice, Kersten – all of them critical of the state government based mainly on their political priors and not credible data and analysis. Qualified experts with similar views do exist, but the Strib found it easier go with unqualified locals, I guess.) In any case, the basic data are interesting and suggestive – even if potentially misleading to the uninitiated like me. I assume after the dust settles (2023?), competent people will do careful analyses that control for relevant factors, are peer-reviewed, and will be informative – even if each pandemic is sui generis. Cross-country comparisons (using Sweden, which has consciously taken an approach even looser than Wisconsin’s accidental policy, and the other Scandinavian countries, e.g.) will certainly be done. See this FT story on the Sweden policy, which suggests its sponsors may be losing their nerve. (Quote: “Sweden has reported more than 2,000 Covid-19 deaths in a month and 535 in the past eight days alone. This compares with 465 for the pandemic as a whole in neighbouring Norway, which has half the population. As Sweden’s King Carl XVI Gustaf said just before Christmas: “We have failed.””)
Basic data on case and death rates show Wisconsin has more cases but fewer deaths, adjusted for population. The table shows population, testing, case, and fatality data (as of December 31, 2020) for the two states.
Variable
Minnesota
Wisconsin
Population (000)
5,611,179
5,822,434
Persons tested
2,972,804
2,822,063
Total tests
5,574,962
NA
% of population tested
53.0%
48.5%
Positivity rate
14.0%
18.4%
Number of cases
415,302
520,483
% of population
7.4%
8.9%
Total number hospitalized
21,864
21,207
Total in ICU
4,620
2,034
Number of deaths
5,323
5,242
% of population
0.09%
0.09%
Case fatality rate or CFR
1.3%
1.0%
Minnesota and Wisconsin COVID-19 cases and deaths
The two states have similar populations, so population adjustments only make modest differences. Minnesota has proportionately fewer cases (about 17% less on a population adjusted basis), but more deaths (about 5% more on a population adjusted basis). Cases include those confirmed by both PCR and antigen tests. The number of cases is sensitive to the level of testing and how the testing is done (i.e., who is being tested). Since Minnesota is testing at a higher rate than Wisconsin, testing differences are unlikely to explain Wisconsin’s higher case rate. With higher testing rates, one would expect Minnesota to have higher case rates all else equal. Of course, Wisconsin’s testing policy might be directed at individuals more likely to be infected; one would expect fewer tests to be better targeted. So, on the surface it appears that Wisconsin has a higher incidence of infections than Minnesota and more community spread. That would be consistent with Wisconsin’s looser public health restrictions.
But cases in Minnesota are more likely to result in death, as reflected in its higher number of ICU admissions, deaths, and higher CFR (the percentage of positive tests that end in death). Death statistics are less subject to testing levels than case levels are, even though lower testing levels may cause some COVID deaths to be misattributed to other causes. Given that, I would trust the numbers more after the CDC statisticians have reviewed and adjusted death certificate data. But even preliminary death data are more reliable and obviously more consequential than case rates. So, that looks superficially like a modest advantage for the Badgers.
Interestingly, Wisconsin despite its higher case rate has lower hospitalization rates and much lower ICU rates. Those differences could be attributable to medical care practices or simply to the fact that Wisconsin has fewer cases with severe symptoms because more younger people are infected. The lower ICU rates are consistent with a lower death rate, but the difference in ICU rates is much larger than in the death rates. So, something else must be going on.
The age distributions of the state populations do not explain the differences. The lethality of the virus is strongly correlated with age; the older you are the more likely contracting the virus is to be fatal. The power of this age effect is shown by the two tables below showing case and death rates by age group for Minnesota and Wisconsin. The death rate consistently rises with each successively older age group – by a lot for those over 70 (close to 10 percentage points per decade). The age distribution of Minnesota cases and deaths, as of December 31st (note that the case total is lower than the state total in the table above, because MDH did not yet have age date for a few cases on December 31st when I grabbed this data):
Age Group
Cases
% of total
Deaths
% of total
CFR
0 – 19 years
67,450
16.2%
1
0.0%
0.0%
20 – 29 years
79,534
19.2%
9
0.2%
0.0%
30 – 39 years
68,150
16.4%
30
0.6%
0.0%
40 – 49 years
59,896
14.4%
71
1.3%
0.1%
50 – 59 years
59,547
14.3%
222
4.2%
0.4%
60 – 69 years
41,322
10.0%
577
10.8%
1.4%
70 – 79 years
21,318
5.1%
1,145
21.5%
5.4%
80 – 89 years
12,479
3.0%
1,880
35.3%
15.1%
90 – 99 years
5,202
1.3%
1,309
24.6%
25.2%
100+ years
292
0.1%
79
1.5%
27.1%
Total
415,190
100%
5,323
100%
1.3%
Minnesota 2020 COVID-19 cases and deaths by age group
The age distribution of Wisconsin’s cases and deaths, as of December 31st (note: the Wisconsin death data is limited to confirmed deaths, which is why the total number of deaths is lower than in state total table which shows both types – I was lazy and used the Journal Sentinel table, rather than trying to construct my own from Wisconsin Department of Human Services API data and J-S reports on cases and deaths from PCR tests only for some unknown reason):
Age Group
Cases
% of total
Deaths
% of total
CFR
0 – 19 years
72,366
15.2%
2
0.0%
0.0%
20 – 29 years
91,532
19.2%
16
0.3%
0.0%
30 – 39 years
74,503
15.6%
35
0.7%
0.0%
40 – 49 years
68,012
14.3%
82
1.7%
0.1%
50 – 59 years
73,060
15.3%
266
5.5%
0.4%
60 – 69 years
51,996
10.9%
635
13.2%
1.2%
70 – 79 years
27,251
5.7%
1,208
25.1%
4.4%
80 – 89 years
13,387
2.8%
1,521
31.6%
11.4%
90 + years
5,185
1.1%
1,053
21.9%
20.3%
Total
477,292
100.00%
4,818
100.0%
1.0%
Wisconsin 2020 COVID-19 cases and deaths; source: Journal Sentinel
Thus, the age distributions of the two states’ populations could be a factor. A state with an older population, all else equal, is likely to have a higher death rate for the same infection rate. The table below shows the relative age distributions of the two populations. As can be seen, they do not differ much. Minnesota’s population distribution skews slightly younger (higher percentages in the under 20 group and lower in the 60 and over groups), so it moves in the opposite direction that one would expect if the age distribution explains the death rate difference. With proportionately more of its population in the younger groups, one logically would expect Minnesota’s fatality rate to be lower; it is higher. Blind alley.
Distribution of Minnesota and Wisconsin by age group; source: US Census Bureau
Age distribution of cases and deaths: Minnesota’s higher death rate is concentrated in the oldest age brackets. Of course, the issue is not simply the age distribution of the population, but the age of individuals who are infected with the virus and who ultimately die. Here, we are stuck with the vagaries of testing data because that is the only way we know whether someone is infected or not. Of course, the real infection rate is some unknown multiple of the case rate (i.e., the number of positives/population), because many infected individuals are not tested. This multiple could be 5 to 10 times the case rate and is sensitive to the level of testing and the protocols used to select whom to test. The graph shows the comparable Minnesota (blue bars) and Wisconsin (red bars) case rates by age group as a percentage of each state’s respective populations. Since Wisconsin does not report probable deaths by age group and Minnesota does, I distributed its probable cases and deaths to age groups in proportion to the confirmed cases and deaths to be consistent with the Minnesota data.
Minnesota and Wisconsin COVID-19 case rates as a % of population by age group
Wisconsin’s higher cases are more concentrated in the lower age groups than Minnesota’s. Except for the oldest age group, the red bars are consistently longer than the blue bars. The percentage of the population that tested positive in each of the age groups below 60 are about 2 percentage points higher for Wisconsin than Minnesota. For age groups 60 and older, the effect starts to reverse. For 60- and 70-year old’s, Wisconsin’s case rate is about one percentage point higher. For those above 80, Wisconsin’s case rate is less than a half percentage point higher than Minnesota’s. This concentration of more Minnesota cases in those 80 and older group almost certainly explains why it has more deaths, despite its lower case rate. As shown in the tables above, death rates are much higher in the older age groups, especially those 80 and older.
The graph below shows the two states’ COVID death rates by age group (again, as a percent of the population of the age group). Aside from dramatically showing the higher death rates for older age groups, the graph shows that Minnesota’s death rate is higher than Wisconsin’s primarily in the oldest age group (80+). Its rates are still higher for those between 60 and 79 but reverse with slightly lower rates than Wisconsin for those below 60. This likely reflects Wisconsin’s higher case rates in those age groups. Since Minnesota is testing at higher rates than Wisconsin, its infection rates may be even higher for those younger age groups. (Note that is pure speculation, since the states likely have different testing protocols that could be a factor in the relationship between and distribution of case rates or positives relative to actual infection rates.) In any case, despite its higher testing rates, Minnesota’s CFRs are higher for the oldest age groups. That may suggest that more of Minnesota’s most vulnerable elderly are contracting COVID-19 than in Wisconsin.
Minnesota and Wisconsin COVID-19 death rates as a % of population by age group
On the surface, this does not look good for Minnesota’s more restrictive public health policy, as compared with the laisse faire Wisconsin Supreme Court’s approach. Minnesota’s restrictions appear to be better at controlling community spread of the virus but are not in preventing deaths among its elderly as effectively as Wisconsin’s. The latter seems more important and is what conservative critics have been harping on, albeit largely based on uninformed speculation. Minnesota’s success in minimizing community spread has not carried through to preventing its more vulnerable elderly from becoming infected and dying. If that is so, why is an important public policy question for legislators and executive branch public health officials. The next section explores the most obvious candidate, long term care facilities.
Long term care facilities (LTCF) may explain the two states’ differences. Why does Minnesota do a better job of preventing general community spread than Wisconsin, while many more of its most vulnerable population – those 80 and older – contract the virus? One possible answer lies in regulatory and business practices in the two states’ LTCFs (i.e., nursing homes, assisted living and memory care facilities) or in differences in the demographics and health status of the populations of those facilities. I have blogged about Minnesota’s abysmal LTCF COVID-19 record and the media has covered it extensively in many stories, including multiple stories in the Strib.
Unfortunately, as far as my unexpert eyes can tell, comparable state-by-state data on COVID-19 infections and deaths in LTCFs are not readily available. Data are available from several sources, but they are not comparable because of differences in reporting, state LTCF regulations and reimbursement practices that causes institutions and their resident populations to vary from state to state, and so forth. The CDC requires (as of May) reporting by skilled nursing facilities. But even those facilities likely vary considerably in their practices and populations from state to state. Moreover, reporting for other facilities, such as assisted living and memory care, is totally inconsistent. Some states report this data (e.g., Minnesota), while others do not (e.g., Wisconsin). Moreover, these facilities because they are more lightly regulated, probably vary even more than skilled nursing facilities, making comparisons of available data more problematic.
Despite all those caveats, available state-by-state data show that Minnesota and Wisconsin have such wide differences that a good part of the story of Minnesota’s higher COVID-19 death rate among the elderly must lie in LTCF policies, practices, and regulations. At least, that seems to be a reasonable conclusion. Data from the COVID Tracking project, for example, report that Minnesota has had 15,320 cases in LTCFs and 3,220 deaths; Wisconsin, by contrast, has had 5,976 cases and 1,109 deaths. The differences in both cases and deaths are staggering; Minnesota’s cases and deaths are more 2.5X higher. Some of difference is explained by reporting differences – i.e., because Wisconsin does not include assisted living facilities in its reporting and Minnesota does. But it seems very improbable that that accounts for the full difference.
I could not find an ongoing data source that breaks out Minnesota’s cases and deaths between nursing homes and assisted living and other care facilities. This weekly CDC MMWR (Nov. 20) reports that Minnesota had 1,744 COVID-19 cases in assisted living facilities as of October 15th (Table 1). Minnesota deaths are not reported by the MMWR and it includes neither cases nor deaths for Wisconsin. CDC says it gathered this data from state websites. I have been unable to find on the MDH website a breakdown of cases between skilled nursing homes and assisted living facilities. So, I am unsure where CDC got its Minnesota data. In early June, MDH released data by type of facility under threat of a legislative subpoena. It showed that about 68% of the then LCTF COVID-19 deaths were in skilled nursing homes. I have been unable to find more recent breakdowns, now that LTCF COVID-19 deaths in Minnesota are more than triple the then June number of 896. That suggests most (maybe two-thirds) of Minnesota’s LTC COVID-19 cases and deaths are in nursing homes. If that is an accurate inference, Minnesota has significantly more cases in nursing homes than Wisconsin, despite Wisconsin’s higher population.
In any case, Minnesota is among the states with the highest proportions of its COVID-19 deaths attributable to residents and staff of LTCFs (64%) based on COVID Tracking Project data. Only four states had higher percentages. It seems safe to conclude that some set of differences attributable to LTCFs are a major explanation for Minnesota’s higher death rate among the elderly than Wisconsin’s. And that Wisconsin LTCF operators and regulators are doing a better job than their Minnesota counterparts.
A principal premise of reducing community spread is that doing so is essential to keeping the virus out of LTCFs. Otherwise, LTCF workers or visitors will bring the virus into LTCFs. That may be so, but if it is, Minnesota’s better job of reducing community spread appears to be, then, thwarted by some other factor or factors.
As an aside, see this WaPo story (Will England, For the first time, the U.S. will reward nursing homes for controlling the spread of infectious disease) on HHS incentive payments to LTCFs that have done a good job of controlling the virus in their facilities. The measure HHS uses is based on the differential between community spread and the level of the virus in LTCFs. Thus, CMS appears to have accepted the premise that controlling community spread helps LTCFs control infection rates. But as the article notes, this is controversial. It creates the opportunity for LTCFs in states with rampant community spread to get incentive payments by keeping their incidence low. Conversely, LTCFs in states that have done a good job of controlling community spread – e.g., Vermont and Maine – will rarely qualify. That is not obviously wrong to me, unless the measure rewards absolute differences. The article does not say. In any case, Wisconsin is getting a disproportionate amount of the payments – twice the rate its population would suggest it should get. This provides indirect support for the narrative that LCTFs policies and practices are an explanation for Wisconsin’s lower elderly death rates.
Minnesota’s higher minority population does not appear to be a factor. Minnesota has higher proportions of its populations and higher absolute numbers of minorities than Wisconsin. National data show that minorities suffer more severe COVID-19 cases, including deaths. For example, African-Americans experience death rates, when compared with whites, as if they were a decade older (Brookings Institution). Thus, Minnesota’s higher minority population (about 2 percentage points higher than Wisconsin’s) suggests that it should have a slightly higher death rate, all else equal. Both states publish case and death data by race (many states do not). The data reveal that despite its lower minority population, Wisconsin’s has essentially the same number of COVID-19 deaths of minorities as Minnesota and, of course, higher proportions relative to its total population. Minorities comprise about 13 percent of COVID-19 deaths in Wisconsin and 11.5 percent in Minnesota. Thus, this moves in opposite direction expected, suggesting the differences in the relative sizes of their minority populations do help explain the differences in death rates. Another dead end. This naturally points back to LTCFs as the likely culprit for Minnesota’s higher death rate.
What has happened since the two states’ policies diverged?
All the preceding data is for the entire period of the pandemic (for 2020 to be more accurate). But the two states policies began to diverge only after the Wisconsin Supreme Court invalidated the Governor Evers’ executive order in mid-May 2020. The natural experiment only really began in late May or early June. To control for this effect, the table and graphs below show the differences in cases and deaths from June to December. Because of the lag between exposure and when tests can detect an infection, June 1st seems like a reasonable starting point. December seemed like a reasonable cutoff since vaccination availability, distribution, and administration policies may begin to affect matters starting sometime in early January. The Table shows COVID-19 cases and deaths for June – December 2020.
Minnesota
Wisconsin
Cases
388,980
499,874
per 100k of pop
6,932
8,585
Deaths
4,273
4,650
per 100k of pop
76
80
COVID-19 cases and deaths, June through December 2020
Following the change in policy required by the Wisconsin Supreme Court, Wisconsin’s population-adjusted case rate is approximately 20% higher than Minnesota’s and its death rate is 5% higher. During March through May, Minnesota had higher case and much higher death rates. Post-May data continue to show Minnesota with a higher CFR than Wisconsin. Although Minnesota’s population-adjusted death rate is now lower than Wisconsin’s, it still seems too high given its lower case rate. Testing differences seems= unlikely to explain such a large gap. Again, my suspicions lie with LTCF differences between the two states.
The graphs show the weekly case and death rates for the two states for June through December. To normalize for population differences, I adjusted the Minnesota numbers upward so they would be proportional to Wisconsin’s higher population (about 4% higher).
Source: COVID-19 Tracking Project
The two states’ pattern of outbreaks have followed one another. Minnesota’s lower case counts (positive tests) are obvious (the large area between the two lines, of which the lower orange line represent Minnesota cases). Minnesota’s better performance in deaths similarly show up in the next graph, albeit in more modest fashion, which follow the same pattern as cases with the characteristic lag (deaths typically occur two or more weeks after infection).
Source: COVID-19 Tracking Project
For the pre-June period, Minnesota’s COVID death rate was 84% higher than Wisconsin’s. Following the Wisconsin Supreme Court decision, it was 5% lower. One could hypothesize that the court’s nullification of Governor Evers’ executive order explains the difference. I would not leap to that conclusion since other factors may be at play. In particular, when and how extensively the virus appeared in the two states may be a factor. States subject to early and virulent outbreaks of COVID-19 (e.g., New York, New Jersey, and Louisiana) suffered much higher death rates because medical practitioners were still learning the best therapeutic techniques and death rates were generally higher. The Twin Cities, as a large corporate headquarters location and travel hub, likely suffered much higher early exposure to the virus than Wisconsin. If Minnesota was more heavily exposed in February through March, it naturally would have experienced higher death rates that regressed to the mean. If so, the big divergence in the two states’ experiences during March through May period may be partially attributable to that and the reversal in the differences thereafter less to Wisconsin’s change in policy. But Wisconsin’s wide-open approach undoubtedly also contributed to the acceleration of cases and deaths in the post-May period.
On balance, it is difficult to not infer that Minnesota’s modestly more robust public health mandates have reduced infections, as well deaths to a lesser extent. Factors other than the public health measures also affect the infections and deaths and may differ between the two states. Thus, the magnitude of the effect requires analysis by someone who understands what control variables will better identify the effects of the public health measures in employing statistical techniques like regression analysis. But it seems safe to say the Wisconsin Supreme Court decision resulted in increased sickness and death. I assumed that they (the Republican justices who struck down the governor’s order and the Republican legislators who brought the suit) knew that would occur but concluded it was justified, which brings us to the next issue.
Effect on Economic Activity
More thoughtful critics of Minnesota’s public health measures generally recognize that more sickness and death will result from the looser policies that they advocate. Their point is that the resulting expanded economic activity provides greater benefits than the costs of sickness and death. (As an aside, much of the public commentary I have read is clear about that; what the authors have left unsaid is how they value the “cost” of more infections and deaths, relative to some measure of the “benefit” of more economic activity or what they think the relevant magnitudes of each are. So, their assertions are highly general and ultimately unsatisfying, bordering on the tautological or meaningless. I say that because reading their stuff is often maddening for me – self-righteous and condescending toward the folks making life-and-death public health decisions – given the lack of real analysis or stated factual bases for their criticisms. That may sound harsh, but their commentaries are pretty harsh, in my opinion.) Thus, one needs to look at the other side of the cost-benefit equation: to what extent has Wisconsin’s policy resulted in higher levels of economic activity that justify the more adverse public health outcomes (deaths, short or long debilitating illness, crowding out others from access to health care, etc.).
As an aside, I would point out that putting a dollar value on human lives and sickness in such cost-benefit analyzes is controversial and can be highly charged. Most of the COVID-19 fatalities are old folks (really old, 80 or older). How does that factor into the value of loss of their lives? By implication, these hard-nosed conservatives implicitly would discount it, I assume, as Texas Lt. Governor Patrick colorfully asserted. How do you put values on sicknesses that do not result in death? To an extent, economic output may implicitly take that into account (i.e., people not working, higher health care expenditures, etc.) but that doesn’t come close to capturing the real “value.” An abstract way to do so would be to sum how much infected individuals would be willing to pay – after the fact – to avoid becoming sick. That is an unknowable number, of course. All of this just underlines the difficulty of the calculus that the critics are asserting are being miscalculated.
Economic benefits could appear as either a matter of level (total economic activity under some measure) or distribution (which businesses or individuals realize net benefits or losses). Restrictions affect businesses and individuals differentially as they cause some buyers to substitute other goods and services. Individuals who cannot go to health clubs may buy home exercise equipment. Savings from the inability to travel or to go to restaurants may cause more home remodeling or construction. If we can’t go to restaurants, maybe we should update our kitchen? Home construction and remodeling in the Twin Cities have had a remarkably good year. See Jim Buchta, “For Twin Cities builders, 2020 was year of the single-family home,” Strib, 1/5/21: “Single-family homebuilders in the Twin Cities had one of their best years since 2005.” Big box retailers, like Target, have also done well. Most of the rhetoric focuses on the level, but some on distribution as well. Republican opponents of the restrictions typically walk restaurant and health club owners up to the microphones at press conferences, so their (Republican) concerns likely have an element of distributional concerns.
There are multiple challenge in assessing the economic benefits. Some big factors are:
Data lags. Unlike reporting of COVID test results, death, hospital admissions and so forth, reporting of economic data, particularly the best measures (such as gross state product, income measures, etc.) lag considerably. As a result, it will take a while to get the data necessary for econometricians to analyze the effects.
Inherent complexity make assessing cause and effect difficult. Many background and other factors affect economic decisions, sorting that out and isolating the effects of varying public health restrictions will be a challenge. This is, in addition, to adding controls to make the natural experiment a better measure of the effects attributable to policy, rather than background factors that differ between the states.
Distributional effects resist evaluation. These effects are real and hurt or help individuals as an unintended side effect of the restrictions. But there is really no principled way, for example, to value the fact that the reduction of one business’s sales (e.g., a restaurant) has help another (e.g., a home builder). Peter’s cost may be Paul’s benefit.
Given that and the fact that my goal in doing this is simply to provide an impression or first look, I simply assembled some comparative data on basic measures – jobs, sales, etc. from available sources. The easiest way to do this was to use the data from the website tracktherecovery.org, which assembles viturally real time data. Both MCFE and I (Webinar worth watching) have described this data. Since I’m doing this to get an impression, I took the easy route. The charts below are from that website.
The first shows the differences in Minnesota’s and Wisconsin’s employment. It shows Wisconsin with an initial smaller drop in total employment than Minnesota. The difference predates invalidation of Ever’s executive order (i.e., it starts showing up in April when the order was invalidated in May), so there must be a little more involved than the health policy differences. Minnesota’s heavier earlier exposure to the virus is a plausible explanation. Interestingly, the latest data show Minnesota has closed the difference and is doing slightly better than the Badgers in the last months of available data.
Source: tracktherecovery.org
If one focuses on unemployment of low-income wage earners, the effect is quite different. Wisconsin is doing much better (8 percentage points) than Minnesota as seen in the graph below. Many of the workers in the high touch industries (restaurants, bars, personal services, etc.) are low-wage workers and the effects of Wisconsin’s lack of restrictions on those businesses is obvious. Thus, if minimizing distributional changes or protecting low-wage workers is important, the Wisconsin policy appears preferable.
Source: tracktherecovery.org
The next chart compares total consumer spending in the two states. It shows that Minnesota’s spending dropped considerably more than Wisconsin’s (through December 6th) – by almost four percentage points. The immediately following graph shows the drop in spending by consumers in low-income zip codes. Reversing the pattern shown in employment, spending in these Minnesota areas dropped less than in Wisconsin (-0.1 versus -2%). A paradox – probably because more of the spending is by higher income consumers? The final graph shows the drop in restaurant spending, which shows the dramatic difference in the two states’ consumer spending on that sector as one would expect (Wisconsin’s spending dropped by 14 fewer percentage points). It is worth noting, however, that spending in Wisconsin is still down a whooping 38 percent, more than double its advantage over Minnesota. So, the lack of a public health restrictions are not a panacea for those business – two-thirds of their problem is people simply choosing to avoid the high risk activity of dining out, even if they are open.
A final set of three charts shows the differences in small business revenues, which highlight the differences in the structures of the two states’ economies. Factors that a careful econometric analysis, when more complete data is available, would need to take into account. The first chart shows the change in revenues for all small businesses. The differences are small and follow similar patterns; revenues of small businesses in Minnesota dropped by 0.4-percentage points more than in Wisconsin. A very small difference for a 30-percentage drop. But the second and third charts show breathtaking differences by sector. The professional and business sector in Minnesota declined by under 6%, while that Wisconsin sector dropped by 26%. Minnesota’s better performance likely reflects the benefits of its headquarters economy with multinational firms (in finance, health care, food, consumer products and similar) that have not been as hard hit by the pandemic. That pattern reverses for the leisure and hospitality small businesses, which saw a 13-percentage point larger drop in Minnesota than Wisconsin. This, of course, reflects the effect of Wisconsin’s comparative lack of public health restrictions on those businesses. But those business are sucking wind with revenue declines south of 60% in both states. So, most of the cause is the pandemic and the consumer response it to, not the public health orders. It appears Minnesota’s public health orders increases its leisure and hospitality small business’s revenue loss by, perhaps, 20 percent.
When I was working, my point of reference was to consider the potential effect on state tax revenues. That point of view provides one additional data point confirming that Wisconsin’s looser public health restrictions caused a smaller decline economic activity than in Minnesota. The Urban Institute reports on state revenues and shows that for April through September Wisconsin’s revenues dropped by 2.6 percentage points less than Minnesota’s. (Getting full access to the Urban data is more expensive than I’m willing to pay.) That is an extraordinarily crude measure economic activity because Urban is simply reporting year-over-year net revenues, unadjusted for tax changes, and the two states’ tax structures differ somewhat. (This NY Times Upshot blog post graphs additional Urban data for another month, which shows a similar pattern although Minnesota appears to be catching up a bit.) But it is something, especially since my instinct and available data suggest that the pandemic has affected Minnesota’s underlying economy less adversely than Wisconsin’s, implying the effect on Minnesota’s revenues should be smaller. The phasing-in of the revenue reductions from Minnesota 2019 tax cut could be a small factor in the April to September revenues.
Overall, it appears clear that Wisconsin’s looser public health restrictions have resulted in somewhat smaller reductions in levels of economic activity (employment, consumer sales, and small business revenue), when compared to Minnesota’s more widely applicable and slightly more robust restrictions. While the overall effects appear small, the distributional effects (particularly on the leisure and hospitality sector) are more dramatic. That combination may suggest that the structure of Minnesota’s economy, principally its sector mix, has insulated it more from the pandemic’s effects and/or that public health restrictions are inducing more substitution effects. More data and statistical analysis are obviously required to reach meaningful conclusions about the economic effects.
Observations
On balance, I am comfortable concluding that both (1) Minnesota’s modestly more robust public health restrictions saved lives and reduced the incidence of sickness compared to Wisconsin’s and (2) Wisconsin’s approach reduced the adverse economic effects of the pandemic a bit. The distributional effects of Wisconsin’s policy are probably bigger than the overall level of economic activity, though. But the imponderable factor is how to value the saved lives and reduced pain and sickness in the cost-benefit equation. There is a large subjective element inherent in that calculus – how should the age of fatalities factor in, how much one does one value avoiding the pain and suffering of a bout of COVID, aside from the pure economic costs of health care expenditures and lost output, etc.? So, the apparent results (tentative as they are) do not tell us a lot about whether the tradeoff makes policy sense.
As a healthy 70-something, I am happy that I live in Minnesota rather than Wisconsin. By contrast, if I lived in an LTCF or had a loved one in an LTCF, all else equal, I rather be in Wisconsin (to paraphrase W.C. Fields). Similarly, if I owned a restaurant I would likely prefer to be on the other side of the river.
When I first conceived of doing this post, I imagined awarding a “trophy” to the winning state (like Paul Bunyan’s Ax for the football game). But I couldn’t decide on an appropriate one (Nurse Ratched’s (“The Big Nurse”) syringe filled with a million doses of vaccine?) and, in any case, it would need to stay in the trophy case in the middle of the Mississippi or St. Croix River.
Of course, as pointed out at the outset, this at best a mere impression with greater clarity awaiting more data and sophisticated statistical analysis by expert economists and epidemiologists. At best it is like a Monet painting, while later high-quality analysis by experts might be closer to a low-resolution black and white photograph. Both of which are far from the goal of a high-resolution color photograph. In my mind, all of this points out the nonsense of the vociferous and self-assured nature of the political debate that is going on over these public health restrictions. These are difficult decisions for which there are no clear or certain answers.
I guess that pushes people back to the self-assurance of their priors. If you are a Republican who is skeptical of any government interventions in the “market” or of limits on private behavior, you revert to that mode and are convinced the restrictions are a poor choice. As an aside, I would tend to think “conservatives” (in the Burkean sense of conserving or preserving what is good in the status quo) would be more conflicted and might lean to being careful about preserving health and life. Their lack of conflict probably says something about the flavor of conservatism that now dominates the Republican Party (if it actually is conservatism). Democrats, by contrast, instinctively favor communal efforts and have higher levels of trust in government and, not coincidentally, control the state executive branch. As a result, they default to favoring Governor Walz’s more restrictive approach. So, much of this pitched fight is likely little more than the usual partisan philosophical fight carried out on a new battlefield.
Update note: Political and economic events often cause whatever slight value there is in a presentation like this to decay quickly. The November forecast, congressional decisions on a COVID relief package, and similar often may make economic and financial assumptions obsolete. Political events similarly may shift the context. The Senate majority’s announcement that Senator Carla Nelson will chair the taxes committee may fall in the latter category. It was made a few days after the presentation and could suggest a more moderate or pragmatic approach to tax policy issues and/or the potential need for revenue increases than I assumed (or not). As an interesting aside, the two tax chairs (Representative Marquart is the presumptive House chair) represent their caucus’s districts that voted most heavily for the opposition’s presidential candidate. Biden carried Nelson’s district by more than a 9-percentage point margin, while Trump carried Marquart’s by over 18 percentage points. That reality probably partially explains their more moderate views and may bode well for reaching compromises. The reality, however, is that big decisions (such whether to increase taxes and how) are now made by caucus leaders, not tax chairs.
Predicting what the legislature will do is a fool’s errand, which is likely why they asked me to talk today. As always, outcomes of the Minnesota tax legislative process will be determined by:
The fiscal and economic environment: the size of the budget gap (deficit) and the spending imperatives/demands – e.g., the perceived need for the state to respond to COVID-19 and its other more usual priorities.
The political environment: the split legislature means both parties will need to reach agreement to enact a budget. 2019 provided evidence that that can be done when there is a budget surplus, since the parties can agree to divide the surplus dollar between each of their preferred priorities (GOP = tax cuts; DFL = more spending). The one recent experience with a large budget gap (2011-12) does not bode well for reaching agreement easily and on time. There now are different political actors (new Governor and legislative leaders), but it’s unclear how much personalities, rather than the character of the parties themselves and their differing policy views, drove the difficulty of resolving matters. The ongoing fights over the Governor’s emergency powers and COVID-19 executive orders surely will make reaching agreement more difficult.
Political Environment: How can the two parties find agreement?
Mark Haveman’s presentation covered the fiscal and economic environment – more of an objective exercise; I’ll move into the subjective realm of politics and guessing what the legislature will do in response. If economic forecasting is a fraught with uncertainty, then forecasting politics is a hopeless waste of time. But it’s fun or, at least, it was a frequent topic of conversation with my former legislative staffer colleagues over lunch or at happy hours. Despite being insiders and working for key actors in the process, our predictions were little better than chance. Having lost the advantage of being an insider, my predictions likely will be worse than chance. Don’t say you weren’t warned.
What does the election tell us about the political environment?
When asked to do this presentation, one of the suggested topics was to assess the impact of the election on tax legislation in the 2021-22 session.
The Election Results. All legislators were on the ballot but no state executive branch officers (e.g., governor, AG, etc.) were. The election resulted in little change in the partisan balance of power:
The DFL picked up one net Senate seat, but the GOP still retains the slimmest of majorities (34-33). Breaking news as of yesterday, Senators Bakk and Tomassoni broke away from the DFL caucus to form their own moderate caucus, so the split is now 34-31-2.
The GOP gained 5 net House seats but the DFL retains a slim majority (70-34). The House GOP also has a rump caucus, but it is to the right of the main caucus, not a centrist affair like the new Senate caucus. So, it’s not an opportunity for the DFL to coopt and does not obviously weaken the GOP caucus’s bargaining position.
Tentative reflections on the potential general impact of the election results
Split control makes major tax and other policy changes unlikely. I think it is fair to say (without any inside knowledge) that the DFL had high hopes of gaining control of the Senate. That would have enabled them to close the budget gap and potentially fund new initiatives with tax increases. Retention of GOP control makes that improbable if not impossible. A variety of tax increases may have been possible and certainly some were likely under full DFL control (see below for my speculation as to what shape that may have taken); they are no longer. More likely, little will happen – in terms of material tax increases.
The GOP did quite well nationally and almost as well as in Minnesota (ignoring the elephant in the room, the presidency). This likely will make Republican legislators less willing to compromise on taxes and more willing to “roll the dice” waiting to see what the voters do in 2022 when everyone, including the governor, is on the ballot. It is likely to make moderate DFLers more reluctant to take risks (e.g., vote for tax increases as bargaining positions in the legislative poker game). This will be especially true for those with “swingier” or red districts (and remember this is a redistricting year, so some suburban and rural members may not know the exact political complexions of their districts). For example: Paul Marquart, the current and likely 2021-22 House tax chair, represents a bright red district that Trump carried by a wide margin. He will be instrumental in formulating House DFL tax positions.
Primary challenges eliminated a few moderate DFL members in safe districts. The general election also eliminated a few DLFers in swing districts. That combination is likely to make reaching deals with the GOP harder for the DFL caucuses, since one would guess the replacement members (fewer moderates) will be less willing to compromise. The new two-member Senate moderate caucus is a further reflection of that trend.
The election has further sorted the parties geographically. The DFL more heavily represents center cities, inner ring suburbs. and college towns in Greater Minnesota – the seats the DFL lost were mainly rural or exurban. (The one House exception was the South Saint Paul and Cottage Grove seat the DFL lost. The Senate DFLers picked up a St. Cloud seat.) By contrast, the GOP more heavily represents rural and exurban areas and gained seats there. (That leaves the outer suburbs and the Iron Range as the battle grounds, for whatever that is worth.) The creation of the new Senate moderate caucus is another data point in that trend. It may reflect that the Iron Range is ultimately destined to go Republican, contrary to its longstanding historical roots, making it consistent with the rest of rural Minnesota and overcoming its unique industrial labor history that created a strong affinity for the DFL Party. For those interested in the details of this geographic political split, I recommend listening to Todd Rapp’s fascinating presentation at the MCFE November Policy Forum, available online here (Todd’s presentation begins at the 1:34 mark) to MCFE members or reading Peter Callaghan’s MinnPost story based on that presentation. As a demographic matter, the GOP voters appear to be whiter, older, and less educated while the average DFL voter is younger, browner, and more highly educated.
An interesting question is whether this geographic and demographic sorting will influence tax policy positions – e.g., the design of state aid formulas and tax expenditures? Unclear, but I tend to think it is no accident that the GOP is such a strong proponent of exempting social security benefits from income taxation (its partisans are older and more likely to be collecting social security) and that they are willing to cut LGA which heavily goes to urban areas (on a dollar basis), areas they don’t represent. Will it affect support for student loan tax expenditures or other policies that have clear geographic or demographic beneficiaries (younger voters tend to vote DFL)? Hard to say; the effects are probably small and long run.
As an aside, rural Minnesota clearly benefits from a positive “balance-of-payments” from state government (i.e., these communities receive materially more in state aid and other state spending than they pay in state taxes). One might wonder how long that arrangement will persist if they remain solidly Republican and (if ever) the DFL regains control of both houses of the legislature and governorship for an extended period. That seems unlikely to occur for quite a while, given the geographical distribution of partisans (i.e., Todd Rapp’s point about the distribution of GOP voters making Republican legislative caucuses competitive for at least the next decade). Moreover, the DFL always holds hope of again competing for rural districts, so it will be reluctant to cut back on funding just because they solidly vote Republican. But without caucus members strongly advocating for rural interests, a natural tendency would be to prioritize other funding areas.
Will formation of the new Senate caucus affect the shape of a final budget deal, specifically with regard to the possibility of enacting tax increases? Off-the-top-of-my-head, I don’t think it will change that much. I simply cannot imagine the GOP majority moderating its tax aversion just because it has two moderate allies who are not actual caucus members. The bigger “what ifs” are what would have happened if the DFL had flipped the Senate with a one or two vote majority. In that instance, Senator Kent likely would have found that she was negotiating with Senator Bakk to keep him from defecting to a GOP-led form of coalition control, in which he would have had a central role in budget negotiations. It could become important if a vacancy occurs in the GOP Senate ranks, though.
Basic Tools for Closing a Budget Gap
There are four simple mechanisms that the governor and legislature typically use to close a budget gap:
Spending reductions are an obvious first approach. The administration has announced it is already taking some baby steps in cutting state agency spending. But most state spending funds programs operated by schools, cities, and counties. Those amounts are set by statute, which the governor cannot unilaterally reduce so long as there is money in state coffers to fund them. Reductions in these programs flow down to the local government budgets. They have some limited ability to offset reductions by using their reserves or raising local taxes – typically property taxes. So, state spending reductions can result in local tax increases. But that flexibility is limited in the short run, because of issues of timing and political acceptability.
State tax increases come in two flavors – (1) temporary or (2) permanent. Temporary increases are useful or politically attractive, if the perception is that the drop in revenues is also temporary and IF you think that temporary tax increases will not become permanent.
“Shifts” or deferrals of spending or acceleration of revenues – accelerating the collection of revenues/taxes or deferring spending until the next fiscal year. The most frequently used of these is to delay the payment of state aid to school districts. Flexibility in government accounting rules allows the state to increase its “settle-up” payment of aid to school districts (made after the end of the fiscal year when pupil counts and other factors that legally determine the final aid amounts are known) without accruing the liability. The normal settle-up payment is 10%. In the past, the legislature has more than tripled that percentage. That compels many schools to engage in cash flow borrowing, but not necessarily to cut their budgets beyond the small added interest cost of the borrowing. Increasing the school shift could conceivably be used to realize one-time budget savings of $1 billion to $3 billion. The shift is a “permanent” reduction in the level of aid (i.e., it doesn’t need to be “paid back”) until the settle-up percentage is reduced, either legislatively or by the statutory allocation of forecast surpluses.
Using reserves or other set-aside moneys – this is the classic looking through the couch cushions for money. The current biennium is likely to burn through the basic reserves, but there are a variety of other moneys that have been set aside, such as the stadium reserve (to identify one that most will recognize but there are others) that legally can be tapped for general fund purposes.
To bracket the possibilities for the 2021 session, it is useful to think about what each party would do if they were in full control of all three entities (governorship, House, and Senate).
What would GOP do if it controlled?
The GOP has not simultaneously controlled all three entities since the 1960s, so we must rely upon what they proposed when they controlled one or two of the relevant entities – i.e., 2003-05 (House and governorship) and 2009-10 (governorship) and 2011-12 (House and Senate) – when there were large budget gaps or deficits. That’s not a totally reliable indication of what they would do if they were in full control or as an actual enacted change, since those positions are typically formulated as opening bids or bargaining positions for the legislative negotiations. But it is the best indication that we have. So, based on those experiences, the following seems likely.
Heavy reliance on shifts or deferrals – it seems likely that they will do the maximum feasible amount of shifts (not sure what that would be, but maybe $3 billion or more), since that is the path of least political resistance. The obvious big candidate is the school shift. Because few of the other previously enacted shifts have been reversed, there are not too many other options. One possibility would be to increase the June accelerated sales tax (e.g., slightly raising the percentage rate and/or adding excise taxes once again). There may be other minor spending side deferrals that are possible.
Spending reductions would make up most of the rest. In the past, the GOP has proposed large cuts in human service and state agency spending and to not increase K-12 and transportation spending. I would expect that pattern to continue in the Senate’s proposals. They will likely also propose substantial cuts in aid to cities and counties, as well as in the property tax refund. The city and county aid cuts will focus on aid paid to urban cities (Minneapolis, St. Paul, and Duluth) and counties (Hennepin and Ramsey especially), since doing so has little effect on the districts they represent. On the property tax refund, I would expect that they will propose renter credit cuts with smaller cuts in the property tax refund if any (probably scaling it back so higher income homeowners get less). In 2011, they proposed significant renter credit cuts.
Rummaging through the couch cushions will also be done. I would expect that this could be good for a modest amount (at best, somewhat over a $100 million or so).
Obviously missing here are tax increases. Governor Pawlenty proposed a cigarette tax (well, okay, fee with a fig leaf special fund) increase in 2005 that was enacted. But that was an 11th hour proposal to reach a compromise and the GOP has stepped its tax aversion quite a bit in the 15 years since. Opposition to tax increases of any type defines the party’s brand; supporting tax increases is sure to earn an elected Republican the RINO (Republican In Name Only) moniker. As a result, and based on Senator Gazelka’s public statements, I think the GOP will strongly oppose closing the gap with virtually any tax increase. I’ll get into this a bit more below under the potential compromise or deal.
What would DFL do if it controlled?
The DFL was in control of both legislative bodies and the governorship in 2013-14 in a somewhat similar budget situation, so that provides a reasonable guide, along with what they have said on the record. Based on that and my own wild ideas:
Modest reliance on shifts – during and in the aftermath of the 2002 recession and the Great Recession the DFL regularly railed against the heavy reliance on the school shift that was a legacy of the Pawlenty era, but I see no way that the Governor and House do not propose some version of it just to make the numbers work without a massive tax increase that they know (1) will not be agreed to under any scenario by the GOP and (2) would be a political liability in the 2022 election when the Governor and all legislators are up for election. I would guess that this number (pending the uncertainty about the size of the gap) will be in the $1 billion to $2 billion range.
Small spending reductions – just as the GOP will not propose tax increases, the DFL will be reluctant to propose large spending reductions. They still will propose and agree to some. But we are here to talk about taxes.
Heavy reliance on tax increases – I expect both the Governor and House to propose to close the gap heavily with tax increases. Based on 2013, the go-to options will be corporate, income taxes on high-income filers, tobacco taxes, and to a much lesser extent a collection of other taxes. I will speculate about that more below.
Couch cushions – like the GOP this will be de rigor. Since MMB has the best knowledge about these options, the governor seems likely to take the lead. But some of them have already been tapped during the 2020 sessions and legislators are often willing to push the envelope more than governors. Legislators, however, tend to be willing to propose ones of more questionable practicality or legality to make their opening bids in the negotiations more politically palatable while still “balancing” (at least on paper).
Since this seminar is supposed to be about taxes, I’ll speculate about what sort of tax increases the Governor and House may consider including in their budget proposals and, then, further speculate about whether any of them could actually get enacted. Here is where I’m in really dicey territory – evidence-free, fake news, conspiracy theories, whatever you want to call my idle speculation. None of this is based on inside information. Except as otherwise specifically noted, I expect the GOP response to each of these options to be no. At the end, I will speculate possibility of a budget “deal” to end the (likely special) session.
Corporate tax possibilities
Conform in some way to GILTI – Speaker Hortman has said this is likely option during campaign, probably similar to what the House proposed in 2019 would be a good guess; Governor likely will propose some other variant that is less aggressive than the House version. Taxing something called “foreign earnings” is attractive politically. Campaign literature that includes charges of “My opponent voted to tax the foreign earnings of multinational corporations” probably is not worth the cost of the paper and ink. In fact, it might cause some more reflective readers to wonder why you would prefer to cut education or other attractive state spending priorities instead.
Partial tax on TCJA repatriation income – this has the feel of retroactivity, but the TCJA itself had a similar retroactive feel (i.e., tax applied to income earned potentially many years earlier, which federal law permitted to be permanently deferred; so, the repatriation tax repealed a de facto exemption of income earned many years earlier in some cases); federal tax applied in TY 2017 but is payable in 8 annual installments; state could take a parallel approach requiring recognition of federal repatriation amount in 2021 (i.e., taxing some percentage of the federal 2017 amount as a dividend, payable in tax years 2021- 24). State could argue it is conforming to TCJA’s deemed end of deferral, but with a bonus of four more years of interest-free deferral than allowed under federal law? This has the attraction of being a one-time, temporary tax. Comment about possible GOP response: Although the GOP legislature’s TCJA 2018 conformity bill taxed the income, it used its temporary revenues for a permanent rate cut; that does not show an appetite to use it as a revenue raiser for spending.
Impose corporate tax on pass-through entities – this has been proposed as a way to circumvent TJCA’s $10k limit on the SALT itemized deduction (IRS has indicated it will issue regs allowing) – in a twist, DFL could turn it into a revenue raiser by setting a higher rate or not fully exempting the income on the individual income side (suboptimal approach because it would reduce federal deductibility of the tax paid)
Temporary surtax – I do not think this has been done since the 1950s.
Individual income tax possibilities
Temporary or permanent rate increase on high-income filers – seems like that well has been tapped already with the 2013 rate increase, but that is where DFL rhetoric typically points and other states still have higher top rates.
Temporary increase of some sort (surtax as was done in the early 1980s). I doubt that they will go there, since GOP will not agree, and they would be bludgeoned with it in the 2022 campaign as taxing everybody, even though almost 50% of the population does not pay income tax.
Repeal 2019 rate cut championed by the GOP – they might not want to go there because it would be a middle-class tax increase, since the rate cuts were on the lower brackets. Same arguments as made for the surtax apply here but it would not be temporary, so even worse politically.
Base increase – e.g., limit deductions (mortgage interest, property taxes, or similar), repeal more recently enacted tax expenditures championed by GOP (529 plan breaks, reciprocity breaks for those working in Wisconsin, student loan credit, long term care credit, etc.) – since I’m no longer talking with members, I don’t have a good feel for the politics of any of this. Typically, they are considered a heavy political lift (concentrated opposition from the interest groups that support them) relative to the modest revenue they raise. I am sure that they will not go after the social security deduction that was enacted in 2017 and expanded in 2019, given its political popularity and senior citizens’ electoral power.
Sales tax possibilities
Expand base by extending tax to services or repealing some exemptions – this was a classic move in the old days (late 1980s and early 1990s); no one seems to talk about it anymore, but I would not be surprised to see some limited options reappear.
Expand local taxing authority – this could be done in the metro area for transit, allowing reduced general fund payments for transit operations or general authority could be provided for cities and counties to impose and use for general purposes. Most existing local taxes are restricted to specific capital type projects. State savings could be realized by offsetting or reducing aid paid to the local units that are granted new authority (LGA for cities or CPA for counties). This passes the formal political responsibility for actually imposing the tax increase to local units, slightly reducing the political risk to legislators. GOP response: This might have some slightly greater potential for inclusion in a final “deal” for that reason. Similar approach was taken in 1992 with counties imposing sale tax rate and offsetting state aid when Arne Carlson was governor and the DFL controlled the legislature. The current, strong version of GOP tax aversion seems unlikely to go for such a fig leaf, though.
Temporary rate increase – seems unlikely because Minnesota’s rate is already very high and it’s regressive, which does not appeal to DFL legislators.
Other taxes or revenue possibilities
Increase gas tax and back out some general fund money used for highways (e.g. dedication of sales tax on vehicle repair parts or vehicle leases) – Governor proposed gas tax in 2019 and seems likely to do so again; this could be used as a backdoor way to help general fund by reducing general fund subsidies for highways. Likely GOP response is strong opposition: Senator Gazelka’s public statements and their campaign positions probably lock that in.
Increase cigarette excise tax – this was done in 2013 to such an extent that there is little room for additional increases, but the 2017 tax bill repealed indexing of the tax rate. One possibility would be to restore that or to increase the rate by the amount that indexing would have yielded absent its repeal. Sin taxes (same goes for alcohol excise taxes which are a less popular option) are among the most regressive taxes, which causes DFLers generally to disfavor them, but the revenue and government costs of the vices often overcome their equity concerns. Legislators representing districts on the state borders generally strongly oppose increases because they cause leakage of sales to retailers in neighboring states.
Increase alcohol excise tax – this has been proposed in the past to fund chemical dependency treatment; excise tax rate was last increased over 30 years ago and is not indexed for inflation; tax is much lower than the government’s cost of dealing with alcohol abuse.
Legalize marijuana and impose an excise tax on it. Voters in four states (AZ, MT, NJ, and SD) authorized legalization and taxation in the 2020 election, but I doubt that will sway legislative opponents’ minds. The short run revenue potential is limited because it will take time to institute a regulatory and tax system for a newly legalized product; with its narrower majority in the House I wonder if the DFL has the votes to pass, although one or two libertarian GOPers could crossover and vote for it, I suppose.
Repeal some of the GOP-led reductions in the state general tax (C/I property tax) – I doubt that they would propose to eliminate the exemption, but could see DFLers proposing to increase the levy, set the tax as a rate rather a levy, or restore indexing of the levy.
Increase estate taxes, e.g., by reducing the exemption amount or making rate changes (e.g., going to a flat rate of 16%, the current top rate, or going even higher as in Washington state) – DFLers favor progressive taxes and estate taxes are an easy way to do that; the small potential revenue yield makes it largely symbolic, but it’s a big symbol to both parties; the ferocity of the debate is surprising given the small revenue stakes and number of taxpayers involved (like Henry Kissinger’s description of academic politics – “they’re so vicious because the stakes are so small”)
Others may be proposed (carbon tax?)
Compliance initiatives were a staple of Pawlenty administration to raise revenues without increasing taxes. In a stalemate environment, they could reappear. One option a few other states have started to look at are liquidated/defunct partnerships and S corporations with negative capital accounts from booking losses in excess of income. The IRS allegedly has not been attempting to collect the recapture taxes that would be owed as a result and that expanded data availability may allow auditing for that and collecting from the partners or S shareholders. This would be extraordinarily complex for a state (probably why the IRS has not pursued – in addition to the reality that it might encourage zombie partnerships and S corps to avoid paying) and the revenue yield is likely to be long run, rather than a quick fix. That reduces the ability to book money for budget purposes. GOP response: This seems like a live possibility because it is not a tax increase per se. But its viability will depend upon whether DOR staff think it is feasible option – I have no insight on that since I have not been in contact with them.
Prospects for a deal that includes some type of tax increase or other changes?
Based on the 2011 experience, it seems unlikely that the GOP Senate will agree to any meaningful tax increase. The election results, which they will regard as a rejection both nationally and in Minnesota of a liberal or big government agenda, will likely stiffen their resolve in that regard. However, I would not totally write off some limited and temporary tax changes (e.g., on corporations or excise taxes) that raise a modest amount of revenue BUT ONLY IF the deficit/gap is very large (e.g., $3 or $4 billion more than the current estimate).
As I suggested at the beginning, making predictions about what the legislature will do it foolhardy. But here goes (disclosure: I would not put any money on my predictions):
One thing that is safe to predict is that there will be a budget deal. It may take an extended special session and a government shutdown (as in 2011). But Minnesota, unlike some states (e.g., Wisconsin and Illinois), does not have a permanent spending authority allowing the state to operate on autopilot in a deadlock. On the surface that is good, because it makes running up a de facto deficit as Illinois has done more difficult. It makes government shutdowns more likely of course.
The deal will include a large helping of shifts – closer to the maximum tolerable amount than a minimal amount like $1 billion. That is so because it is something both the DFL and GOP can agree on; it’s the politically easiest solution. Opposition to forcing schools to borrow, which is what the school shift does, was a drum beat of DFL legislative campaigns in 2012 election and may have affected the GOP’s loss of their majorities. But it’s unclear how much that was a factor, given the myriad of factors involved in any election campaign. For example, the 2011 legislative Republicans also were responsible for repealing the market value credit, resulting in homeowner property tax increases (especially in rural areas of the state, their strongholds). One GOP legislative staffer privately told me that they felt the decisive factor in 2012 election was putting the two constitutional amendments on the ballot (Voter ID and Same Sex Marriage ban), which drove the DFL base to turnout in mass. So, it is not clear to me how much they will consider a big increase in the school shift to be a political liability based on the 2012 experience. I think will view the shift as preferrable to tax increases or larger spending cuts in reaching a deal with the DFL. But that’s just a guess by a nonpolitical guy.
There will be some amount of spending reductions, many of which will likely be shared or primarily borne by cities and counties through reductions in state aid. Failing to fully fund the current services level of health and human services programs seems likely because there is so much money in those budgets and the GOP typically proposes it. (Whether you consider that to be a spending reduction typically depends upon whether you are a Democrat – yes – or a Republican – no.)
Whether there will be any or significant tax increases is the big unknown. If the deficit remains modest – e.g., because Congress comes through with aid and/or the economy continues to recover – will be a key factor. If the budget gap is less than $4 to $5 billion, I would guess there will be no tax increases or very small ones wearing disguises (fee increases, cuts in tax expenditures, etc.). As the size of the gap rises, the possibility of some type of tax increase rises. But …
I would be remiss if I did not point out that the 2011 budget deal uncovered the legal ability of the state to use “appropriation bonds” or non-tax revenue securitization (such as tobacco bonds) as a de facto deficit financing mechanism. I would not be surprised to see that option reemerge if the gap to be closed is exceptionally large ($6+ billion). The tobacco settlement payments are no longer an option. But there are other nontax state revenues that could be securitized. I would guess the Senate GOP will hold out for that before agreeing to material tax increases. This approach is problematic (more so than deferrals or shifts) because payback must start in the next biennium, deepening the hole the state will be in then. That was not a big problem in 2013-14 because DFL control resulted in enactment of a large tax increase augmented by a modestly robust economic recovery. It would be very problematic with continued divided government and a stagnant economy in the 2023-24 biennium.
Possibility of other tax changes. Even if the final deal does not involve tax increases, I would assume that would not foreclose making changes that shift the tax burdens around without raising revenues. That might allow passing a conformity bill that addresses some of the federal changes made in the CARES Act, among others. Conforming to the NOL and loss changes is highly unlikely because of the large revenue reduction that would result, but there may be ways to mitigate the complexity caused by linking Minnesota law to an earlier version of the IRC. Working around TCJA’s limits on SALT deductibility for pass-through entities (referenced above as a revenue raiser) is sure to be seriously considered and has a good possibility of being adopted because it is a relative cheap way (feds bear the cost) to bestow a benefit on an important constituency. Addressing extenders will come up in 2022.
In any case, a session that must respond to a (hopefully) once-in-a-century pandemic and close a very large budget gap is sure to hold many surprises and unexpected results. It is also safe to predict that enacting a budget will require a special session that will not conclude before June, if then.
Yesterday’s WaPo has a story, David J. Lynch, “Mounting commercial real estate losses threaten banks, recovery” (11/11/2020), about the growing problems in commercial real estate as a result of the pandemic. The main thrust of the story is the pressure that this may/will put on banks and other real estate lenders. Two paragraphs on the details of the Burnsville Center bankruptcy caught my eye. I’m sure they weren’t news to locals (unlike me) who are involved in real estate and who pay attention to such matters, but they appear sobering. Here are the two paragraphs (the whole article is worth reading):
In July, CBL & Associates, a real estate investment trust, was due to pay off its $63 million mortgage on the Burnsville Center, anchored by tenants such as J.C. Penney and Macy’s. Instead, after pandemic-related “store closures and rent reductions” cut into mall income, CBL surrendered to its lender half of the mall, which it had pledged as collateral.
That 525,000-square-foot parcel was worth $137 million in 2010. But last month when the unpaid note was auctioned off, it sold for less than $20 million, according to Trepp. That 85 percent decline will mean losses for investors holding the riskiest slices of a securitized loan pool packaged by Goldman Sachs’s structured finance unit.
David J. Lynch, “Mounting commercial real estate losses threaten banks, recovery” Washington Post, 11/11/2020
That is a spectacular drop (recall 2010 was not a good real estate market), if I’m reading it correctly and the numbers are close to actual market values. Distressed sales, of course, don’t often reflect fair market values and assessors reject them as comparable sales, of course. But if this is a partial glimpse of the new retail reality, the property tax effects on other properties (think homes and apartments in taxing districts with malls, especially the less healthy ones) will be felt as the assessors’ values recognize the market reality (more displacement of bricks-and-mortar retail sales by Amazon and other online sellers). That will probably take two or three years to show up, which is just when local governments are likely to start raising their levies again and putting a pause on levy increases to give taxpayers some pandemic relief.
The bonding bill that Governor Walz signed on Wednesday (October 20) is also a tax conformity bill of sorts. It ends a decade-plus run in which Minnesota failed to conform to the § 179 rules allowing some businesses to deduct purchases of capital equipment in the year made, instead requiring 6-year amortization. This House Research publication explains the old Minnesota rules, which are now largely obsolete starting for purchases made in 2020 or for qualifying like-kind exchange property purchased in 2019. Earlier versions of the publication (which I coauthored) detailed the history of federal changes in the § 179 rules that Minnesota did not conform to, but the one-page format no long can accommodate that long list. I do not believe the old editions are available on the Internet.
What’s the single subject?
It is somewhat unusual (to put it mildly) that the provision passed as part of what is predominantly a capital investment or bonding bill. Moreover, it’s not the only tax provisions in the bill; article 8 contains a collection of minor tax provisions, mostly changing property tax rules (eliminating the need to pay tax before demolishing damaged property in some cases – think Lake Street – classification of Airbnb rented cabins, etc.). The bill also contains supplemental appropriations. Including tax provisions in a bonding bill may very well violate the constitutional requirement (article IV, section 17) that a bill embrace a single subject, although I guess one could argue its single subject is public and private “investments” so to speak. (The bill’s title, which is one touchstone of the constitutional provision, does not do that but characterizes it as “relating to public finance[.]”) Any single subject concern is likely a technical one, since I doubt anyone with legal standing to challenge the conformity provision would want to bring a lawsuit. Minnesota’s taxpayer standing is limited to challenging illegal spending, not unconstitutional tax reductions and the provision does not raise anyone’s tax, conferring standing in that way. That would not be true of the property tax provisions – any owner of taxable property in a jurisdiction affected by the changes would likely have legal standing to sue, since the property tax is levied-based (i.e., any change in the tax base changes the rate and shifts the burden). But no one likely will do so. Thus, musing about single subject violations would be an academic exercise.
Revisionist history
The Strib story on Senate passage of the bill quoted Majority Leader Gazelka on the conformity provision (my emphasis in bold):
Senate Majority Leader Paul Gazelka, R-East Gull Lake, praised a provision to align state and federal tax law to allow businesses to deduct large equipment purchases. Gazelka said the change, which Republicans have pushed for years, will allow farmers and business owners “to invest in their operations and keep growing their business in these challenging times.”
Their ”pushing” of § 179 conformity, by my lights, was pretty weak, since they:
Did not bother to include section 179 conformity in the 2017 tax bill that they passed, when Republicans controlled both houses of the legislature. (That was the bill that Governor Dayton signed to avoid triggering an effective date in another bill making Department of Revenue funding contingent on tax bill becoming law.) Instead, they opted for:
Tax deductions for social security recipients
Deductions and credits for parents saving for college in 529 plans
Tax credits to educate first-time farmers and to help them buy farmland
A business property tax cut
Tax credits for student loan payments
Tax deductions for those saving to buy a home
Tax credits for Minnesotans who work in Wisconsin and pay higher taxes because Wisconsin’s income tax is higher than Minnesota’s
They did include it in their 2018 tax bill, but they knew that bill would be vetoed by Governor Dayton because it was wrapped up in a tax cut unacceptable to him. Coming up with a conformity bill that could be enacted into law would have required negotiating with the governor and jettisoning some of the bill’s tax cuts (probably § 179 conformity if their actions in 2019 are the guide).
They did include it in their initial 2019 tax bill (as did Governor Walz in his tax proposal and the House Democrats in their bill), but they did not insist on it in either the high level budget negotiations or in the tax conference committee negotiations because it was not included in the final 2019 bill. Instead they must have insisted on:
More tax deductions for social security recipients
An income tax rate cut
More business property tax cuts
All those tax cuts made it into law and were priority items for the GOP Senate by most accounts.
Thus, Senator Gazelka’s comment that “Republicans have pushed [§ 179 conformity] for years” really means it was on our list of tax cuts (a really long list I would add), but was a lower priority than handing goodies to seniors and business property owners. It was only when farmers and tax preparers started telling us the effects and making a stink that we got religion and, in the process, created a bigger budget hole for the governor and 2021 legislature to solve.
One counter is that Democrats were also responsible for the 2019 failure, since they proposed it as well. True enough but they’re not the party of business, the party defined by tax cuts, and they don’t claim (to my knowledge) that they have been pushing for the provision for “years” as the GOP Senate apparently now does. Moreover, one would think the party that regularly touts the importance of “job creators” would prioritize reductions for businesses buying new capital equipment over breaks for social security and similar.
One possible view is that the GOP Senate is really just a clever negotiator, since their strategy ended up yielding larger tax cuts, a plus for Republicans, than if they had responsibly insisted its inclusion in the 2019 tax bill. (I tend to think this was not an intentional 2019 strategy – I can’t imagine they’re planning chess moves that far ahead, but who knows.) The legislative process does reward what seems (to me anyway) bad faith behavior in negotiations all too frequently.
My point is not to diss Republicans rhetoric and their positions but that this episode reveals the tepid political appeal of federal conformity – particularly for business provisions – as I will describe in a forthcoming second post on conformity.