Monthly Archives: May 2011

Historical Tax Revenues Are Irrelevant and Insufficient

Roberton Williams has a terrific post at TaxVox that’s worth reading in full. The gist of his argument is that historical revenues as a percent of GDP are, contra Paul Ryan, not a normative benchmark for the government going forward.

It is true, as Ryan’s plan noted, that that level of revenues matches the historical average for recent years. Over the past half century, the share of GDP claimed by federal taxes has ebbed and flowed, ranging from a high of 20.6 percent in 2000 to a low of 14.9 percent each of the last two years. The 50-year average was just a hair under 18 percent (see graph). But nothing says this should be the correct level of taxation going forward. [Emphasis added]

Absolutely right. The population is getting older. We’re no longer fighting the Cold War. The nature of the American economy has shifted dramatically in the last twenty years, to say nothing of the last fifty.

I’d also add this: If you look over the last fifty years – and there’s nothing that makes 50 years the “right” scope (why not 25? Why not 200?) – the weighted average of revenues-to-GDP is 17.8%. The corresponding spending-to-GDP figure over that period is 20.7%. In words, the historical average over the past 50 years has been a deficit of about 3% of GDP. There’s a lot of math involved, but the bottom line you would find is that the nation’s overall debt-to-GDP ratio stays roughly constant when you run deficits of 3% of GDP (remember that the economy grows too, so you can run small deficits and still maintain or even decrease the debt-to-GDP ratio). But if we want to decrease the debt burden, we’ll need to get to deficits below 3% of GDP. Simply reverting to average historical revenues and spending would thus be insufficient to reduce America’s debt burden. And of course, historical averages tell you nothing objective about the cause of the problem. Conservatives like to tout the historical comparison as evidence that we have a “spending” problem, but you could make just as convincing a case that the problem is insufficient revenues (up to today, that is; going forward, there’s far more consensus that the problem is one of runaway health care spending). Really, these statistics are just an inkblot test for one’s prior assumptions.

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Conley & Dupor is not the first empirical ARRA study

If you’ve only just tuned in to research on the Recovery Act (stimulus), you might think that the paper released by Conley and Dupor was the first empirical study of ARRA’s effects. To recap, though, here’s their abstract:

This paper uses variation across states to estimate the number of jobs created/saved as a result of the spending component of the American Recovery and Reinvestment Act (ARRA). The key sources of identification are ARRA highway funding and the intensity of state sales tax usage. We estimate the Act created/saved 450 thousand government-sector jobs and destroyed/forestalled one million private sector jobs. State and local government jobs were saved because ARRA funds were largely used to o set state revenue shortfalls and Medicaid increases (Fig. A) rather than boost private sector employment (e.g. Fig. B). The majority of destroyed/forestalled jobs were in growth industries including health, education, professional and business services. Searching across alternative model specifications, the best-case scenario for an effectual ARRA has the Act creating/saving a net 659 thousand jobs, mainly in government.

Noah Smith critiques the paper based on a fairly fundamental problem: even with a more permissive 90% confidence interval, the results are still not statistically significant. Notice how the confidence intervals around every coefficient estimate except one bookend zero:

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I would add that, more generally,Conley and Dupor don’t posit a plausible explanation for the results, which is shocking given how counter-intuitive they are. The authors surmise that laid off government workers would have otherwise sought private sector employment, but this doesn’t explain why the private sector would lay off worker in the first place, why the losses would be correlated with ARRA spending, and why the loss would be greater than the increase in government employment. Perhaps ARRA spending acted as a negative signal to employers in a highly-uncertain environment? That doesn’t strike me as terribly likely either, however. Even the assumption of Ricardian equivalence (you save your stimulus money in anticipation of higher taxes later on) would simply imply zero effect, not a striking negative effect.

By contrast, here’s the abstract of a February 2011 NBER paper by Feyer and Sacerdote, the first empirical ARRA study I’m aware of:

We use state and county level variation to examine the impact of the American Recovery and Reinvestment Act on employment. A cross state analysis suggests that one additional job was created by each $170,000 in stimulus spending. Time series analysis at the state level suggests a smaller response with a per job cost of about $400,000. These results imply Keynesian multipliers between 0.5 and 1.0, somewhat lower than those assumed by the administration. However, the overall results mask considerable variation for different types of spending. Grants to states for education do not appear to have created any additional jobs. Support programs for low income households and infrastructure spending are found to be highly expansionary. Estimates excluding education spending suggest fiscal policy multipliers of about 2.0 with per job cost of under $100,000.

Scott Sumner critiques here. So Conley & Dupor is now the second empirical ARRA paper that 1) exploits regional variations, and 2) controls for endogeneity using instrumental variables. Both are, broadly speaking, valid approaches, but given that these two papers have opposite results, I predict the debate will shift towards the robustness of the instruments.

For a (slightly) on-topic discussion about the risks of over-using instrumental variables, see this Austin Frakt post.

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Speculative Political Speculation on Mitch Daniels

Christopher Rants, writing in the Sioux City Journal, had a trenchant critique over the weekend of Mitch Daniel’s record as OMB director. Daniels of course is not the only person responsible for the expensive policies that were enacted between 2001 and 2003, but in this political climate it might be the substantive target that the more centrist GOP candidates like Romney and Huntsman need to land some blows.

Even with Haley Barbour in his corner, I just can’t see Daniels winning the nomination. Mitt Romney can outspend him, and, I agree with Ross Douthat, reports of his political death are greatly exaggerated. Tim Pawlenty, no longer competing with Mike Huckabee, can out red-meat him; in fact, given Daniels politically-disastrous truce idea even Giuliani could one-up the man on social issues. Finally, the Bill Bradley-image may make undergrads swoon, but it’s not going to win over rowdy caucus-goers.

Put another way: if he does get the nomination, then Boss Hogg will have proven, I think, more impressive a GOP powerhouse than even Karl Rove.

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CBO: Budget deal saves $122 billion over the next decade against their last baseline projections

Baselines are confusing animals, even if they’re constructed with the best of intentions (which is often not the case). But if you want to see the effects of a policy in any year beyond the one you’re in now, you’ll need to make some economic and fiscal assumptions going forward. That’s all a baseline is.

The Congressional Budget Office’s 10-year baseline assumes that discretionary (basically, non-entitlement) spending grows annually at future rates of inflation (rates which, themselves, constitute another assumption).* So under the latest CBO baseline, which came out in March, discretionary outlays were assumed to rise from $1.36 trillion this year to $1.58 trillion in 2021.

But things have changed since March. There is one less terrorist mastermind in the world, for one. More relevantly, Congress passed and the president signed a budget deal that cut spending for 2011 below where CBO assumed it would be.

Now, the budget deal was only for 2011. For the most part, it didn’t affect spending in future years, for the simple reason that the federal government currently only budgets for one year at a time. However, by lowering this year’s spending, the deal also lowered future spending under CBO’s baseline assumptions. Since CBO won’t update its inflation projections until August, those same annual inflation projections would now be applied to a lower base, which would lead to lower deficits and debt through 2021. The question was, how much lower?

Today, CBO answered the question. Using their baseline assumptions, the budget deal lowered non-interest spending by $122 billion over the next 10 years. Were CBO to include an estimate of the interest savings from the budget deal, the cumulative savings would be higher.

To put $122 billion in context: if we assume that all the Bush tax cuts, the AMT patches, and current Medicare physician reimbursement rates are permanently extended, and we wanted the debt-to-GDP ratio at the end of 2021 to be the same as it was at the end of 2010 (about 62%), we would have to cut the deficit by a total of $8.3 trillion over 10 years. Even allowing for added savings from interest, the budget deal is not even 2% of that.

Bottom line: the work goes on.

* It’s a legitimate question whether this assumption is a good one; i.e. whether it actually matches the historical data. I think the data show that discretionary spending grows more closely with GDP than with inflation. But it’s a moot conversation: my understanding is that by law CBO must use this inflation assumption for its baseline.

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Rent Control: 4th Dimensional Discrimination

Elizabeth Lesly Stevens has a provocative story on rent control in San Francisco and its adverse consequences. Read the whole piece, but remember the lede:

In San Francisco, one of the toughest places in the country to find a place to live, more than 31,000 housing units — one of every 12 — now sit vacant, according to recently released census data. That’s the highest vacancy rate in the region, and a 70 percent increase from a decade ago. [Emphasis added]

It’s probably safe to say that there are lots of people who would love to live in San Francisco but can’t find a place due to constrained supply, not only because of rent control but also because of density limits. Notice how that conclusion doesn’t change if you focus on affordability: rent control and density limits benefit those lucky enough to already live in the city but discriminates against future potential residents both by limiting available supply and raising prices. And by virtue of being future potential residents, these unlucky non-San Franciscans didn’t have their interests represented when rent control was up for a vote in City Hall. As Doc Brown might say: 4th dimensional discrimination.

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Pew on the Drivers of the National Debt

Our team here at Pew released a report on Sunday – The Great Debt Shift [PDF] – that uses Congressional Budget Office data to show the drivers of the $12.7 trillion change in their projections of 2011 federal debt, going from a January 2001 projection of $2.3 trillion in savings to a March 2011 projection of $10.4 trillion in debt. The bottom line is that new legislation passed since 2001 represents more than two-thirds of this shift in CBO’s debt projections, but no single piece of legislation is overwhelmingly responsible for the growth in debt since 2001. We worked hard to come up with a clear way of visualizing all these different drivers, and it’s heartening that people like Ezra Klein think we succeeded. Figure 2, for my money, is the best takeaway from the report:

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Also be sure and read Lori Montgomery’s story in the Washington Post that weaves an interesting narrative around these numbers.

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