So, Why Didn't the 2009 Recovery Act Improve the Nation's Highways and Bridges?
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@BillDupor, the 2009 Recovery Act’s federal highway funds failed to enhance the nation’s infrastructure due to states substituting federal dollars for their own spending, with each grant dollar resulting in a state cut of 81 cents.
When states get federal highway dollars they substitute those for their own highway spending. The Recovery act from the last recession, therefore, didn’t improve highways much because the level of spending stayed roughly constant. Bill Dupor reports the 2009 Federal stimulus money had no net impact on highway infrastructure as states used the Federal dollars to offset their own existing highway spending, "...I first show that, despite the tremendous influx of federal funds, the highway system showed little improvement. For example, in 2008, 26.9 percent of the nation’s bridges were classified as either structurally deficient or functionally obsolete. In 2011, this percentage was nearly unchanged at 25.4 percent. In the three years following passage of the Recovery Act, the number of workers on federal-aid highway projects changed only negligibly. Moreover, over 40 percent of the U.S. population lived in states where highway construction spending, from all sources, was lower in 2010 (post-passage) than in 2008 (pre-passage). Over the same time, many of these states increased spending on some non-transportation items. Although the act specified that the highway funds be put to specific use, it is important to recognize that state governments were already spending significant amounts of their own dollars on highways—for example, $50.1 billion in 2008. Upon receipt of new federal funds, states could potentially cut their own contributions to highway capital spending which, in turn, would free up those funds for other uses.Since states were facing budget stress from declining tax revenues resulting from the recession, it stands to reason that states had the incentive to do so. I also explain how the language of the act made it possible for many state government officials to cut states’ own spending on highways upon receipt of Recovery Act dollars. In fact, 15 states cut their total highway capital spending (i.e., from all sources) between 2008 and 2010, freeing up their own funds for other uses. Second, I estimate the grants’ effect on highway spending. That is, how much did the grants increase highway infrastructure investment relative to a no-stimulus baseline? I conduct statistical tests, which deliver results consistent with federal aid “crowding out” state spending. Specifically, I run cross-sectional, state-level regressions of per capita Recovery Act FHWA dollars on the post-enactment change in per capita highway infrastructure spending. If there is no crowding out—that is, fiscal substitution—then one would expect a one-for-one dollar increase in highway spending when a state received FHWA Recovery Act grants. I do not find a one-for-one response. Instead, I find that there is no statistically significant effect of FHWA Recovery Act grants on state highway infrastructure spending. In my benchmark specification, a point estimate indicates that each Recovery Act FHWA grant dollar increased states’ highway spending by 19 cents. This qualitative finding is robust to a large set of alternative specifications. Thus, the fiscal substitution hypothesis is able to explain why there was little impact on the nation’s highways and bridges following the passage of the Recovery Act. Stated simply, highway infrastructure spending without the act would not have been very different relative to what was actually observed in absence of the act...."
"... Table 2 contains my benchmark finding. The coefficient on Recovery Act FHWA obligations equals 0.19 (0.43 standard error; Column 1). The point estimate implies that, in per capita terms, one additional grant dollar to a state causes 19 cents of additional highway infrastructure in that state. This represents substantial crowding out of state contributions to highways. For each grant dollar, the state government cuts its own contribution to highway infrastructure by 81 centsThe log of population is an important predictor of state per capita highway spending. The coefficient is negative, so higher-population states experienced relatively less additional highway spending (per capita) in 2009 and 2010. Moreover, the coefficient is statistically different from zero at a 95 percent confidence level. While I include a population measure in the regression, in a related study, Leduc and Wilson (forthcoming) estimate a similar regression but do not include a population control. They find little evidence of crowding out, with their analogous coefficient greater than 1. The difference between my study and theirs is likely due the absence of a population control in their regression, although there are other differences across the two papers’ specifications as well…”

“…Column 2 of the table presents results when obligations are replaced with outlays. The results are qualitatively unchanged. There is no statistically significant effect of Recovery Act highway grants on the change in state highway spending; and, moreover, the coefficient on the population measure is negative and statistically different from zero. Columns 3 and 4 of the table provide identical specifications to those in the first two columns, except I weight the regression by the natural log of the population. Again, the results are qualitatively unchanged. Moreover, this estimate is not statistically different from zero. As such, I cannot reject the hypothesis of a complete crowding out of state highway spending by Recovery Act highway funds….”
".. Figure 5 represents the paper’s main finding graphically. It contains a scatter plot where each point corresponds to a state, with the Recovery Act FHWA obligations per capita (after controlling for log population) on the horizontal axis and the accumulated per capita change in highway spending on the vertical axis. Note that there is little discernable positive or negative correlation in the data. If there were no crowding out (i.e., each grant dollar was spent on highways) and no other disturbances, then the points would lie on the 45-degree line. The solid line indicates the best linear fit of the data, with the slope equal to the coefficient a. The shaded region is the 90 percent confidence interval. Since the coefficient is not statistically different from zero, this region contains a flat response of grant obligations to highway infrastructure spending..."

Bill Dupor, "So, Why Didn't the 2009 Recovery Act Improve the Nation's Highways and Bridges?," Social Science Research Network, May 20, 2021, https://papers.ssrn.com/sol3/papers.cfm







Ed Comment: So typical. At Bain, we called this pushing on a balloon. Things are more likely to move around than to increase or decrease. Unfortunately, the public sector is largely unsupervised and poorly supervised when it is. Tough/effective supervision makes sure you’re not just pushing on a balloon.