Abstract
Simple functional forms for utility require restrictive structural assumptions that are often contrary to observed behavior. Even so, they are widely used in applied economic research. I address this issue using a two-part adaptive experimental design to compare the predictions of a popular parametric model of decision making under risk to those of non-parametric bounds on indifference curves. Interpreting the latter as an approximate upper bound, I find the parametric model sacrifices very little in terms of predictive success. This suggests that, despite their restrictiveness, simple functional forms may nevertheless be useful representations of preferences over risky alternatives. The Effect of Information on Market Activity: Evidence from Vehicle Recalls
Abstract
We evaluate the effect of vehicle recalls on vehicle transactions in the second-hand market. Using a rich data set of Dutch vehicle registrations, we exploit the quasiexperimental variation in recalls across nearly identical cars. We find strong heterogeneities across market segments: transactions increased for cars with lower listed price or with defects, and decreased for those with higher price or no defects. Based on our theoretical model, this suggests that recalls increase sorting in low-end markets, yet exacerbate adverse selection in high-end markets. Our results shed light on the effect of information arrival in markets subject to uncertainty and information asymmetries. Judging under Public Pressure
Abstract
We study the circumstances under which public pressure affects judging. We show that crowd pressure biases decisions in favor of the crowd for “subjective decisions” with respect to which the judge has more discretion but not for “objective decisions.” The bias is strengthened after a judge's error against the crowd and when errors are costlier to the crowd. We use data about referees' decisions and errors from the Bundesliga. We exploit three regimes where, due to the introduction of Video Assistance Refereeing (VAR) and COVID-19, both crowd pressure and the likelihood of errors vary. Strategic or Confused Firms? Evidence from “Missing” Transactions in Uganda
Abstract
Are firms sophisticated maximizers, or do they appear to make mistakes? Using transaction data from Ugandan value-added tax returns, we show that sellers and buyers report different amounts 79% of the time, despite invoices being easily cross-checked. Our estimates suggest that most firms are “advantageous misreporters,” but that 25% are “disadvantageous misreporters” who systematically overreport own sales minus purchases such that their tax liability increases. Similarly, many firms—especially disadvantageous misreporters—fail to VAT-report imported inputs they themselves reported at Customs, increasing their liability. On net, unilateral VAT misreporting cost Uganda about US$384 million in foregone 2013–2016 tax revenue. Cohesive Institutions and Political Violence
Abstract
Can revenue sharing of resource rents be a source of distributive conflict? Can cohesive institutions avoid such conflicts? We exploit exogenous variation in local government revenues and new data on local democratic institutions in Nigeria to study these questions. We find a strong link between rents and conflict. Conflicts are highly organized and concentrated in districts and time periods with unelected local governments. Once local governments are elected these relationships are much weaker. We argue that elections produce more cohesive institutions that help limit distributional conflict between groups. Throughout, we confirm these findings using individual level survey data. School Closures during the 1918 Flu Pandemic
Abstract
During the 1918–1919 influenza pandemic, many local authorities made the controversial decision to close schools. We use newly digitized data from newspaper archives on the length of school closures for 165 large U.S. cities during the 1918–1919 flu pandemic to assess the long-run consequences of closing schools on children. We find that the closures had no detectable impact on children's school attendance in 1920, nor on their educational attainment and adult labor market outcomes in 1940. We highlight important differences between the 1918–1919 and COVID-19 pandemics and caution against extrapolating from our null effects to modern-day settings. Intertemporal Income Shifting and the Taxation of Business Owner-Managers
Abstract
We use newly linked tax records to show that the large responses of UK company owner-managers to personal taxes are due to intertemporal income shifting and not to reductions in real business activity. Around half of this shifting is short-term and helps prevent volatile incomes being taxed more heavily under progressive personal taxes. The remainder reflects systemic profit retention over long periods to take advantage of lower tax rates, including preferential treatment of capital gains. We find no evidence that this tax-induced retention increases business investment. It does, however, substantially reduce the tax revenue raised from high income business owners. Gentrification and Pioneer Businesses
Abstract
Little is known about where hotspots of gentrification emerge within a city and the role that some types of businesses play in the process. We develop a method to detect the sectors whose presence heralds the process of gentrification in a neighborhood. We show that these sectors, mostly found in cultural and creative industries, help to anticipate neighborhood change and that their predictive power complements that of traditional gentrification determinants. We also examine mechanisms related to amenities, worker characteristics, and signaling that are consistent with these results. The analysis illustrates the importance of businesses in the sociodemographic dynamics of neighborhoods. Medical Worker Migration and Origin-Country Human Capital: Evidence from U.S. Visa Policy
Abstract
We exploit changes in U.S. visa policies for nurses to measure the origin-country human capital response to international migration opportunities. Combining data on all migrant departures and postsecondary institutions in the Philippines, we show that nursing enrollment and graduation increased substantially in response to greater U.S. demand for nurses. The supply of nursing programs expanded. Nurse quality, measured by licensure exam pass rates, declined. Despite this, for each nurse migrant, nine additional nurses were licensed. New nurses switched from other degree types but graduated at higher rates than they would have otherwise, increasing the human capital stock in the Philippines. How to Attract Physicians to Underserved Areas? Policy Recommendations from a Structural Model
Abstract
This paper exploits location choices of all generalist physicians who graduated in Brazil between 2001 and 2013 to study policies aimed at increasing the supply of physicians in underserved areas. We set up and estimate a supply and demand model for physicians. We estimate physicians' locational preferences using a random coefficients discrete choice model. The demand has private establishments competing for physicians with private and public facilities around the country. Policy counterfactuals indicate that quotas in medical schools for students born in underserved areas and the opening of vacancies in medical schools in deprived areas are more cost-effective than financial incentives.