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Incentives and Careers in Academia: Theory and Empirical Analysis

The Review of Economics and Statistics 2021 open access
Abstract We study career concerns in italian academia. We mold our empirical analysis on the standard model of contests, formalized in the multiunit all-pay auction. The number of posts, the number of applicants, and the relative importance of the criteria for promotion determine academics' effort and output. In Italian universities, incentives operate only through promotion, and all appointment panels are drawn from strictly separated and relatively narrow scientific sectors. Thus, the parameters affecting payoffs can be measured quite precisely, and we take the model to a newly constructed data set that collects the journal publications of all Italian university professors. Our identification strategy is based on a reform introduced in 1999, parts of which affected different academics differently. We find that individual researchers respond to incentives in the manner described by the theoretical model: roughly, more capable researchers respond to increases in the importance of the publications for promotion and in the competitiveness of the scientific sector by exerting more effort; less able researchers are discouraged by competition and do the opposite.

The Welfare Consequences of Centralization: Evidence from a Quasi-Natural Experiment in Switzerland

The Review of Economics and Statistics 2021 open access
Abstract Many countries are reallocating tasks and powers to more central levels of government. To identify centralization's welfare effects, I use a difference-in-differences design that relies on time and cross-cantonal variation in the implementation of centralization reforms in Switzerland. I find that centralization provokes significant decreases in residents' life satisfaction. I identify one mechanism driving the effect: the procedural disutility that individuals experience from having less influence over the formulation of political decisions. This effect is largest among individuals with higher expected benefits from being involved in the political decision process, with detrimental effects on local political participation.

Do People Avoid Morally Relevant Information? Evidence from the Refugee Crisis

The Review of Economics and Statistics 2021 open access
Abstract Combining click data from a swedish newspaper and administrative data on asylum seekers in sweden, i examine whether a larger presence of refugees in a municipality induces people to avoid news that may encourage welcoming the newcomers. Exploiting the unexpected inflow of refugees to Sweden during 2015 and their exogenous allocation across Swedish municipalities, I find that people living in municipalities where the relative number of refugees is larger read fewer articles about asylum seekers. The decrease in clicks is 36% larger for more empathic articles and is correlated with less engagement in activities aimed at welcoming refugees.

Can Government Intervention Make Firms More Investment Ready? A Randomized Experiment in the Western Balkans

The Review of Economics and Statistics 2021 103(3), 428-442 open access
Abstract Innovative firms with good ideas may still struggle to fine-tune them to the stage where they can attract outside funding. We conduct a five-country randomized experiment that tests the impact of an investment readiness program. Firms then pitched their ideas to independent judges. The program resulted in a 0.3 standard deviation increase in the investment readiness score. Two years later, the average impacts on firm investment outcomes are positive but small in magnitude and not statistically significant. Larger and statistically significant impacts on receiving outside funding occur for smaller firms and for firms with lower likelihoods of otherwise being funded.

Choice Architecture to Improve Financial Decision Making

The Review of Economics and Statistics 2021 103(1), 102-118 open access
We exploit the principles of choice architecture to evaluate interventions in the market for reloadable prepaid cards. Participants are randomized into three card menu presentation treatments—the market status quo, a regulation-inspired reform, or an enhanced reform designed to minimize attribute overload—and offered choices based on prior structural estimation of individual preferences. Consumers routinely choose incorrectly under the status quo, with tentative evidence that the regulation-inspired presentation may increase best card choice and clear evidence that the enhanced reform reduces worst card choice. Welfare analysis suggests the regulation-inspired presentation offers modest gains, while the enhanced policy generates substantial benefits.

Coronavirus Perceptions and Economic Anxiety

The Review of Economics and Statistics 2021 103(5), 968-978 open access
Abstract We provide one of the first systematic assessments of the development and determinants of economic anxiety at the onset of the coronavirus pandemic. Using a global data set on internet searches and two representative surveys from the United States, we document a substantial increase in economic anxiety during and after the arrival of the coronavirus. We also document a large dispersion in beliefs about the pandemic risk factors of the coronavirus and demonstrate that these beliefs causally affect individuals' economic anxieties. Finally, we show that individuals' mental models of infectious disease spread understate nonlinear growth and shape the extent of economic anxiety.

The Race Between Deterrence and Displacement: Theory and Evidence from Bank Robberies

The Review of Economics and Statistics 2021 103(3), 547-562 open access
Abstract Security measures that deter crime may unwittingly displace it to neighboring areas, but evidence of displacement is scarce. We exploit precise information on the timing and locations of all Italian bank robberies and security guard hirings over a decade to estimate deterrence and displacement effects of guards. A guard lowers the likelihood a bank is robbed by 35% to 40%. Over half of this reduction is displaced to nearby unguarded banks. Theory suggests optimal policy to mitigate this spillover is ambiguous. Our findings indicate restricting guards in sparse, rural markets and requiring guards in dense, urban markets could be socially beneficial.

The Value of Reputation in Trade: Evidence from Alibaba

The Review of Economics and Statistics 2021 103(5), 857-873 open access
Abstract We examine the role of an online reputation mechanism in international trade by exploring T-shirt exports on Alibaba. Exploiting rich transaction data and features of search and rating algorithms, we show that exporters displaying a superior reputation perform significantly better than peers with nearly identical true ratings and observables, and the value of reputation rises with the level of information friction and the specificity of information. We develop a dynamic reputation model with heterogeneous cross-country information friction to quantify the effect of the reputation mechanism and find a 20% increase in aggregate exports fueled by a market reallocation towards superstars.

Relationship Lending and the Great Depression

The Review of Economics and Statistics 2021 103(3), 505-520 open access
Abstract The collapse of long-term lending relationships amplified the Great Depression. We demonstrate this by developing a new measure of lending relationships that can be calculated from widely available data at any level of aggregation. Our approach exploits differences in the responsiveness of loan rates to bank funding costs and is supported by historical evidence and theoretical arguments. The new measure reveals that the marginal impact of bank suspensions on economic activity was higher in more relationship-intensive areas, providing the first formal evidence that relationship lending propagated the real effects of banking sector distress in the early 1930s.

Does Knowing Your FICO Score Change Financial Behavior? Evidence from a Field Experiment with Student Loan Borrowers

The Review of Economics and Statistics 2021 103(2), 236-250 open access
Abstract One in five consumer credit accounts incurs late fees each quarter. Evidence on the efficacy of regulations to improve behavior through enhanced disclosure of financial product attributes is mixed. We test a novel form of disclosure that provides borrowers with a personalized measure of their creditworthiness. In a field experiment with over 400,000 student loan borrowers, treatment group members received communications about the availability of their FICO Score. The intervention significantly reduced late payments and increased borrowers' FICO Scores. Survey data show treatment group members were less likely to overestimate their FICO Scores, suggesting the intervention may correct for overoptimism.