Research Database

We build a dataset of harmonized rotating panel labor force surveys covering 42 countries across a wide range of development and document three new empirical findings on labor market dynamics. First, labor market flows (job-finding rates, employment-exit rates, and job-to-job transition rates) are two to three times higher in the poorest as compared with the richest countries. Second, employment hazards in poorer countries decline more sharply with tenure; much of their high turnover can be attributed to high separation rates among workers with low tenure. Third, wage-tenure profiles are much steeper in poorer countries, despite the fact that wage-experience profiles are flatter. We show that these facts are consistent with theories with endogenous separation, particularly job ladder and learning models. We disaggregate our results and investigate possible driving forces that may explain why separation operates differently in rich and poor countries.

What is the role of credit scores in credit markets? We argue that it is a stand in for a market assessment of a person's unobservable type (which here we take to be patience). We pose a model of persistent hidden types where observable actions shape the public assessment of a person's type via Bayesian updating. We show how dynamic reputation can incentivize repayment without monetary costs of default beyond the administrative cost of filing for bankruptcy. Importantly we show how an economy with credit scores implements the same equilibrium allocation. We estimate the model using both credit market data and the evolution of individual’s credit scores. We find a 3% difference in patience in almost equally sized groups in the population with significant turnover and a shift towards becoming more patient with age. If tracking of individual credit actions is outlawed, the benefits of bankruptcy forgiveness are outweighed by the higher interest rates associated with lower incentives to repay.

We show that, in a general family of linearized structural macroeconomic models, knowledge of the empirically estimable causal effects of contemporaneous and news shocks to the prevailing policy rule is sufficient to construct counterfactuals under alternative policy rules. If the researcher is willing to postulate a loss function, our results furthermore allow her to recover an optimal policy rule for that loss. Under our assumptions, the derived counterfactuals and optimal policies are robust to the Lucas critique. We then discuss strategies for applying these insights when only a limited amount of empirical causal evidence on policy shock transmission is available.

What is the optimal fiscal policy response to a recession when the government is subject to sovereign risk? We study this question in a model of endogenous sovereign default with nominal rigidities. Increasing spending in a recession reduces unemployment, but exposes the government to a debt crisis. We quantitatively analyze this trade-off between stimulus and austerity and find that expanding government spending may be undesirable even in the presence of sizeable Keynesian stabilization gains and inequality concerns. Consistent with these findings, we show that sovereign risk is a key driver of the observed fiscal procyclicality in the data.

We measure the contribution of firm-embedded productivity to cross-country income differences. By firm-embedded productivity we refer to the components of productivity that differ across firms and that can be transferred internationally, such as blueprints, management practices, and intangible capital. Our approach relies on microlevel data on the cross-border operations of multinational enterprises (MNEs). We compare the market shares of the exact same MNE in different countries and document that they are about four times larger in developing than in high-income countries. This finding indicates that MNEs face less competition in less-developed countries, suggesting that firm-embedded productivity in those countries is scarce. We propose and implement a new measure of firm-embedded productivity based on this observation. We find a strong positive correlation between our measure and output per-worker across countries. In our sample, differences in firm-embedded productivity account for roughly a third of the cross-country variance in output per-worker.

The CDC reports that 1.13 million Americans have died of COVID-19 through June of 2023. I use a model of the impact over the past three years of vaccines and private and public behavior to mitigate disease transmission during the COVID-19 pandemic in the United States to address two questions. First, holding the strength of the response of behavior to the level of daily deaths from COVID-19 fixed, what was the impact of vaccines on cumulative mortality from COVID-19 up through June 2023? And second, holding the pace of deployment of vaccinations fixed, what would have been the impact of stricter or looser behavioral responses to COVID-19 deaths on cumulative mortality from COVID-19 over this same time period? In answering the first question, I find that vaccines saved 748,600 lives through June 2023. That is, without vaccines, cumulative mortality from COVID-19 would have been closer to 1.91 million over this time period. In answering the second question, I find that behavioral efforts to slow the transmission of the virus before vaccines became widely administered were critical to this positive impact of vaccines on cumulative mortality. For example, with a complete relaxation of these mitigation efforts, vaccines would have come too late to have saved a significant number of lives. Earlier deployment of vaccines would have saved many lives. I find that marginal changes in the strength of the behavioral response to COVID-19 deaths within the range of those responses estimated with the model have a significantly smaller impact on cumulative COVID-19 mortality over this time period.

This paper seeks to understand the forces that maintain racial segregation and the implications for the Black-White gap in college attainment. We incorporate race into an overlapping-generations spatial-equilibrium model with neighborhood spillovers. The model incorporates race in three ways: (i) a Black-White wage gap, (ii) an amenity externality—households care about the racial composition of their neighbors—and (iii) an additional barrier to moving for Black households. These forces quantitatively account for all of the racial segregation and 80% of the Black-White gap in college attainment in the data for the St. Louis metro area. Counterfactual exercises show that all three forces are quantitatively important. The presence of spillovers and externalities generates multiple equilibria. Although St. Louis is in the segregated equilibrium, there also exists an integrated equilibrium with a lower college gap, and we analyze a transition path between the two.

We present new evidence on the labor market effects of large minimum wage increases by examining the policy changes implemented by Minneapolis and Saint Paul. Beginning with synthetic difference-in- differences methods, we find that the increase in the minimum wage decreased substantially restaurant and retail employment, even after accounting for potential confounding effects from the pandemic and civil unrest. Next, using variation in exposure to the minimum wage across establishments and workers within zip codes and industries of the Twin Cities, we find employment effects that are about half as large as those from the time series. The cross-sectional estimates difference out contemporaneous city-industry effects across establishments and workers, but they do not include equilibrium effects induced by the minimum wage such as changes in entry. We quantify a model of establishment dynamics to reconcile the different estimates and argue that they plausibly reflect lower and upper bounds of employment losses. We use the model to show that our estimates are consistent with an establishment elasticity of labor demand of -1 and illustrate how they can inform deeper parameters characterizing product and labor market competition, factor substitution, and establishment dynamics.

Epidemics can negatively affect economic development unless they are mitigated by global governance institutions. We examine the effects of sudden exposure to epidemics on human capital outcomes using evidence from the African meningitis belt. Meningitis shocks reduce child health outcomes, particularly when the World Health Organization (WHO) does not declare an epidemic year. These effects are reversed when the WHO declares an epidemic year. Children born in meningitis shock areas in a year when an epidemic is declared are 10 percentage points (pp) less stunted and 8.2 pp less underweight than their peers born in non-epidemic years. We find evidence for the crowd-out of routine vaccination during epidemic years. We analyze data from World Bank projects and find evidence that an influx of health aid in response to WHO declarations may partly explain these reversals.

The U.S. net foreign asset position has declined sharply since 2007 and is currently negative 65 percent of U.S. GDP. This deterioration primarily reflects a U.S.-specific rise in corporate asset values that has inflated the value of U.S. equity liabilities to the rest of the world. To interpret these trends we develop an international macro finance model of flows, stocks, asset valuations, the current account, and the net foreign asset position. We find that the welfare impact of rising asset values for a representative U.S. household has been quite negative given extensive foreign ownership of U.S. corporate equity.