Principal-agent models take outside options, determining participation and incentive constraints, as given. We construct a general equilibrium model where workers' reservation wages and the maximum punishment acceptable before workers quit are instead determined endogenously. We simultaneously...

We introduce dynamic incentive contracts into a model of unemployment dynamics and present three results. First, wage cyclicality from incentives does not dampen unemployment dynamics: the response of unemployment to shocks is first-order equivalent in an economy with flexible incentive pay and...

We document the sources behind the costs of job loss over the business cycle using administrative data from Germany. Losses in annual earnings after displacement are large, persistent, and highly cyclical, nearly doubling in size during downturns. A large part of the long-term earnings losses...

We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage stickiness on the layoff margin. Most UI recipients express a willingness to accept wage cuts of 5-10 percent to save their jobs, and one third would accept a 25 percent cut....

Licensed workers could be shielded from unemployment during recession since occupational licensing laws are asymmetric--making unlicensed workers an illegal substitute for licensed workers but not the reverse. We test our hypothesis using a difference-in-differences event study research design...

We use a panel of survey responses linked to administrative data in Germany to measure the depreciation of skills while workers are unemployed. Both the reemployment hazard rate and reemployment earnings steadily fall with unemployment duration, and indicators of depression and loneliness rise...

This paper uses a college-by-graduate degree fixed effects estimator to evaluate the returns to 19 different graduate degrees for men and women. We find substantial variation across degrees, and evidence that OLS overestimates the returns to degrees with high average earnings and underestimates...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

This paper aims to identify the sources of human capital growth for the observation period 1990-2020 by region, gender and various determinants. It is a preliminary version of a forthcoming Inclusive Wealth Report 2023 (UNESCO and Urban Institute of Kyushu University) report. It focuses on five...