This paper shows that the matching function and the Beveridge curve in the United States exhibit strong nonlinearities over the business cycle. These patterns can be replicated by enhancing a search and matching model with idiosyncratic productivity shocks for new contacts. Large negative...

This paper analyzes wage decomposition methodology in the context of panel data sample selection embedded in a correlated random effects setting. Identification issues unique to panel data are examined for their implications for wage decompositions. As an empirical example, we apply our...

In addition to discrimination, market power, and human capital, gender differences in risk preferences might also contribute to observed gender wage gaps. We conduct laboratory experiments in which subjects choose between a risky (in terms of exposure to unemployment) and a secure job after...

Probit and logit models typically require a normalization on the error variance for model identification. This paper shows that in the context of sample mean probability decompositions, error variance normalizations preclude estimation of the effects of group differences in the latent variable...

Using the new AWFP dataset that covers all German establishments, we document a substantial cross-sectional heterogeneity of establishments' average real wages over the business cycle. While the median establishments' real wages are procyclical, there is a large fraction of establishments with...

This paper shows that the German labor market is more volatile than the US labor market. Specifically, the volatility of the cyclical component of several labor market variables (e.g., the job-finding rate, labor market tightness, and job vacancies) divided by the volatility of labor...