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 introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with...

An innovation which bypasses the need for instruments when estimating endogenous treatment effects is identification via conditional second moments. The most general of these approaches is Klein and Vella (2010) which models the conditional variances semiparametrically. While this is attractive,...

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...

We employ CPS data to analyze the sources of hourly real wage changes in the United States for 1976 to 2016 at various quantiles of the wage distribution. We account for the selection bias from the annual hours of work decision by developing and implementing an estimator for nonseparable...

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...