Cross-country employment differences are concentrated among women, the youth, and older individuals. In this paper, we document how worker flows between employment, unemployment, and out of the labor force vary by gender and age and contribute to aggregate employment differences across a large...

We develop an adjustment procedure to construct U.S. monthly time series of involuntary part-time employment stocks and flows from 1976 until today. Armed with these new data, we provide a comprehensive account of the dynamics of involuntary part-time work. Transitions from full-time to...

Based on a two-country model it is scrutinized how the structure of the unemployment benefit system affects the consequences of idiosyncratic labor market shocks on real wages and unemployment in other countries. International spillover effects are caused by changes in world real income. The...

We extend Nakamura et al. (2019, 2020)'s approach of using the publicly available microdata files of the Labour Force Survey (LFS) to construct worker transition rates across employment, unemployment, and inactivity. Our approach involves estimating and applying a scaling factor that has been...

Many of the recent attempts to find evidence of downward nominal wage rigidity in micro data have suffered from a number of problems, including composition bias and the effects of measurement error. In order to avoid these problems we explicitly model the determinants of wage changes and the...

Based on a model with imperfectly competitive labor and product markets the real consequences of labor market shocks for economies with either an earnings-related or flatrate unemployment compensation system are considered. A distinctive feature of the analysis is the comparison of both...

The paper contributes to the globalization debate by scrutinizing the international spillover effects which are provoked if a single country reduces the generosity of the unemployment compensation system or weakens labor union power. For this purpose a two-country model with imperfect...