We empirically analyze the optimal mix and optimal generosity of unemployment insurance and social assistance programs. To do so, we specify a structural life-cycle model of the labor supply, savings, and social assistance claiming decisions of singles and married couples. Partial insurance...

We analyze empirically the optimal design of social insurance and assistance programs when families obtain insurance by making labor supply choices for both spouses. For this purpose, we specify a structural life-cycle model of the labor supply and savings decisions of singles and married...

We empirically analyze the heterogeneous welfare effects of unemployment insurance and social assistance. We estimate a structural life-cycle model of singles' and married couples' labor supply and savings decisions. The model includes heterogeneity by age, education, wealth, sex and household...

We empirically analyze the heterogeneous welfare effects of unemployment insurance and social assistance. We estimate a structural life-cycle model of singles' and married couples' labor supply and savings decisions. The model includes heterogeneity by age, education, wealth, sex and household...

We estimate Frisch labour supply functions for married women using information on desired hours, under the assumptions that these are based on a smooth convex approximation of the budget constraint. The minimum distance approach used allows for correlated random effects both in the wage and in...

We evaluate the labor market and distributional effects of an increase in the early retirement age (ERA) from 60 to 63 for women. We use a regression discontinuity design which exploits the immediate increase in the ERA between women born in 1951 and 1952. The analysis is based on the German...

Wage growth occurs almost exclusively in full-time work, whereas it is close to zero in part-time work. German women, when asked to predict their own potential wage outcomes, show severely biased expectations with strong over-optimism about the returns to part-time experience. We estimate a...