Using a large-scale linked-employer-employee data set from western Germany, this paper presents new evidence on the wage premium of collective bargaining contracts. In contrast to previous studies, we seek to assess the extent to which differences in wages between workers in covered and...

Ziel dieses Beitrags ist die Quantifizierung der mit der Einführung des Arbeitslosengeldes II verbundenen Arbeitsangebots- und Beschäftigungseffekte. Zusätzlich wird ein Reformszenario simuliert, welches die Anreizstruktur im Niedriglohnbereich verbessern soll. Methodisch wird ein...

This paper studies the importance of employer-specific determinants in escaping low earnings in Germany. To address the initial conditions problem and the endogeneity of employer retention, we model (intra-firm) low-pay transitions using a multivariate Probit model that accounts for selection...

Using a large-scale linked-employer-employee data set from western Germany, this paper presents new evidence on the wage premium of collective bargaining contracts. In contrast to previous studies, we seek to assess the extent to which differences in wages between workers in covered and...

Using a large-scale linked-employer-employee data set from western Germany, this paper presents new evidence on the wage premium of collective bargaining contracts. In contrast to previous studies, we seek to assess the extent to which differences in wages between workers in covered and...

Using a linked employer-employee dataset, this paper analyses the relationship between firm profitability and wages. Particular emphasis is given to the question of whether the sensitivity of wages to firm-specific rents varies with collective bargaining coverage. To address this issue, we...

The purpose of this article is to quantify the employment effects of the recent German welfare reform. The key element of this reform was to merge the coexisting transfer systems Social Assistance (SA) and Unemployment Assistance (UA) into one unified benefit (Arbeitslosengeld II -- ALG II). We...