We use a new and exceptionally rich administrative data set for Germany to evaluate the employment effects of a variety of public sponsored training programs in the early 2000s. Building on the work of Sianesi (2003, 2004), we employ propensity score matching methods in a dynamic, multiple...

After an economically tough start into the new millennium, Germany experienced an unprecedented employment boom after 2005 only stopped by the COVID-19 pandemic. Persistently high levels of inequality despite a booming labour market and drastically falling unemployment rates constituted a...

Using data from the German Structure of Earnings Survey (GSES), this paper studies the role of changes in working hours for the increase in male and female earnings inequality between 2001 and 2010. We provide both classic decompositions of the variance of log earnings into the variances of...

This paper provides a comprehensive assessment of the quantitative importance of the factors associated with the rise in male wage inequality in Germany over the period 1995-2010. In contrast to most previous contributions, we rely on the German Structure of Earnings Surveys (GSES) which allow...

We analyze the potential influence of a number of factors on the distribution of equivalized net incomes in Germany over the period 2005/2006 to 2010/11. While income inequality considerably increased in the years before 2005/2006, this trend was stopped after 2005/2006. Among many other...

We examine the causes for rising income inequality in Europe’s most populous economy. From 2000 to 2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels and there was evidence for a widening...

This study revisits the increase in wage inequality in Germany. Accounting for changes in various sets of observables, composition changes explain a large part of the increase in wage inequality among full-time workers. The composition effects are larger for females than for males, and...