We propose a framework for comparing the relationship between poverty and personal characteristics across countries (or across years), and use it to compare levels and patterns of relative poverty in the USA, Great Britain and Germany during the 1990s. The higher aggregate poverty rates in the...

Applying a method suggested by Woodruff (1971), we derive the sampling variances of Generalized Entropy and Atkinson inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the calculations for the i.i.d. case when compared to previous...

We use income satisfaction data in order to estimate equivalence scales. Our method differs from previous attempts to use satisfaction data for this purpose in that it can be used to estimate or evaluate any given parametric equivalence scale. It can also be employed to investigate specific...

We compare information on the length of unemployment spells contained in the IAB employment subsample (IABS) and in the German Socio-Economic Panel (GSOEP). Due to the lack of information on registered unemployment in the IABS, we use two proxies of unemployment in the IABS as introduced by...

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...

We present evidence for a highly significant interaction between state dependence in individual unemployment risk and the business cycle. The disadvantage from having been unemployed in the previous period is smaller in times of relatively high unemployment and larger in times of low...

As the first, substantive contribution, this paper revisits the effectiveness of two widely used public sponsored training programs, the first one focusing on intensive occupational training and the second one on short-term activation and job entry. We use an exceptionally rich administrative...