This paper deals with empirical matching functions. The paper is innovative in several ways. First, unlike in most of the existing literature, matching functions are estimated not only on aggregate, but also on disaggregate levels which is unusual due to the scarcity of appropriate data....

In this article, I study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. There is considerable observed state dependence, with an average persistence rate in benefits of 68% comparing to an...

In this article, we study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. We show that there is considerable observed state dependence, with an average persistence rate in benefits of 68%...

In this article, I study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. There is considerable observed state dependence, with an average persistence rate in benefits of 68% comparing to an...

In this article, we study state dependence in social assistance receipt in Germany using annual survey data from the German Socio-Economic Panel (SOEP) for the years 1995-2011. We show that there is considerable observed state dependence, with an average persistence rate in benefits of 68%...

Dynamic discrete-choice models are an important tool in studies of state dependence in benefit receipt. A common assumption of such models is that benefit receipt sequences follow a conditional Markov process. This property has implications for how estimated period-to-period benefit transition...

While the gig economy has been growing rapidly, evidence on its implications for the labor force remains sparse. This paper shows that gig work can buffer income losses arising from unemployment shocks. Matching a large sample of administrative employment data with information on platform entry,...

We use a novel approach to studying the heterogeneity in the job finding rates of the nonemployed by classifying the nonemployed by labor force status (LFS) histories, instead of using only one-month LFS. Job finding rates differ substantially across LFS histories: they are 25-30% among those...

We use a novel approach to studying the heterogeneity in the job finding rates of the nonemployed by classifying the nonemployed by labor force status (LFS) histories, instead of using only one-month LFS. Job finding rates differ substantially across LFS histories: they are 25-30% among those...

This paper proposes a spatial panel model for German matching functions to avoid possibly biased and inefficient estimates due to spatial dependence. We provide empirical evidence for the presence of spatial dependencies in matching data. Based on an official data set containing monthly...