In this paper we investigate two stages in the process that leads to participation in ALMP programs. We use unique administrative data from the Austrian unemployment registers which allow us to distinguish between caseworker assignment and actual program enrollment. Although 25% of newly...

In Germany, the streaming of students into an academic or nonacademic track at age 10 can be revised at later stages of secondary education. To investigate the importance of such revisions, we use administrative data on the student population in the German state of Hessen to measure the...

"In this paper, we review the literature on the "spike" in unemployment exit rates around benefit exhaustion, and present new evidence based on administrative data for a large sample of job losers in Austria. We find that the way unemployment spells are measured has a large effect on the...

Contrary to standard search model predictions, prior studies failed to estimate a positive effect of unemployment insurance (UI) on reemployment wages. This paper estimates a positive UI wage effect exploiting an age-based regression discontinuity in Austrian administrative data. A search model...

Social networks are an important channel of information transmission in the labor market. This paper studies the mechanisms by which social networks have an impact on labor market outcomes of displaced workers. We base our analysis on administrative records for the universe of private sector...

We present quasi-experimental evidence on the effects of increasing the Early Retirement Age (ERA) on older workers' retirement decisions. The analysis is based on social security reforms in Austria in 2000 and 2004, and administrative data allows us to distinguish between pension claims and job...

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. This design arises in many institutional settings where a policy variable (such as weekly...

Using Bayesian Markov chain clustering analysis we investigate career paths of Austrian women after their first birth. This data-driven method allows characterizing long-term career paths of mothers over up to 19 years by transitions between parental leave, non-employment and different forms of...

Job seekers can influence the arrival rate of job offers by the choice of search effort and the search methods they use. In this paper we empirically investigate the contribution of the use of different search methods on the outcome of search. We use unique data on the search behavior of job...