In light of nonstationary search theory (van den Berg, 1990), this paper estimates the effects of benefit entitlement periods and the size of unemployment benefits on unemployment durations and post-unemployment earnings in West Germany. For the unemployment duration, we estimate censored...

Long-term public sector sponsored training programs often show little or negative short-run employment effects and often it is not possible to assess whether positive long-run effects exist. Based on unique administrative data, this paper estimates the long-run differential employment effects of...

This paper provides new estimates of a timevarying NAIRU for Germany taking account of the structural break caused by German unification based on the Kalman Filter and on a partially linear model as two alternatives. Estimating a standard Phillips curve, the sum of coefficients associated with...

Based on unique administrative data, which has only recently become available, this paper estimates the employment effects of the most important type of public sector sponsored training in Germany, namely the provision of specific professional skills and techniques (SPST). Using the inflows into...

Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the functional relationship and of the error...

In light of nonstationary search theory (van den Berg, 1990), this paper estimates the effects of benefit entitlement periods and the size of unemployment benefits on unemployment durations and post{unemployment earnings in West Germany. For the unemployment duration, we estimate censored...

Public sector sponsored training was implemented at a large scale during the transition process in East Germany. Based on new administrative data, we estimate the differential effects of three different programs for East Germany during the transition process. We apply a dynamic multiple...