In the Netherlands, students who want to become a medical specialist have toenrol in a training program which is in limited supply. During the search for aposition as trainee (or junior medical specialist), they may accept atemporary job as a medical assistant. We use a micro data set to...

Workers who lose their jobs can become re-employed either by being recalled to their previous employers or by finding new jobs. Workers' chances for recall should influence their job search strategies, so the rates of exit from unemployment by these two routes should be directly related. We...

This paper studies the impact of unemployment benefits on unemployment duration for East Germany using data from the German Socio-Economic Panel. It concentrates on exit from unemployment into employment. Estimation results of a discrete-time hazard rate model imply that moderate cuts in the...

Social surveys are often used to estimate unemployment duration distributions. Survey nonresponse may then cause a bias. We study this using a unique dataset that combines survey information of individual workers with administrative records of the same workers. The latter provide information on...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure.We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...

This paper proposes a discrete-time hazard regression approach based on the interrelation between hazard rate models and excess over threshold models, which are frequently encountered in extreme value modelling. The proposed duration model incorporates a grouped-duration analogue of the...

A competing risks model is a model for multiple durations that start at the same point of time for a given subject, where the subject is observed until the first duration is completed and one also observes which of the durations is completed first. This article gives an overview of the main...

In the Netherlands, students who want to become a medical specialist have toenrol in a training program which is in limited supply. During the search for aposition as trainee (or "junior medical specialist"), they may accept atemporary job as a medical assistant. We use a micro data set to...

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic...