This paper analyzes the impact of a leading entrepreneurship education program on college students’ entrepreneurship competencies and intentions using an instrumental variables approach in a difference-in-differences framework. We exploit that the program was offered to students at one...

This paper addresses the question to what extent the performance of industrial sites is affected by their local economic structure and accessibility. For this aim, we test for the existence of statistically significant relationships between agglomeration externalities (specialization, diversity,...

Impact evaluations of development programmes usually focus on a comparison of participants with a control group. However, if the programme generates externalities for non-participants such an approach will capture only part of the programme’s impact. Based on a unique large-scale quantitative...

This paper studies the event-history approach to microeconometric program

This paper estimates the impact of the murder of film maker Theo van

This paper examines the empirical analysis of treatment effects on duration outcomes from data that contain instrumental variation. We focus on social experiments in which an intention to treat is randomized and compliance may be imperfect. We distinguish between cases where the treatment starts...

In this paper, we use a recent policy change in the Netherlands to study how changes in search requirements for the older unemployed affect their transition rates to employment, early retirement and sickness/disability benefits. The reform, becoming effective on January 1st 2004, required the...

The linear Gaussian state space model for which the common variance is treated as a stochastic time-varying variable is considered for the modelling of economic time series. The focus of this paper is on the simultaneous estimation of parameters related to the stochastic processes of the mean...

We combine micro and macro unemployment duration data to study the effects of the business cycle on the outflow from unemployment. We allow the cycle to affect individual exit probabilities of unemployed workers as well as the composition of the total inflow into unemployment. We estimate the...

We propose a new class of observation driven time series models referred to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled score of the likelihood function. This approach provides a unified and consistent framework for introducing...