Relatively little attention has been paid to the role that externalities play in determining the pecuniary returns to migration. This paper addresses this gap, using microeconomic data for more than 100,000 individuals living in the European Union (EU) for the period 1994-2001 in order to...

The study contributes to the development of "standards" for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary to most former studies, the simulation is...

Estimation procedures for ordered categories usually assume that the estimated coefficients of independent variables do not vary between the categories (parallel-lines assumption). This view neglects possible heterogeneous effects of some explaining factors. This paper describes the use of an...

This paper presents a meta-analysis of recent microeconometric evaluations of active labor market policies. Our sample contains 199 separate "program estimates" - estimates of the impact of a particular program on a specific subgroup of participants - drawn from 97 studies conducted between 1995...

We show how the dynamic logit model for binary panel data may be approximated by a quadratic exponential model. Under the approximating model, simple sufficient statistics exist for the subject-specific parameters introduced to capture the unobserved heterogeneity between subjects. The latter...

Matching estimators are widely used for the evaluation of programs or treatments. Often researchers use bootstrapping methods for inference. However, no formal justification for the use of the bootstrap has been provided. Here we show that the bootstrap is in general not valid, even in the...

Previous theoretical analyses of the capital gains tax have suggested that investors have considerable opportunity to avoid the tax. Yet, past empirical work has found relatively little evidence of such activity. Using a previously unavailable panel data set with a very large sample of...