In this paper the motivation and various concepts of statistical systems for assisting case workers in assigning unemployed persons to active labour market programmes (ALMP) are examined and the particular implementation of such a statistical system in Switzerland, which was introduced in the...

In this study the effects of various types of rehabilitation programmes on different labour market and health related outcomes are estimated. The main feature of this study, compared to previous research, is that it jointly evaluates multiple treatments by nonparametric matching estimators. The...

In this evaluation study the causal effects of different rehabilitation programmes on labour market outcomes are estimated simultaneously. A nonparametric matching estimator for the evaluation of multiple treatments is employed. The study is based on a sample of 6287 long-term sick individuals...

Propensity score matching is frequently used for estimating average treatment effects. Its applicability, however, is not confined to treatment evaluation. In this paper, it is shown that propensity score matching does not hinge on a selection on observables assumption and can be used to...

This article develops estimators for unconditional quantile treatment effects when the treatment selection is endogenous. We use an instrumental variable (IV) to solve for the endogeneity of the binary treatment variable. Identification is based on a monotonicity assumption in the treatment...

This study analyses whether the Swedish school choice reform, enacted in 1992, had different effects on students from different socio-economic backgrounds. We use detailed geographical data on students’ and schools’ locations to construct measures of the degree of potential choice. This...

Child labor is a common consequence of economic shocks in developing countries. We show how reducing vulnerability can affect child labor and schooling. We exploit the extension of a health and accident insurance scheme by a Pakistani microfinance institution (MFI) that was set up as a...

This paper investigates the finite sample performance of a comprehensive set of semi- and nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estimation,...

This paper investigates the finite sample performance of a comprehensive set of semi- and nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estimation,...