This paper evaluates two Swedish active labour market programmes for youth, namely youth practice and labour market training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results from standard...

This paper evaluates two Swedish active labour market programmes for youth, namely youth practice and labour market training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results from standard...

This paper evaluates two Swedish active labour market programmes for youth, namely youth practice and labour market training. A non-parametric matching approach is applied to estimate the average program effects. Moreover, the results obtained by matching are compared to results from standard...

In observational studies the overall aim when fitting a model for the propensity score is to reduce bias for an estimator of the causal effect. For this purpose guidelines for covariate selection for propensity score models have been proposed in the causal inference literature. To make the...

In observational studies, the estimation of a treatment effect on an outcome of interest is often done by controlling on a set of pre-treatment characteristics (covariates). This yields an unbiased estimator of the treatment effect when the assumption of unconfoundedness holds, that is, there...

This paper implements a method to identify and estimate treatment effects in a dynamic setting where treatments may occur at any point in time. By relating the standard matching approach to the timing-of-events approach, it demonstrates that effects of the treatment on the treated at a given...

We consider a non-parametric model for estimating the effect of a binary treatment on an outcome variable while adjusting for an observed covariate. A naive procedure consists in performing two separate non-parametric regression of the response on the covariate: one with the treated individuals...