This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic casual effects. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal analysis that have been frequently applied in the evaluation...

We investigate the effects of the most important East German active labour market programmes on the labour market outcomes of their participants. The analysis is based on a large and informative individual database coming from administrative data sources. Using matching methods, we find that...

We estimate short, medium, and long-run individual labor market effects of training programs for unemployed by following program participation on a monthly basis over a tenyear period. Since analyzing the effectiveness of training over such a long period is impossible with experimental data, we...

We provide new evidence on the effectiveness of West German labour market programmes by evaluating training and employment programmes that have been conducted 2000 - 2002 after the first large reform of German labour market policy in 1998. We employ exceptionally rich administrative data that...

In an evaluation of a job-training program, the influence of the program on the individual earnings capacity is important, because it reflects the program effect on human capital. Estimating these effects is complicated because earnings are observed for employed individuals only, and employment...

Lechner and Miquel (2001) approached the causal analysis of sequences of interventions from a potential outcome perspective based on selection on observable type of assumptions (sequential conditional independence assumptions). Lechner (2004) proposed matching estimators for this framework....