We evaluate a wage subsidy program that is targeted at long-term unemployed workers in Germany. We use an alternative identification procedure compared to empirical studies con­ducted so far. Exploiting the particular program regulations and large administrative data we estimate the impact of...

We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...

We evaluate a wage subsidy program that is targeted at long-term unemployed workers in Germany. We use an alternative identification procedure compared to empirical studies con­ducted so far. Exploiting the particular program regulations and large administrative data we estimate the impact of...

Wage subsidies are often suggested as a particularly effective policy to improve labor market chances of economically disadvantaged groups. We empirically evaluate an employer-side wage subsidy scheme targeted at the long-term unemployed in Germany. Based on program regulations and a large data...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...

Subsidised employment is an important tool of active labour market policies to improve the chances of the unemployed to find permanent employment. Using informative individual administrative data we investigate the effects of two different schemes of subsidised temporary employment implemented...

Subsidised employment is an important tool of active labour market policies to improve the chances of the unemployed to find permanent employment. Using informative individual administrative data we investigate the effects of two different schemes of subsidised temporary employment implemented...