. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation … and conventional estimation becomes more similar in larger samples and higher treatment shares. …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation … and conventional estimation becomes more similar in larger samples and higher treatment shares. …

is based on large scale labor market data from Germany and varies w.r.t. treatment selectivity, effect heterogeneity, the …

usually employed for the evaluation of labour market programmes in Germany. We vary several dimensions of the design that are …