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 ten-year period. Since analyzing the effectiveness of training over such a long period is impossible with experimental data, we...

In this paper we assess the effectiveness of a social public procurement policy in Switzerland that gives firms that train apprentices a preferential treatment. We estimate the effectiveness of this social procurement policy on a firm's training participation, training intensity, and training...

This paper examines whether contacts between caseworkers in public employment offices and employers impact on the reemployment chances of the unemployed they counsel. This analysis is made possible through a large administrative dataset on unemployed combined with an extensive survey of...

This paper investigates the link between variation in the supply of workers who participate in specific types of active labour market policies (ALMPs) and firm performance using a new exceptionally informative German employer-employee data base. For identification we exploit that German local...

Evidence suggests that acquiring human capital is related to better life outcomes, yet young peoples' decisions to invest in or stop acquiring human capital are still poorly understood. We investigate the role of time and reference-dependent preferences in such decisions. Using a data set that...

In many countries, caseworkers in a public employment office have the dual roles of counselling and monitoring unemployed persons. These roles often conflict with each other leading to important caseworker heterogeneity: Some consider providing services to their clients and satisfying their...

This paper evaluates the effect of a voucher award system for assignment into vocational training on the employment outcomes of unemployed voucher recipients in Germany, along with the causal mechanisms through which it operates. It assesses the direct effect of voucher assignment net of actual...

This paper investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both asymptotic approximations and bootstrap methods for...

We analyse the effects of government-sponsored training for the unemployed conducted during East German transition. For the microeconometric analysis, we use a new, large and informative administrative database that allows us to use matching methods to reduce potential selection bias, to study...

We investigate heterogenous employment effects of Flemish training programmes. Based on administrative individual data, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning estimator for multiple programmes. While all...