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...

Based on a unique composite dataset measuring heterogeneous sports participation, labour market outcomes and local facilities provision, this paper examines for the first time the association between different types of sports participation on employment and earnings in England. Clear...

Does after-school care provision promote mothers' employment and balance the allocation of paid work among parents of schoolchildren? We address this question by exploiting variation in cantonal (state) regulations of after-school care provision in Switzerland. To establish exogeneity of...

Based on the Canadian National Population Health Survey we estimate the effects of individual sports and exercise on individual labor market outcomes. The data covers the period from 1994 to 2008. It is longitudinal and rich in life-style, health, and physical activity information. Exploiting...

The disclosure of the VW emission manipulation scandal caused a quasi-experimental market shock in the observable quality of VW diesel vehicles. We consider a classical model for adverse selection and sorting to derive an empirically testable hypothesis about the impact of observable quality on...

Based on new, exceptionally informative and large German linked employer-employee administrative data, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programs for the...

Despite the relevance of cognitive and non-cognitive skills for professional success, their formation is not yet fully understood. This study fills part of this gap by analyzing the effect of sports club participation, one of the most popular extra-curricular activities, on children's skill...

Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

This paper models payment evasion as a source of profit by letting the firm choose the purchase price and the fine imposed on detected payment evaders. For a given price and fine, the consumers purchase, evade payment, or choose the outside option. We show that payment evasion leads to a form of...