Ineffective fundraising lowers the resources charities can use for goods provision. We combine a field experiment and a causal machine-learning approach to increase a charity’s fundraising effectiveness. The approach optimally targets fundraising to individuals whose expected donations exceed...

This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: professional chess. Move-by-move data provide exceptionally detailed and precise...

This paper investigates the causal effect of improvements in health on economic development using a long panel of European countries. Identification is based on the particular timing of the introduction of public health care systems in different countries, which is the random outcome of a...

This paper assesses the performance of common estimators adjusting for differences in covariates, like matching and regression, when faced with so-called common support problems. It also shows how different procedures suggested in the literature to tackle common support problems affect the...

This paper studies the return-to-job of female employees after first birth based on exceptional longitudinal data from personnel records of a large German company. Given a very long maternity leave coverage, we investigate to what extent data available to management allow to predict the...

This paper estimates the labor market effects of being awarded with a training voucher using an instrumental variable approach. In Germany all public sponsored further training programs are allocated through vouchers and the system, we study here, thus represents a major case of the use of...