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...

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...

The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using a notably rich and large data set of 1.7 million employees in Switzerland, we investigate how the methodological...

The vast majority of existing studies that estimate the average unexplained gender pay gap use unnecessarily restrictive linear versions of the Blinder-Oaxaca decomposition. Using a notably rich and large data set of 1.7 million employees in Switzerland, we investigate how the methodological...

We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an Empirical Monte Carlo Study that relies on arguably realistic data generation processes (DGPs) based on actual data. We consider 24...

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...

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...

We analyze the effectiveness of further training for unemployed under two different regulatory regimes, which are featured by different assignment mechanisms and selection criteria. The first regime is characterized by a strong influence of caseworkers, because they can assign unemployed to...

In this study, we promote the estimation of alternative distributional policy parameters that identify horizontal changes in conditional distributions at quantiles from a reference distribution. The motivation underlying the introduction of these new parameters is the comparison of...