Program evaluations often focus on average treatment effects. However, average treatment effects miss important aspects of policy evaluation, such as the impact on inequality and whether treatment harms some individuals. A growing literature develops methods to evaluate such issues by examining...

The importance of using natural experiments and experimental data in economic research has long been recognized. Yet, it is only in recent years that these approaches have become an integral part of the economist's analytical toolbox, thanks to the efforts of Meyer, Card, Peters, Krueger,...

This paper provides empirical evidence that Accelerated Vehicle Programs exhibit a positive influence on car registrations using unique aggregate monthly data for 23 OECD countries from 2000 to 2010. The effect is still traceable if dynamic panel data fixed effects methods are used to address...

Many international organisations emphasize the need of public grant schemes evaluations. An evaluation provides the opportunity to assess the socio-economic impact achieved by the grant and allows for a refinement of such policy instruments in order to make public funding more effective in...

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...

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...