This paper analyzes the impact of externalities on household demand for sanitation and the subsequent welfare effects generated from policy interventions. A critical feature of household sanitation (e.g., toilets) is that the take-up generates externalities where the privately chosen level is...

This study analyses the impact of vouchers, an Italian alternative work arrangement, on earnings of atypical workers. We investigate whether this form of very flexible casual work substitutes for income from more standard labor contracts and from employment insurance programs. We rely on panel...

This paper analyzes the relationship between households' wealth and heterogeneous treatment impacts for a market-based training program that has benefited more than 40,000 disadvantaged individuals in Peru since 1996. We proxy long-run wealth by a linear index based on 21 household assets, and...

This paper uses count and binary data models with endogenous switching, and propensity score matching to evaluate the effect of the subsidized health care program in Medellin (Colombia). The subsidized program, which primarily covers poor people, is found to have a negative association with the...

The possibility of reoccurring waves of the novel coronavirus that triggered the 2020 pandemic makes it critical to identify underlying policy-relevant factors that could be leveraged to decrease future COVID-19 death rates. We examined variation in a number of underlying, policy-relevant,...

Our survey covers the recent developments of the microeconometric literature on evaluation methods. In this field, the canonical model is Rubin's causal model, which is close to Roy's selectivity model. This model is the relevant framework for defining and for examining the identifiability...

We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of the assigned treatments in his market. To evaluate how the...

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...

We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of treatments in his market. To evaluate how the distribution...