Data and code for Heterogeneity in Effects of Poverty-alleviating Interventions

In this paper, we explore heterogeneity in treatment effects with respect to pre-treatment recipient and household characteristics for each of our proposed interventions. Taken together, our results indicate that the treatment effects of the workshop, cash intervention and their combination vary little with respect to both pre-specified measures of heterogeneity and a broader class of pre-treatment variables. Once we adjust for multiple hypothesis testing, there is little-to-no evidence for heterogeneity. This is true under both our pre-specified median split strategy and modern machine-learning-based heterogeneity analyses. <br><br>The paper revisits a 415-village cluster-randomized field experiment involving 8,300 women living in poverty in rural Kenya. The trial had four treatment arms. The first was an unconditional cash transfer of 2,237 USD PPP. Our implementing partner provided transfers to 2,085 households, with women selected by households to receive the transfer in 91% of cases. It was delivered in three monthly tranches of 203, 1,017, and 1,017 USD PPP via the mobile money payments system M-Pesa. The target population was made up of poor households identified by a proxy-means test.<br>