Replication data for "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments"

Replication data for Hans Fricke, Markus Frölich, Martin Huber, and Michael Lechner (2020): "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments", Journal of Applied Econometrics, forthcoming. "expdata.RData" contains the data in R format. "attrition late public use code.R" contains the R code for replicating the empirical results in Table 6 of the paper. The aim is to evaluate the causal effect of a treatment (university gym visits) on an outcome (self-assessed health of students) in the presence of both treatment endogeneity and attrition/non-response bias, based on two distinct instrumental variables for the treatment (randomized cash incentive to visit the gym) and response (cash lottery for participating in the follow-up survey).