Martin Huber
Lukáš Lafférs
Giovanni Mellace

sharp iv bounds on average treatment effects on the treated and other populations under endogeneity and noncompliance (replication data)

In the presence of an endogenous binary treatment and a valid binary instrument, causal effects are point identified only for the subpopulation of compliers, given that the treatment is monotone in the instrument. With the exception of the entire population, causal inference for further subpopulations has been widely ignored in econometrics. We invoke treatment monotonicity and/or dominance assumptions to derive sharp bounds on the average treatment effects on the treated, as well as on other groups. Furthermore, we use our methods to assess the educational impact of a school voucher program in Colombia and discuss testable implications of our assumptions.

Data and Resources

Suggested Citation

Huber, Martin; Lafférs, Lukáš; Mellace, Giovanni (2017): Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance (replication data). Version: 1. Journal of Applied Econometrics. Dataset.