Bounding Treatment Effects: Stata Command for the Partial Identification of the Average Treatment Effect with Endogenous and Misreported Treatment Assignment

We present a new Stata command, tebounds, which implements a variety of techniques to bound the average treatment effect (ATE) of a binary treatment on a binary outcome in light of endogenous and misreported treatment assignment. To tighten the worst case bounds, the Monotone Treatment Selection (MTS), Monotone Treatment Response (MTR), and Monotone Instrumental Variable (MIV) assumptions of Manski and Pepper (2000), Kreider and Pepper (2007), Kreider et al. (2012) and Gundersen et al. (2012) may be imposed. Imbens-Manski confidence intervals are provided.