Citation
Bartalotti, Otávio; Kédagni, Désiré; & Possebom, Vitor (Online ahead of print). Identifying Marginal Treatment Effects in the Presence of Sample Selection. Journal of Econometrics.Abstract
This article presents identification results for the marginal treatment effect (MTE) when there is sample selection. We show that the MTE is partially identified for individuals who are always observed regardless of treatment, and derive uniformly sharp bounds on this parameter under three increasingly restrictive sets of assumptions. The first result imposes standard MTE assumptions with an unrestricted sample selection mechanism. The second set of conditions imposes monotonicity of the sample selection variable with respect to treatment, considerably shrinking the identified set. Finally, we incorporate a stochastic dominance assumption which tightens the lower bound for the MTE. Our analysis extends to discrete instruments. The results rely on a mixture reformulation of the problem where the mixture weights are identified, extending Lee’s (2009) trimming procedure to the MTE context. We propose estimators for the bounds derived and use data made available by Deb et al. (2006) to empirically illustrate the usefulness of our approach.URL
https://doi.org/10.1016/j.jeconom.2021.11.011Reference Type
Journal ArticleYear Published
Online ahead of printJournal Title
Journal of EconometricsAuthor(s)
Bartalotti, OtávioKédagni, Désiré
Possebom, Vitor