Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment*

Author:

Acerenza Santiago1

Affiliation:

1. Departamento de Economía Universidad ORT Uruguay Blvr. España 2633 11300 Montevideo Uruguay

Abstract

This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effects of food stamps on health.

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Reference32 articles.

1. Acerenza S. Ban K.andKédagni D.(2021).Marginal Treatment Effects with Misclassified Treatment. arXiv preprint arXiv:2105.00358.

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5. Simple and honest confidence intervals in nonparametric regression

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