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.
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.
2. Lifetime earnings and the Vietnam era draft lottery: evidence from social security administrative records;Angrist J. D.;The American Economic Review,1990
3. Children and their parents' labor supply: evidence from exogenous variation in family size;Angrist J. D.;The American Economic Review,1998
4. Does Compulsory School Attendance Affect Schooling and Earnings?
5. Simple and honest confidence intervals in nonparametric regression