Bounding treatment effects: A command for the partial identification of the average treatment effect with endogenous and misreported treatment assignment

Stata Journal

Volumn 15, Issue 2, 2015, Pages 411-436

  McCarthy, Ian ^a   Millimet, Daniel L ^b,c   Roy, Manan ^d  

^a EMORY UNIVERSITY   (United States)

^b SOUTHERN METHODIST UNIVERSITY   (United States)

^c IZA   (Germany)

^d UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Misreporting; Monotone instrumental variable; Monotone treatment response; Monotone treatment selection; Partial identification; Selection; Set identification; st0386; tebounds; Treatment effects

Indexed keywords

EID: 85010620068     PISSN: 1536867X     EISSN: 15368734     Source Type: Journal    
DOI: 10.1177/1536867x1501500205     Document Type: Article

References (17)

1. Bontemps, C., T. Magnac, and E. Maurin. 2012. Set identified linear models. Econometrica 80: 1129-1155.
2. Chernozhukov, V., S. Lee, and A. M. Rosen. 2013. Intersection bounds: Estimation and inference. Econometrica 81: 667-737.
3. Gundersen, C., B. Kreider, and J. Pepper. 2012. The impact of the National School Lunch Program on child health: A nonparametric bounds analysis. Journal of Econometrics 166: 79-91.
4. Hirano, K., and J. R. Porter. 2012. Impossibility results for nondifferentiable functionals. Econometrica 80: 1769-1790.
5. Imbens, G. W., and C. F. Manski. 2004. Confidence intervals for partially identified parameters. Econometrica 72: 1845-1857.
6. Kolenikov, S. 2010. Resampling variance estimation for complex survey data. Stata Journal 10: 165-199.
7. Kreider, B., and J. V. Pepper. 2007. Disability and employment: Reevaluating the evidence in light of reporting errors. Journal of the American Statistical Association 102: 432-441.
8. Kreider, B., J. V. Pepper, C. Gundersen, and D. Jolliffe. 2012. Identifying the effects of SNAP (food stamps) on child health outcomes when participation is endogenous and misreported. Journal of the American Statistical Association 107: 958-975.
9. Kreider, B., J. V. Pepper, and M. Roy. 2013. Does the women, infants, and children (WIC) program improve infant health outcomes? Unpublished manuscript.
10. Lafférs, L. 2013. A note on bounding average treatment effects. Economics Letters 120: 424-428.
11. Manski, C. F. 2013. Public Policy in an Uncertain World: Analysis and Decisions. Cambridge, MA: Harvard University Press.
12. Manski, C. F., and J. V. Pepper. 2000. Monotone instrumental variables: With an application to the returns to schooling. Econometrica 68: 997-1010.
13. Manski, C. F., and J. V. Pepper. 2009. More on monotone instrumental variables. Econometrics Journal 12: S200-S216.
14. Millimet, D. L. 2011. The elephant in the corner: A cautionary tale about measurement error in treatment effects models. Advances in Econometrics: Missing-Data Methods 27A: 1-39.
15. Millimet, D. L., and R. Tchernis. 2013. Estimation of treatment effects without an exclusion restriction: With an application to the analysis of the school breakfast program. Journal of Applied Econometrics 28: 982-1017.
16. Pitblado, J. 2013. bs4rw: Bootstrap using replicate weight variables. http://www.stata.com/users/jpitblado.
17. Tamer, E. 2010. Partial identification in econometrics. Annual Review of Economics 2: 167-195.