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Author: Ban, Kyunghoon
Resulting in 1 citation.
1. Ban, Kyunghoon
Kedagni, Desire
Nonparametric Bounds on Treatment Effects with Imperfect Instruments
Econometrics Journal published online (29 November 2021): DOI: 10.1093/ectj/utab033.
Also: https://academic.oup.com/ectj/advance-article/doi/10.1093/ectj/utab033/6445996
Cohort(s): Young Men
Publisher: Royal Economic Society (RES)
Keyword(s): Educational Returns; Modeling; Modeling, Nonparametric Regression; Research Methodology

Permission to reprint the abstract has not been received from the publisher.

This paper extends the identification results in Nevo and Rosen (2012) to nonparametric models. We derive nonparametric bounds on the average treatment effect when an imperfect instrument is available. As in Nevo and Rosen (2012), we assume that the correlation between the imperfect instrument and the unobserved latent variables has the same sign as the correlation between the endogenous variable and the latent variables. We show that the monotone treatment selection and monotone instrumental variable restrictions, introduced by Manski and Pepper (2000, 2009), jointly imply this assumption. Moreover, we show how the monotone treatment response assumption can help tighten the bounds. The identified set can be written in the form of intersection bounds, which is more conducive to inference. We illustrate our methodology using the National Longitudinal Survey of Young Men data to estimate returns to schooling.
Bibliography Citation
Ban, Kyunghoon and Desire Kedagni. "Nonparametric Bounds on Treatment Effects with Imperfect Instruments." Econometrics Journal published online (29 November 2021): DOI: 10.1093/ectj/utab033.