Set-Valued Control Functions

Fuente: arXiv
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Main Authors: Han, Sukjin, Kaido, Hiroaki
Format: Preprint
Published: 2024
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author Han, Sukjin
Kaido, Hiroaki
author_facet Han, Sukjin
Kaido, Hiroaki
contents The control function approach allows the researcher to identify various causal effects of interest. While powerful, it requires a strong invertibility assumption in the selection process, which limits its applicability. This paper expands the scope of the nonparametric control function approach by allowing the control function to be set-valued and derive sharp bounds on structural parameters. The proposed generalization accommodates a wide range of selection processes involving discrete endogenous variables, random coefficients, treatment selections with interference, and dynamic treatment selections. The framework also applies to partially observed or identified controls that are directly motivated from economic models.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00347
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Set-Valued Control Functions
Han, Sukjin
Kaido, Hiroaki
Econometrics
The control function approach allows the researcher to identify various causal effects of interest. While powerful, it requires a strong invertibility assumption in the selection process, which limits its applicability. This paper expands the scope of the nonparametric control function approach by allowing the control function to be set-valued and derive sharp bounds on structural parameters. The proposed generalization accommodates a wide range of selection processes involving discrete endogenous variables, random coefficients, treatment selections with interference, and dynamic treatment selections. The framework also applies to partially observed or identified controls that are directly motivated from economic models.
title Set-Valued Control Functions
topic Econometrics
url https://arxiv.org/abs/2403.00347