Negative Control Falsification Tests for Instrumental Variable Designs

Fuente: arXiv
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Main Authors: Danieli, Oren, Nevo, Daniel, Walk, Itai, Weinstein, Bar, Zeltzer, Dan
Format: Preprint
Published: 2023
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author Danieli, Oren
Nevo, Daniel
Walk, Itai
Weinstein, Bar
Zeltzer, Dan
author_facet Danieli, Oren
Nevo, Daniel
Walk, Itai
Weinstein, Bar
Zeltzer, Dan
contents The validity of instrumental variable (IV) designs is typically tested using two types of falsification tests. We characterize these tests as conditional independence tests between negative control variables -- proxies for unobserved variables posing a threat to the identification -- and the IV or the outcome. We describe the conditions that variables must satisfy in order to serve as negative controls. We show that these falsification tests examine not only independence and the exclusion restriction, but also functional form assumptions. Our analysis reveals that conventional applications of these tests may flag problems even in valid IV designs. We offer implementation guidance to address these issues.
format Preprint
id arxiv_https___arxiv_org_abs_2312_15624
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Negative Control Falsification Tests for Instrumental Variable Designs
Danieli, Oren
Nevo, Daniel
Walk, Itai
Weinstein, Bar
Zeltzer, Dan
Econometrics
Methodology
The validity of instrumental variable (IV) designs is typically tested using two types of falsification tests. We characterize these tests as conditional independence tests between negative control variables -- proxies for unobserved variables posing a threat to the identification -- and the IV or the outcome. We describe the conditions that variables must satisfy in order to serve as negative controls. We show that these falsification tests examine not only independence and the exclusion restriction, but also functional form assumptions. Our analysis reveals that conventional applications of these tests may flag problems even in valid IV designs. We offer implementation guidance to address these issues.
title Negative Control Falsification Tests for Instrumental Variable Designs
topic Econometrics
Methodology
url https://arxiv.org/abs/2312.15624