Negative Control Falsification Tests for Instrumental Variable Designs
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 variables must satisfy in order to serve as negative controls. We show these falsification tests examine not only independence and the exclusion restriction but also functional form assumptions. Our analysis reveals conventional applications of these tests may flag problems even in valid IV designs. We offer implementation guidance to address these issues. (JEL C12, C18, C26, C52)
Authors
- Daniel Nevo (ORCID: https://orcid.org/0000-0002-9770-827X)
- Dan Zeltzer (ORCID: https://orcid.org/0000-0002-4140-7531)
- Oren Danieli
- Bar Weinstein (ORCID: https://orcid.org/0000-0002-6316-2598)
- Itai Walk
Institutions
- Tel Aviv University (IL)
- University of California, Berkeley (US)
Publication Details
- Journal
- American Economic Review
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1257/aer.20240636
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00