Testing for strong exogeneity in Proxy-VARs

Proxy variables have gained widespread prominence as indispensable tools for identifying structural VAR models. Analogous to instrumental variables, proxies need to be exogenous, i.e. uncorrelated with all non-target shocks. Assessing the exogeneity of proxies has traditionally relied on economic arguments rather than statistical tests. We argue that the economic rationale underlying the construction of commonly used proxy variables aligns with a stronger form of exogeneity. Specifically, proxies are typically constructed as variables not containing any information on the expected value of non-target shocks. We show conditions under which this enhanced concept of proxy exogeneity is testable without additional identifying assumptions.

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Publication Details

Journal
Journal of Econometrics
Published
2024-10-01
DOI
https://doi.org/10.1016/j.jeconom.2024.105876
Citations
2
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.66

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article

Testing for strong exogeneity in Proxy-VARs

Sascha A. Keweloh, Martin Bruns
2 citations
Journal of Econometrics
Fault Detection and Control Systems
0.66
article

Testing for strong exogeneity in Proxy-VARs

Sascha A. Keweloh, Martin Bruns
article en
2 citations

Abstract

Proxy variables have gained widespread prominence as indispensable tools for identifying structural VAR models. Analogous to instrumental variables, proxies need to be exogenous, i.e. uncorrelated with all non-target shocks. Assessing the exogeneity of proxies has traditionally relied on economic arguments rather than statistical tests. We argue that the economic rationale underlying the construction of commonly used proxy variables aligns with a stronger form of exogeneity. Specifically, proxies are typically constructed as variables not containing any information on the expected value of non-target shocks. We show conditions under which this enhanced concept of proxy exogeneity is testable without additional identifying assumptions.

Journal of EconometricsVol. 245(1-2)
University of East Anglia (GB), TU Dortmund University (DE), Norwich Research Park (GB)
British Academy
Zero hunger
Openalex Percentile: Top 29%
Fault Detection and Control Systems
0.66
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Testing for strong exogeneity in Proxy-VARs — Sascha A. Keweloh, Martin Bruns · Journal of Econometrics (2024) | TGRS Research Map | TGRS