The exact distribution of the conditional likelihood-ratio test in instrumental variables regression

Fuente: arXiv
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Autore principale: Londschien, Malte
Natura: Preprint
Pubblicazione: 2025
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author Londschien, Malte
author_facet Londschien, Malte
contents We derive the exact asymptotic distribution of the conditional likelihood-ratio test in instrumental variables regression under weak instrument asymptotics and for multiple endogenous variables. The distribution is conditional on all eigenvalues of the concentration matrix, rather than only the smallest eigenvalue as in an existing asymptotic upper bound. This exact characterization leads to a substantially more powerful test if there are differently identified endogenous variables. We provide computational methods implementing the test and demonstrate the power gains through numerical analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2509_04144
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The exact distribution of the conditional likelihood-ratio test in instrumental variables regression
Londschien, Malte
Econometrics
Statistics Theory
We derive the exact asymptotic distribution of the conditional likelihood-ratio test in instrumental variables regression under weak instrument asymptotics and for multiple endogenous variables. The distribution is conditional on all eigenvalues of the concentration matrix, rather than only the smallest eigenvalue as in an existing asymptotic upper bound. This exact characterization leads to a substantially more powerful test if there are differently identified endogenous variables. We provide computational methods implementing the test and demonstrate the power gains through numerical analysis.
title The exact distribution of the conditional likelihood-ratio test in instrumental variables regression
topic Econometrics
Statistics Theory
url https://arxiv.org/abs/2509.04144