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Econometrica Vol. 74 No. 3 2006

Optimal Two-Sided Invariant Similar Tests for Instrumental Variables Regression

Donald W. K. Andrews1; Marcelo J. Moreira1; James H. Stock

1 Harvard University Press

Abstract

This paper considers tests of the parameter on an endogenous variable in an instrumental variables regression model. The focus is on determining tests that have some optimal power properties. We start by considering a model with normally distributed errors and known error covariance matrix. We consider tests that are similar and satisfy a natural rotational invariance condition. We determine a two-sided power envelope for invariant similar tests. This allows us to assess and compare the power properties of tests such as the conditional likelihood ratio (CLR), the Lagrange multiplier, and the Anderson-Rubin tests. We find that the CLR test is quite close to being uniformly most powerful invariant among a class of two-sided tests. Copyright The Econometric Society 2006.

DOI
10.1111/j.1468-0262.2006.00680.x
Volume
74
Issue
3
Pages
715-752
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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