On the performance of tests by Wu and by Hausman for detecting the ordinary least squares bias problem
We first consider the performance of the Wu-Hausman (W-H) specification error test [\textit{D.-M. Wu}, Econometrica 41, 733-750 (1973; Zbl 0301.62032) and \textit{J. A. Hausman}, ibid. 46, 1251-1271 (1978; Zbl 0397.62043)] as a test for the existence of ordinary least squares (OLS) bias. We discuss power properties of the test under alternative null hypotheses, one of which has not previously been considered. We next consider how the W-H test performs as an indicator of the extent (rather than the existence) of an OLS bias problem, since this usage of the test seems common in applied studies. Finally Monte Carlo methods are used to evaluate Wu's two-step estimation procedure involving the W-H test as a pretest.
Wu-Hausman (W-H) specification error test
scientific article; zbMATH DE number 3988583