The Hausman Test and Weak Instruments
نویسندگان
چکیده
We consider the following problem. There is a structural equation of interest that contains an explanatory variable that theory predicts is endogenous. There are one or more instrumental variables that credibly are exogenous with regard to this structural equation, but which have limited explanatory power for the endogenous variable. Further, there is one or more potentially strong instrument, which has much more explanatory power but which may not be exogenous. Hausman (1978) provided a test for the exogeneity of the second instrument when none of the instruments are weak. Here we focus on how the standard Hausman test does in the presence of weak instruments using the Staiger-Stock asymptotics. It is natural to conjecture that the standard version of the Hausman test would be invalid in the weak instruments case, which we con rm. However, we provide a version of the Hausman test that is valid even in the presence of weak IV. We show that the situation we analyze occurs in several important economic examples. Our Monte Carlo experiments show that this procedure works relatively well in nite samples. We should note that our test is not consistent, although we believe that it is impossible to construct a consistent test with weak instruments.
منابع مشابه
Asymptotic Properties of the Hahn-Hausman Test for Weak Instruments
This note provides the weak-instrument asymptotic distributions of Hahn and Hausman’s (2002) tests for instrument validity. These distributions are used to compute asymptotic rejection rates when instruments are weak and, as a special case, irrelevant. These tests were proposed as pretests, and the asymptotic properties of post-test inferences, conditional on the tests failing to reject instrum...
متن کاملWeak Instruments: Diagnosis and Cures in Empirical Econometrics
What is the weak instruments (WI) problem and what causes it? Universal agreement does not exist on these questions. We define weak instruments by two features: (1) 2SLS is badly biased toward the OLS estimate and alternative “unbiased” estimators such as LIML may not solve the problem and (2) the standard (first order) asymptotic distribution does not give an accurate framework for inference. ...
متن کاملThe Effect of Pseudo-Exogenous Instrumental Variables on Hausman Test
This paper investigates the potential problem of ‘pseudo-exogenous’ instruments in regression models. We show that the performance of Hausman test is deteriorated when the instruments are asymptotically exogenous but endogenous in finite samples, through Monte Carlo simulations.
متن کاملInference in Two-Step Panel Data Models with Weak Instruments and Time-Invariant Regressors: Bootstrap versus Analytic Estimators
The primary advantage to panel data is the ability they afford to control for unobserved heterogeneity. The fixed-effects (FE) estimator is by far the most popular technique for exploiting this advantage, but it eliminates any time-invariant regressors along with the unobserved time-invariant effects. Their partial effects can be easily recovered in a second-step regression of residuals, constr...
متن کاملAn Expository Note on the Existence of Moments of Fuller and HFUL Estimators∗
In a recent paper, Hausman et al. (2012) propose a new estimator, HFUL (Heteroscedasticity robust Fuller), for the linear model with endogeneity. This estimator is consistent and asymptotically normally distributed in the many instruments and many weak instruments asymptotics. Moreover, this estimator has moments, just like the estimator by Fuller (1977). The purpose of this note is to discuss ...
متن کامل