COWLES FOUNDATION FOR RESEARCH IN
ECONOMICS Box 208281
COWLES FOUNDATION DISCUSSION PAPER NO. 1651 The Impact of a Hausman Pretest on the Size of Hypothesis Tests Patrik Guggenberger April 2008 This paper investigates the size properties of a two-stage test in the linear
instrumental variables model when in the first stage a Hausman (1978) specification test
is used as a pretest of exogeneity of a regressor. In the second stage, a simple
hypothesis about a component of the structural parameter vector is tested, using a t-statistic
that is based on either the ordinary least squares (OLS) or the two-stage least squares
estimator (2SLS) depending on the outcome of the Hausman pretest. The asymptotic size of
the two-stage test is derived in a model where weak instruments are ruled out by imposing
a lower bound on the strength of the instruments. The asymptotic size is a function of
this lower bound and the pretest and second stage nominal sizes. The asymptotic size
increases as the lower bound and the pretest size decrease. It equals 1 for empirically
relevant choices of the parameter space. It is also shown that, asymptotically, the
conditional size of the second stage test, conditional on the pretest not rejecting the
null of regressor exogeneity, is 1 even for a large lower bound on the strength of the
instruments. |