Patrik Guggenberger
;
Gitanjali Kumar

on the size distortion of tests after an overidentifying restrictions pretest (replication data)

In the linear instrumental variables model, we provide theoretical and Monte Carlo evidence for the size distortion of a two-stage hypothesis test that uses a test of overidentifying restrictions (OR) in the first stage. We derive a lower bound for the asymptotic size of the two-stage test. The lower bound is given by the asymptotic size of a test that rejects the null hypothesis when two conditions are met: the test of OR used in the first stage does not reject and the test in the second stage rejects. This lower bound can be as large as 1 − εP, where εP is the pretest nominal size, for a parameter space that allows for local non-exogeneity of the instruments but rules out weak instruments.

Data and Resources

Suggested Citation

Guggenberger, Patrik; Kumar, Gitanjali (2012): On the size distortion of tests after an overidentifying restrictions pretest (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022320.0730634003