Specification Testing in Models with Many Instruments

Citation:

Anatolyev, Stanislav and Gospodinov, Nikolay (2011) "Specification Testing in Models with Many Instruments", Econometric Theory, vol. 27, no. 2, pp. 427–441

Abstract:

This paper studies the asymptotic validity of the Anderson-Rubin (AR) test and the J test for overidentifying restrictions in linear models with many instruments. When the number of instruments increases at the same rate as the sample size, we establish that the conventional AR and J tests are asymptotically incorrect. Some versions of these tests, that are developed for situations with moderately many instruments, are also shown to be asymptotically invalid in this framework. We propose modifications of the AR and J tests that deliver asymptotically correct sizes. Importantly, the corrected tests are robust to the numerosity of the moment conditions in the sense that they are valid for both few and many instruments. The simulation results illustrate the excellent properties of the proposed tests.

Paper in RePEc:

Econometric Theory, vol. 27, no. 2, pp. 427–441

Paper in accepted version:

SpecTest.pdf

Supplementary material:

Additional simulation results

Cited by:

Lee, Y. & Okui, R. (2012) "Hahn–Hausman test as a specification test", Journal of Econometrics, Vol. 167, pp. 133-139.