Specification Testing in Models with Many Instruments
Stanislav Anatolyev and
Nikolay Gospodinov
No w0124, Working Papers from New Economic School (NES)
Abstract:
This paper studies the asymptotic validity of the Anderson-Rubin (AR) test and the J test of 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.
Keywords: Instrumental variables; many instruments; Bekker?s asymptotics; Anderson? Rubin test; test for overidentifying restrictions. (search for similar items in EconPapers)
JEL-codes: C12 C21 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2008-09
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https://www.nes.ru/files/Preprints-resh/WP124.pdf (application/pdf)
Related works:
Journal Article: SPECIFICATION TESTING IN MODELS WITH MANY INSTRUMENTS (2011) 
Working Paper: Specification Testing in Models with Many Instruments (2008) 
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Persistent link: https://EconPapers.repec.org/RePEc:abo:neswpt:w0124
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