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Finite sample properties of the GMM Anderson–Rubin test

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  • Maurice J. G. Bun
  • Helmut Farbmacher
  • Rutger W. Poldermans

Abstract

In the construction of the GMM version of the Anderson and Rubin (AR) test statistic there is the choice to use either uncentered or centered moment conditions to form the weighting matrix. We show that, when the number of moment conditions is moderately large, the centered GMM-AR test is oversized. At the same time, the uncentered version becomes conservative at conventional significance levels. Using an asymptotic expansion, we point to a missing degrees-of-freedom correction in the centered version of the GMM-AR test, which implicitly incorporates an Edgeworth correction. Monte Carlo experiments corroborate our theoretical findings and illustrate the accuracy of the degrees-of-freedom corrected, centered GMM-AR statistic in finite samples.

Suggested Citation

  • Maurice J. G. Bun & Helmut Farbmacher & Rutger W. Poldermans, 2020. "Finite sample properties of the GMM Anderson–Rubin test," Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1042-1056, November.
    • Handle: RePEc:taf:emetrv:v:39:y:2020:i:10:p:1042-1056
    DOI: 10.1080/07474938.2020.1761149
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    Cited by:

    1. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    2. Dennis Lim & Wenjie Wang & Yichong Zhang, 2024. "A Dimension-Agnostic Bootstrap Anderson-Rubin Test For Instrumental Variable Regressions," Papers 2412.01603, arXiv.org.

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