Sample sensitivity for two-step and continuous updating GMM estimators

Rikuto Onishi and Taisuke Otsu

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: This paper follows up the sensitivity analysis by Andrews, Gentzkow and Shapiro (2017) for biases in GMM estimators due to local violations of identifying assumptions, and proposes complementary bias measures that are sensitive to different choices of GMM weight matrices by considering a specific form of the local perturbation. Our method accommodates the two-step and continuous updating GMM estimators with or without centering. The proposed bias measures are illustrated by a consumption based asset pricing model using Japanese data.

Keywords: sensitivity analysis; generalized method of moments; misspecification (search for similar items in EconPapers)
JEL-codes: J1 (search for similar items in EconPapers)
Pages: 4 pages
Date: 2021-01-01
New Economics Papers: this item is included in nep-ecm
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Published in Economics Letters, 1, January, 2021, 198. ISSN: 0165-1765

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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:107522

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