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Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification

Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_10686482

Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification

About this item

Full title

Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification

Publisher

Seoul: Institute of Economic Research

Journal title

Seoul Journal of Economics, 2025, 38(1), , pp.29-50

Language

English

Formats

Publication information

Publisher

Seoul: Institute of Economic Research

More information

Scope and Contents

Contents

The asymptotic behavior of generalized method of moments (GMM) estimators depends critically on whether the underlying moment condition model is correctly specified. Hong and Li (2024) showed that GMM estimators with nonsmooth (nondirectionally differentiable) moment functions are at best n1/3 consistent under misspecification. Through simulations,...

Alternative Titles

Full title

Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_10686482

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_10686482

Other Identifiers

ISSN

1225-0279

DOI

10.22904/sje.2025.38.1.002

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