Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.

We compare the finite sample performance of a range of tests of linear restrictions for linear panel data models estimated using the generalized method of moments (GMM). These include standard asymptotic Wald tests based on one-step and two-step GMM estimators; two bootstrapped versions of these Wal...

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Main Authors: Bond, S, Windmeijer, F
Format: Journal article
Language:English
Published: Taylor&Francis 2005
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author Bond, S
Windmeijer, F
author_facet Bond, S
Windmeijer, F
author_sort Bond, S
collection OXFORD
description We compare the finite sample performance of a range of tests of linear restrictions for linear panel data models estimated using the generalized method of moments (GMM). These include standard asymptotic Wald tests based on one-step and two-step GMM estimators; two bootstrapped versions of these Wald tests; a version of the two-step Wald test that uses a finite sample corrected estimate of the variance of the two-step GMM estimator; the LM test; and three criterion-based tests that have recently been proposed. We consider both the AR(1) panel model and a design with predetermined regressors. The corrected two-step Wald test performs similarly to the standard one-step Wald test, whilst the bootstrapped one-step Wald test, the LM test, and a simple criterion-difference test can provide more reliable finite sample inference in some cases.
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spelling oxford-uuid:0772d6f6-c4ea-4a4a-a517-b4ed734a459b2022-03-26T09:07:32ZReliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0772d6f6-c4ea-4a4a-a517-b4ed734a459bEnglishDepartment of Economics - ePrintsTaylor&Francis2005Bond, SWindmeijer, FWe compare the finite sample performance of a range of tests of linear restrictions for linear panel data models estimated using the generalized method of moments (GMM). These include standard asymptotic Wald tests based on one-step and two-step GMM estimators; two bootstrapped versions of these Wald tests; a version of the two-step Wald test that uses a finite sample corrected estimate of the variance of the two-step GMM estimator; the LM test; and three criterion-based tests that have recently been proposed. We consider both the AR(1) panel model and a design with predetermined regressors. The corrected two-step Wald test performs similarly to the standard one-step Wald test, whilst the bootstrapped one-step Wald test, the LM test, and a simple criterion-difference test can provide more reliable finite sample inference in some cases.
spellingShingle Bond, S
Windmeijer, F
Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title_full Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title_fullStr Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title_full_unstemmed Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title_short Reliable Inference for GMM Estimators? Finite Sample Properties of Alternative Test Procedures in Linear Panel Data Models.
title_sort reliable inference for gmm estimators finite sample properties of alternative test procedures in linear panel data models
work_keys_str_mv AT bonds reliableinferenceforgmmestimatorsfinitesamplepropertiesofalternativetestproceduresinlinearpaneldatamodels
AT windmeijerf reliableinferenceforgmmestimatorsfinitesamplepropertiesofalternativetestproceduresinlinearpaneldatamodels