Criterion-based inference for GMM in autoregressive panel-data models.

In this paper we examine the properties of a simple criterion-based, likelihood ratio type test of parameter restristions for standard GMM estimators in autoregressive panel data models. A comparison is made with recent test proposals based in the continuously-updated GMM criterion (Hansen, Heaton a...

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Những tác giả chính: Bond, S, Bowsher, C, Windmeijer, F
Định dạng: Journal article
Ngôn ngữ:English
Được phát hành: Elsevier 2001
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author Bond, S
Bowsher, C
Windmeijer, F
author_facet Bond, S
Bowsher, C
Windmeijer, F
author_sort Bond, S
collection OXFORD
description In this paper we examine the properties of a simple criterion-based, likelihood ratio type test of parameter restristions for standard GMM estimators in autoregressive panel data models. A comparison is made with recent test proposals based in the continuously-updated GMM criterion (Hansen, Heaton and Yaron, 1996) or exponential tilting parameters (Imbens, Spady and Johnson, 1998). The likelihood ratio type statistic is computed simply as the difference between the standard GMM tests of overidentifying restrictions in the restricted and unrestricted models. In Monte Carlo simulations we find thsi test had similar properties to the criterion-based alternatives, whilst being much simpler to compute. All three criterion-based tests outperform conventional Wald tests in this context.
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spelling oxford-uuid:ada1a83b-e2ac-46b2-be27-6ca335dc13a32022-03-27T03:36:58ZCriterion-based inference for GMM in autoregressive panel-data models.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ada1a83b-e2ac-46b2-be27-6ca335dc13a3EnglishDepartment of Economics - ePrintsElsevier2001Bond, SBowsher, CWindmeijer, FIn this paper we examine the properties of a simple criterion-based, likelihood ratio type test of parameter restristions for standard GMM estimators in autoregressive panel data models. A comparison is made with recent test proposals based in the continuously-updated GMM criterion (Hansen, Heaton and Yaron, 1996) or exponential tilting parameters (Imbens, Spady and Johnson, 1998). The likelihood ratio type statistic is computed simply as the difference between the standard GMM tests of overidentifying restrictions in the restricted and unrestricted models. In Monte Carlo simulations we find thsi test had similar properties to the criterion-based alternatives, whilst being much simpler to compute. All three criterion-based tests outperform conventional Wald tests in this context.
spellingShingle Bond, S
Bowsher, C
Windmeijer, F
Criterion-based inference for GMM in autoregressive panel-data models.
title Criterion-based inference for GMM in autoregressive panel-data models.
title_full Criterion-based inference for GMM in autoregressive panel-data models.
title_fullStr Criterion-based inference for GMM in autoregressive panel-data models.
title_full_unstemmed Criterion-based inference for GMM in autoregressive panel-data models.
title_short Criterion-based inference for GMM in autoregressive panel-data models.
title_sort criterion based inference for gmm in autoregressive panel data models
work_keys_str_mv AT bonds criterionbasedinferenceforgmminautoregressivepaneldatamodels
AT bowsherc criterionbasedinferenceforgmminautoregressivepaneldatamodels
AT windmeijerf criterionbasedinferenceforgmminautoregressivepaneldatamodels