GMM based tests for locally misspecified models

dc.creator.AutorSosa Escudero, Walter
dc.date.accessioned2016-11-30T15:54:42Z
dc.date.available2016-11-30T15:54:42Z
dc.date.issued2006-09
dc.descriptionFil: Sosa Escudero, Walter. Universidad de San Andrés. Departamento de Economía; Argentina.
dc.description.abstractThis paper shows that the standard Newey-West GMM based test is sensitive to the presence of locally misspecified alternatives. In particular, such test is shown to have incorrect size when the null model is locally contaminated, making the test spuriously reject the null hypothesis even when it is correct. After obtaining the distribution of the Newey-West test statistic under the misspecified alternative, the paper derives a Bera-Yoon modified test based on a restricted GMM estimator, which has the correct size under local misspecification. The paper can be seen as extending the likelihood based results of Saikkonen (1989), Davidson and MacKinnon (1987) and Bera and Yoon (1993) to the GMM framework, which does not require full specification of the underlying probabilistic model.
dc.formatapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10908/11920
dc.languageeng
dc.publisherUniversidad de San Andrés. Departamento de Economía
dc.relation.ispartofseriesDocumento de trabajo (Universidad de San Andrés. Departamento de Economía);93
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleGMM based tests for locally misspecified models
dc.typeDocumento de Trabajo
dc.typeinfo:eu-repo/semantics/workingPaper
dc.typeinfo:ar-repo/semantics/documento de trabajo
dc.typeinfo:eu-repo/semantics/draft
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