Bootstrap bias-adjusted GMM estimators

dc.contributor.authorRamalho, Joaquim J.S.por
dc.date.accessioned2013-04-03T11:29:29Z
dc.date.available2013-04-03T11:29:29Z
dc.date.created2005por
dc.date.issued2005por
dc.description.abstractThe ability of six alternative bootstrap methods to reduce the bias of GMM parameter estimates is examined in an instrumental variable framework using Monte Carlo analysis. Promising results were found for the two bootstrap estimators suggested in the paper.por
dc.identifier.authoremailjsr@uevora.ptpor
dc.identifier.authorworkplaceDepartment of Economics, University of Évorapor
dc.identifier.citationRamalho, J.J.S. (2005), Bootstrap bias-adjusted GMM estimators, Documento de Trabalho nº 2005/10, Universidade de Évora, Departamento de Economia.por
dc.identifier.jelclassificationC13,C14por
dc.identifier.numpag9por
dc.identifier.repecnumber10_2005por
dc.identifier.urihttp://hdl.handle.net/10174/8424
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectGMMpor
dc.subjectBootstrappor
dc.subjectEmpirical Likelihoodpor
dc.subjectInstrumental Variablespor
dc.subjectMonte Carlopor
dc.titleBootstrap bias-adjusted GMM estimatorspor
dc.typeworkingPaperpor

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