Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/993719
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dc.contributor.authorSOUZA, G. da S. ept_BR
dc.contributor.authorGOMES, E. G.pt_BR
dc.date.accessioned2014-08-29T11:11:11Zpt_BR
dc.date.available2014-08-29T11:11:11Zpt_BR
dc.date.created2014-08-29pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationWSEAS Transactions on Systems, v. 13, p. 440-449, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/993719pt_BR
dc.descriptionWe propose alternative regression models to assess the effects of covariates in output oriented DEA scores. We use probability choice models combined with specifications related to the gamma and to the truncated normal families of distributions. These specifications imply different two stage regression models and alternative quasi maximum likelihood estimators. We apply these methods to assess the significance of technical effects ? type of unit, processes improvement and technology impact ? affecting DEA efficiency scores computed to agricultural research production in Brazil, measured through Embrapa. We favor models taking into account the whole sample of efficiency scores and not only the inefficient units. In our application we conclude that type of unit and processes improvement are significant effects, with the latter effect negatively associated to the efficiency of the units classified into the type of unit considered more efficient.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMelhoria de processopt_BR
dc.subjectModelo de regressãopt_BR
dc.subjectFatoriais fracionáriospt_BR
dc.titleAssessing the significance of covariates in output oriented data envelopment analysis with two stage regression models.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-08-29T11:11:11Zpt_BR
dc.subject.thesagroMétodo estatísticopt_BR
dc.subject.thesagroPesquisa agrícolapt_BR
dc.subject.nalthesaurusData analysispt_BR
dc.subject.nalthesaurusRegression analysispt_BR
dc.subject.nalthesaurusAgricultural researchpt_BR
riaa.ainfo.id993719pt_BR
riaa.ainfo.lastupdate2014-08-29pt_BR
dc.contributor.institutionGERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE.pt_BR
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