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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
29/08/2014 |
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Data da última atualização: |
29/08/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, G. da S. e; GOMES, E. G. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. |
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Título: |
Assessing the significance of covariates in output oriented data envelopment analysis with two stage regression models. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
WSEAS Transactions on Systems, v. 13, p. 440-449, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
We 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. |
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Palavras-Chave: |
Fatoriais fracionários; Melhoria de processo; Modelo de regressão. |
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Thesagro: |
Método estatístico; Pesquisa agrícola. |
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Thesaurus Nal: |
Agricultural research; Data analysis; Regression analysis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107504/1/assessing-the-significance.pdf
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Marc: |
LEADER 01700naa a2200229 a 4500
001 1993719
005 2014-08-29
008 2014 bl uuuu u00u1 u #d
100 1 $aSOUZA, G. da S. e
245 $aAssessing the significance of covariates in output oriented data envelopment analysis with two stage regression models.$h[electronic resource]
260 $c2014
520 $aWe 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.
650 $aAgricultural research
650 $aData analysis
650 $aRegression analysis
650 $aMétodo estatístico
650 $aPesquisa agrícola
653 $aFatoriais fracionários
653 $aMelhoria de processo
653 $aModelo de regressão
700 1 $aGOMES, E. G.
773 $tWSEAS Transactions on Systems$gv. 13, p. 440-449, 2014.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
