Computing confidence intervals for output oriented DEA models: an application to agricultural research in Brazil.
AUTOR(ES)
SOUZA, G. da S. e
FONTE
SIMPÓSIO BRASILEIRO DE PESQUISA OPERACIONAL
DATA DE PUBLICAÇÃO
2011
RESUMO
We define and model the research production at Embrapa, the major Brazilian institution responsable for applied agricultural research. The main theoretical framework is Data Envelopment Analysis - DEA. We explore the economic interpretation and the statistical properties of these models to compute confidence intervals for output oriented efficiency measurements, based on a parametric flexible model, defined by the truncated normal distribution. These results provide a better insight on the efficiency classification and allow comparison among the DMUs involved int ehe evaluation process taking into account inefficiency random variation.
ASSUNTO(S)
confidence intervals dea agricultural research
ACESSO AO ARTIGO
http://www.alice.cnptia.embrapa.br/handle/doc/659417Documentos Relacionados
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