Computing confidence intervals for output oriented DEA models: an application to agricultural research in Brazil.
Computing confidence intervals for output oriented DEA models: an application to agricultural research in Brazil.
Author(s): SOUZA, G. da S. e; SOUZA, M. O. de; GOMES, E. G.
Summary: 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.
Publication year: 2009
Types of publication: Paper in annals and proceedings
Keywords: Confidence intervals, DEA, agricultural research
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