Measuring Technical Efficiency with Neural Networks: a Review

Daniel Santín, Francisco Delgado and Aurelia Valiño Castro

No 2001/09, Efficiency Series Papers from University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG)

Abstract: The main purpose of this paper is to provide an introduction to artificial neural networks (ANNs) and to review their applications on efficiency analysis. Finally, a comparison of efficiency techniques in a non-linear production function is carried out. Our results suggest that ANNs are a promising alternative to traditional approaches, econometric models and non-parametric methods such as data envelopment analysis (DEA), to fit production functions and measure efficiency under non-linear contexts.

Keywords: Artificial neural networks; efficiency; non-linear production function (search for similar items in EconPapers)
Pages: 21
Date: 2001
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Persistent link: https://EconPapers.repec.org/RePEc:oeg:wpaper:2001/09

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