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)
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)
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Persistent link: https://EconPapers.repec.org/RePEc:oeg:wpaper:2001/09
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