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Measuring efficiency with neural networks. An application to the public sector

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Author Info
Francisco J. Delgado () (Department of Economics - University of Oviedo)

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Abstract

In this note we propose the artificial neural networks for measuring efficiency as a complementary tool to the common techniques of the efficiency literature. In the application to the public sector we find that the neural network allows to conclude more robust results to rank decision-making units.

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File URL: http://www.accessecon.com/pubs/EB/2005/Volume3/EB-04C40010A.pdf
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Publisher Info
Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 3 (2005)
Issue (Month): 15 ()
Pages: 1-10
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ebl:ecbull:v:3:y:2005:i:15:p:1-10

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Related research
Keywords: DEA;

Find related papers by JEL classification:
H4 - Public Economics - - Publicly Provided Goods

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