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

Economics bulletinPublished 18 March 2005
Francisco J. Delgado
Citations33
SJR quartileQ4
SJR score0.15
SNIP0.14

TL;DR

The artificial neural networks for measuring efficiency as a complementary tool to the common techniques of the efficiency literature are proposed and it is found that the neural network allows to conclude more robust results to rank decision-making units.

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.

Keywords

Decision Sciences