Efficiency in Public Sector: A Neural Network Approach

Francisco Delgado ()

No 81, Computing in Economics and Finance 2004 from Society for Computational Economics

Abstract: Here artificial neural networks (ANNs) are employed for efficiency purposes. First, the main features of ANNs are presented. Then, common techniques of the efficiency literature are reviewed: parametric (deterministic and stochastic) and non-parametric (Data Envelopment Analysis [DEA] and Free Disposal Hull [FDH]). ANNs are proposed for frontier approximation. Their advantages and drawbacks in the efficiency context are examined. Finally, these various methodologies are applied to refuse collection services using a sample of Spanish (Catalonian) municipalities. The results are compared with Pearson´s correlation and Spearman rank-correlation coefficients

Keywords: Neural Networks; Efficiency; DEA (search for similar items in EconPapers)
JEL-codes: C14 C45 H72 (search for similar items in EconPapers)
Date: 2004-08-11
New Economics Papers: this item is included in nep-cmp and nep-pbe
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