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Delivery Offices Cost Frontier: A Robust Non Parametric Approach with Exogenous Variables

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Author Info
Catherine Cazals () (Toulouse School of Economics)
Paul Dudley (Royal Mail Group)
Jean-Pierre Florens (Toulouse School of Economics)
Shital Patel (Royal Mail Group)
Frank Rodriguez (Royal Mail Group)

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Abstract

This paper deals with an analysis of the efficiency of delivery post offices from an estimated cost frontier. Our focus is to apply a robust non parametric approach for the cost frontier estimation, called the order-m frontier, based on the concept of "expected minimum cost" and to extend it to take into account some environmental variables. We illustrate our approach using a cross-section data set on delivery offices.

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Publisher Info
Article provided by Concept Economics in its journal Review of Network Economics.

Volume (Year): 7 (2008)
Issue (Month): 2 (June)
Pages: 294-308
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:rne:rneart:v:7:y:2008:i:2:p:294-308

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Related research
Keywords: efficiency analysis; robust nonparametric frontier; cost frontier;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January. [Downloadable!] (restricted)
  2. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  3. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. [Downloadable!] (restricted)
  4. Cinzia Daraio & Leopold Simar, 2003. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," LEM Papers Series 2003/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
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  5. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May. [Downloadable!] (restricted)
  6. Simar, L., 1991. "Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with boot strapping," CORE Discussion Papers 1991026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany. [Downloadable!]
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