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

  • Cazals Catherine

    ()

    (Toulouse School of Economics)

  • Dudley Paul

    (Royal Mail Group)

  • Florens Jean-Pierre

    (Toulouse School of Economics)

  • Patel Shital

    (Royal Mail Group)

  • Rodriguez Frank

    (Royal Mail Group)

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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Article provided by De Gruyter in its journal Review of Network Economics.

Volume (Year): 7 (2008)
Issue (Month): 2 (June)
Pages: 1-15

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Handle: RePEc:bpj:rneart:v:7:y:2008:i:2:n:7
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  1. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
  2. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, 09.
  3. 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.
  4. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, March.
  5. repec:cup:cbooks:9780521586115 is not listed on IDEAS
  6. 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.
  7. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
  8. repec:cup:cbooks:9780521355643 is not listed on IDEAS
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