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Worksharing: A Calibrated Model

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Author Info
Etienne Billette De Villemeur () (Toulouse School of Economics (IDEI and GREMAQ))
Helmuth Cremer (Toulouse School of Economics (IDEI and GREMAQ))
Francois Boldron (La Poste)
Bernard Roy (La Poste)

Additional information is available for the following registered author(s):

Abstract

This paper studies the price structure in a postal sector with a monopolistic operator when customers can engage in worksharing. It presents simulation results obtained from an empirical model that is calibrated on data from the French postal sector. The optimal worksharing discount is significantly larger than the avoided costs. Consequently, the appropriate pricing structure differs markedly from the often recommended ECPR policy.

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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: 272-293
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:272-293

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Related research
Keywords: Postal Sector; Worksharing; Calibration and Regulation;

References listed on IDEAS
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  1. E. Villemeur & Helmuth Cremer & Bernard Roy & Joëlle Toledano, 2007. "Worksharing, access and bypass: the structure of prices in the postal sector," Journal of Regulatory Economics, Springer, vol. 32(1), pages 67-85, August. [Downloadable!] (restricted)
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  2. Billette de Villemeur, Etienne, et al, 2003. "Optimal Pricing and Price-Cap Regulation in the Postal Sector," Journal of Regulatory Economics, Springer, vol. 24(1), pages 49-62, July. [Downloadable!] (restricted)
  3. Cremer, Helmuth, et al, 2001. "Entry and Competition in the Postal Market: Foundations for the Construction of Entry Scenarios," Journal of Regulatory Economics, Springer, vol. 19(2), pages 107-21, March. [Downloadable!] (restricted)
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This page was last updated on 2009-11-16.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.