IDEAS home Printed from https://ideas.repec.org/p/ide/wpaper/559.html
   My bibliography  Save this paper

Railway (De) Regulation : A European Efficiency Comparison

Author

Listed:
  • Friebel, Guido
  • Ivaldi, Marc
  • Vibes, Catherine

Abstract

Many European countries have sought to increase the efficiency of national railroad companies through a range of reforms: separating infrastructure and operations, creating independent regulatory institutions and providing access to the network to third parties. To estimate the effects of reforms on railroad efficiency, we investigate a new World Bank panel dataset that covers many EU countries over a period of 20 years. We compare the passenger traffic efficiency of national railroad companies by means of a production frontier model and evaluate the effects of reforms on efficiency. We find that reforms have efficiency-increasing effects but that the effect of reforms depends on sequencing: the introduction of multiple reforms in a package has at best neutral effects, but sequential reforms improve efficiency. Using the LISREL technique, we find that our results are robust against potential problems of endogeneity.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Friebel, Guido & Ivaldi, Marc & Vibes, Catherine, 2003. "Railway (De) Regulation : A European Efficiency Comparison," IDEI Working Papers 221, Institut d'Économie Industrielle (IDEI), Toulouse, revised 2007.
  • Handle: RePEc:ide:wpaper:559
    as

    Download full text from publisher

    File URL: http://idei.fr/sites/default/files/medias/doc/wp/2003/report_idei_3.pdf
    File Function: Full text
    Download Restriction: no

    File URL: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=505302
    File Function: Link SSRN
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dewatripont, Mathias & Roland, Gerard, 1995. "The Design of Reform Packages under Uncertainty," American Economic Review, American Economic Association, vol. 85(5), pages 1207-1223, December.
    2. Gathon, H. -J. & Pestieau, P., 1995. "Decomposing efficiency into its managerial and its regulatory components: The case of European railways," European Journal of Operational Research, Elsevier, vol. 80(3), pages 500-507, February.
    3. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    4. Pedro Cantos & José Pastor & Lorenzo Serrano, 1999. "Productivity, efficiency and technical change in the European railways: A non-parametric approach," Transportation, Springer, vol. 26(4), pages 337-357, November.
    5. Ng, Charles K & Seabright, Paul, 2001. "Competition, Privatisation and Productive Efficiency: Evidence from the Airline Industry," Economic Journal, Royal Economic Society, vol. 111(473), pages 591-619, July.
    6. Florens, Jean-Pierre & Ivaldi, Marc & Larribeau, Sophie, 1996. "Sobolev Estimation of Approximate Regressions," Econometric Theory, Cambridge University Press, vol. 12(05), pages 753-772, December.
    7. Ivaldi, Marc & Monier-Dilhan, Sylvette & Simioni, Michel, 1995. "Stochastic production frontiers and panel data: A latent variable framework," European Journal of Operational Research, Elsevier, vol. 80(3), pages 534-547, February.
    8. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    9. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ide:wpaper:559. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/idtlsfr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.