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Unobserved Heterogeneity and International Benchmarking in Public Trasport

Author

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  • Cullmann, Astrid

    (DIW Berlin (German Institute for Economic Research), Germany)

  • Farsi, Mehdi

    (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology, and Economics, ETH Zürich, Switzerland)

  • Filippini Massimo

    (Istituto Mecop, Facoltà di Scienze economiche, Università della Svizzera italiana, Svizzera)

Abstract

We analyze the technical efficiency of German and Swiss urban public transport companies by means of SFA. In transport networks we might face different network structures or complexities, not observed, but influencing the production process. The unobserved factors are typically modeled as separable factors. However, we argue that the entire production process is organized around different network structures. Therefore, they are inevitably non-separable from the observed inputs and outputs. The adopted econometric model is a random coefficient stochastic frontier model. We estimate an input distance function for the years 1991 to 2006. The results underline the presence of unobserved non-separable factors.

Suggested Citation

  • Cullmann, Astrid & Farsi, Mehdi & Filippini Massimo, 2009. "Unobserved Heterogeneity and International Benchmarking in Public Trasport," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0904, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpaper:0904
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    1. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
    2. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    3. Dag Dalen & Andres Gómez-Lobo, 2003. "Yardsticks on the road: Regulatory contracts and cost efficiency in the Norwegian bus industry," Transportation, Springer, vol. 30(4), pages 371-386, November.
    4. Hensher, David A., 2007. "Bus transport: Economics, policy and planning," Research in Transportation Economics, Elsevier, vol. 18(1), pages 1-507, January.
    5. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-286, July.
    6. Antonio Estache & MartÌn A. Rossi & Christian A. Ruzzier, 2004. "The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America," Journal of Regulatory Economics, Springer, vol. 25(3), pages 271-295, May.
    7. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    8. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    9. Bruno De Borger & Kristiaan Kerstens & Álvaro Costa, 2002. "Public transit performance: What does one learn from frontier studies?," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 1-38, January.
    10. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    11. David Saal & David Parker & Tom Weyman-Jones, 2007. "Determining the contribution of technical change, efficiency change and scale change to productivity growth in the privatized English and Welsh water and sewerage industry: 1985–2000," Journal of Productivity Analysis, Springer, vol. 28(1), pages 127-139, October.
    12. William Greene, 2003. "A Interpreting Estimated Parameters and Measuring Individual Heterogeneity in Random Coefficient Models," Working Papers 03-19, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," Journal of Regulatory Economics, Springer, vol. 28(1), pages 69-90, July.
    14. 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.
    15. Andrea Boitani & Carlo Cambini, 2002. "Il trasporto pubblico locale in Italia. Dopo la riforma i difficili albori di un mercato," Mercato Concorrenza Regole, Società editrice il Mulino, issue 1, pages 45-72.
    16. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    17. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    18. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    19. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
    20. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    21. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    22. DE BORGER, Bruno & KERSTENS, Kristiaan & COSTA, Álvaro, "undated". "Public transit performance: What do we learn from frontier studies?," Working Papers 2000019, University of Antwerp, Faculty of Business and Economics.
    23. Viton, Philip A., 1992. "Consolidations of scale and scope in urban transit," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 25-49, March.
    24. Bill Greene with Antonio Alvarez (Univ. of Oviedo) & Carlos Arias (Univ. of Leon), 2004. "Accounting For Unobservables In Production Models: Management And Inefficiency," Econometric Society 2004 Australasian Meetings 341, Econometric Society.
    25. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Economies of Scale and Scope in Local Public Transportation," Journal of Transport Economics and Policy, University of Bath, vol. 41(3), pages 345-361, September.
    26. Klemperer, Paul, 1999. " Auction Theory: A Guide to the Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 13(3), pages 227-86, July.
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    Cited by:

    1. George Elias, 2016. "Benchmarking Heterogeneous Distribution System Operators: Evidence from Norway," Diskussionsschriften dp1606, Universitaet Bern, Departement Volkswirtschaft.

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    More about this item

    Keywords

    distance function; unobserved heterogeneity; technical efficiency; bus industry; panel data;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L43 - Industrial Organization - - Antitrust Issues and Policies - - - Legal Monopolies and Regulation or Deregulation
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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