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Stochastic Frontiers and Asymmetric Information Models

Author

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  • Gagnepain, P.
  • Ivaldi, M.

Abstract

This article suggests that the global inefficiency which generally affects a production process is endogenous and depends on the incentives generated by the process environment. We propose to treat the usual correlation between the inefficiency and the regressors of the production frontier through the economic constraints that interfere on the activity of the producer.

Suggested Citation

  • Gagnepain, P. & Ivaldi, M., 1998. "Stochastic Frontiers and Asymmetric Information Models," Papers 98.503, Toulouse - GREMAQ.
  • Handle: RePEc:fth:gremaq:98.503
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    References listed on IDEAS

    as
    1. 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.
    2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    3. Loeb, Martin & Magat, Wesley A, 1979. "A Decentralized Method for Utility Regulation," Journal of Law and Economics, University of Chicago Press, vol. 22(2), pages 399-404, October.
    4. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    5. 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.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. 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.
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    Citations

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    Cited by:

    1. de Borger, Bruno & Kerstens, Kristiaan & Staat, Matthias, 2008. "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers," Research in Transportation Economics, Elsevier, vol. 23(1), pages 53-64, January.
    2. Guerino Ardizzi, 2003. "Cost efficiency in the retail payment networks: first evidence from the Italian credit card system," Temi di discussione (Economic working papers) 480, Bank of Italy, Economic Research and International Relations Area.
    3. Beniamina Margari & Fabrizio Erbetta & Carmelo Petraglia & Massimiliano Piacenza, 2007. "Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach," Journal of Regulatory Economics, Springer, vol. 32(2), pages 131-151, October.
    4. Philippe Gagnepain & Marc Ivaldi, 2002. "Incentive Regulatory Policies: The Case of Public Transit Systems in France," RAND Journal of Economics, The RAND Corporation, vol. 33(4), pages 605-629, Winter.
    5. Cinzia Daraio & Marco Diana & Flavia Di Costa & Claudio Leporelli & Giorgio Matteucci & Alberto Nastasi, 2014. "Efficiency and effectiveness in the urban public transport sector: a critical review with directions for future research," DIAG Technical Reports 2014-14, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    6. Leonardo J. Basso & Sergio R. Jara-Díaz & William G. Waters, 2011. "Cost Functions for Transport Firms," Chapters,in: A Handbook of Transport Economics, chapter 12 Edward Elgar Publishing.
    7. Massimiliano Piacenza, 2002. "Regulatory Constraints and Cost Efficiency of the Italian Public Transit Systems: An Exploratory Stochastic Frontier Model," CERIS Working Paper 200202, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.
    8. Huang, Di & Liu, Zhiyuan & Liu, Pan & Chen, Jun, 2016. "Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 1-19.
    9. Gagnepain, Philippe & Marin, Pedro L, 2006. "Regulation and Incentives in European Aviation," Journal of Law and Economics, University of Chicago Press, vol. 49(1), pages 229-248, April.
    10. Francesco, Gastaldi & Lucia, Quaglino & Carlo, Stagnaro, 2012. "Il trasporto pubblico locale e la concorrenza. Cambiare paradigma per salvare il servizio: il caso ligure
      [Local Public Transportation and Competition. Changing Paradigm to Save the Service: The Ca
      ," MPRA Paper 49464, University Library of Munich, Germany.
    11. Philippe Gagnepain & Marc Ivaldi & Catherine Muller-Vibes, 2011. "The Industrial Organization of Competition in Local Bus Services," Chapters,in: A Handbook of Transport Economics, chapter 32 Edward Elgar Publishing.
    12. Philippe Gagnepain, 2001. "La nouvelle théorie de la régulation des monopoles naturels : fondements et tests," Post-Print hal-00622947, HAL.
    13. Augustin, Katrin & Walter, Matthias, 2010. "Operator changes through competitive tendering: Empirical evidence from German local bus transport," Research in Transportation Economics, Elsevier, vol. 29(1), pages 36-44.
    14. Massimiliano Piacenza, 2000. "The Public Transit Systems In Italy: A Critical Analysis Of The Regulatory Framework," CERIS Working Paper 200016, Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY -NOW- Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY.

    More about this item

    Keywords

    ASYMETRIC INFORMATION ; REGULATION ; TRANSPORT ; ECONOMIC MODELS;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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