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Manipulable Congestion Tolls

Author

Listed:
  • Jan K. Brueckner

    (University of California, Irvine, USA)

  • Erik T. Verhoef

    (VU University Amsterdam)

Abstract

The recent literature on congestion pricing with large agents contains a remarkable inconsistency: though agents are large enough to recognize self-imposed congestion and exert market power over prices, they do not take into account the impact of their own actions on the magnitude of congestion tolls. When large agents are confronted with tolls derived under this parametric assumption but understand the rule used to generate them, the toll system will no longer guide the market to the social optimum. To address this problem, the present paper derives alternate, manipulable toll rules, which are designed to achieve the social optimum when agents anticipate the full impact of their actions on toll liabilities.

Suggested Citation

  • Jan K. Brueckner & Erik T. Verhoef, 2009. "Manipulable Congestion Tolls," Tinbergen Institute Discussion Papers 09-009/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20090009
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    References listed on IDEAS

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    9. Silva, Hugo E. & Verhoef, Erik T. & van den Berg, Vincent A.C., 2014. "Airline route structure competition and network policy," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 320-343.
    10. Verhoef, Erik T. & Silva, Hugo E., 2017. "Dynamic equilibrium at a congestible facility under market power," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 174-192.
    11. Vincent A.C. van den Berg & Erik T. Verhoef, 2011. "Is the Service Quality of Private Roads too Low, too High, or just Right when Firms compete Stackelberg in Capacity?," Tinbergen Institute Discussion Papers 11-079/3, Tinbergen Institute, revised 02 Aug 2012.
    12. Evangelinos, Christos, 2013. "Interessengruppen und Preissetzung im Verkehr," Discussion Papers 2/2013, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
    13. Doi, Naoshi & Kono, Tatsuhito & Suzaki, Izumo, 2023. "Optimizing Multiple Airport Charges with Endogenous Airline Quality Considering the Marginal Cost of Public Funds," MPRA Paper 116176, University Library of Munich, Germany.
    14. Achim I. Czerny & Kay Mitusch & Andreas Tanner, 2010. "Priority Rules Versus Scarcity Premiums in Rail Markets," WHU Working Paper Series - Economics Group 10-03, WHU - Otto Beisheim School of Management.
    15. Dixit, Aasheesh & Kumar, Patanjal & Jakhar, Suresh Kumar, 2022. "Effectiveness of carbon tax and congestion cost in improving the airline industry greening level and welfare: A case of two competing airlines," Journal of Air Transport Management, Elsevier, vol. 100(C).
    16. Brueckner, Jan K., 2009. "Price vs. quantity-based approaches to airport congestion management," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 681-690, June.
    17. Verhoef, Erik T., 2017. "Cost recovery of congested infrastructure under market power," Journal of Urban Economics, Elsevier, vol. 101(C), pages 45-56.
    18. Aravena, Olivia & Basso, Leonardo J. & Figueroa, Nicolás, 2019. "Effects of asymmetric information on airport congestion management mechanisms," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 4-27.
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    More about this item

    Keywords

    Congestion pricing; market power; aviation;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D62 - Microeconomics - - Welfare Economics - - - Externalities

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