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Pricing of Transport Networks, Redistribution and Optimal Taxation

  • Russo, Antonio

We study optimal pricing of roads and public transport in presence of nonlinear in- come taxation. Individuals are heterogeneous in unobservable earning ability. Optimal transport tarifs depend on time costs of travel and work schedule adjustments (days and hours worked per day) as a response to commuting costs. We find that discounts for low income individuals are optimal only if the time cost of a trip is small enough. Lower travel time costs facilitate screening: therefore, redistribution provides an additional motive for congestion pricing. Finally, we investigate the desirability of means-testing of transport tarifs.

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Paper provided by Toulouse School of Economics (TSE) in its series TSE Working Papers with number 12-353.

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Date of creation: Nov 2012
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Handle: RePEc:tse:wpaper:25766
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  1. Estupinan, Nicolas & Gomez-Lobo, Andres & Munoz-Raskin, Ramon & Serebrisky,Tomas, 2007. "Affordability and subsidies in public urban transport : what do we mean, what can be done?," Policy Research Working Paper Series 4440, The World Bank.
  2. Batarce, Marco & Ivaldi, Marc, 2010. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," IDEI Working Papers 659, Institut d'Économie Industrielle (IDEI), Toulouse, revised Apr 2011.
  3. Batarce, Marco & Ivaldi, Marc, 2011. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," CEPR Discussion Papers 8416, C.E.P.R. Discussion Papers.
  4. Boadway, Robin & Keen, Michael, 1993. "Public Goods, Self-Selection and Optimal Income Taxation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(3), pages 463-78, August.
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  8. Louis Kaplow, 2006. "Optimal Control of Externalities in the Presence of Income Taxation," NBER Working Papers 12339, National Bureau of Economic Research, Inc.
  9. Cremer, Helmuth & Gahvari, Firouz & Ladoux, Norbert, 1998. "Externalities and optimal taxation," Journal of Public Economics, Elsevier, vol. 70(3), pages 343-364, December.
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  11. Jukka Pirttilä & Matti Tuomala, 1997. "Income Tax, Commodity Tax and Environmental Policy," International Tax and Public Finance, Springer, vol. 4(3), pages 379-393, July.
  12. De Borger, Bruno & Wuyts, Bart, 2011. "The structure of the labor market, telecommuting, and optimal peak period congestion tolls: A numerical optimization model," Regional Science and Urban Economics, Elsevier, vol. 41(5), pages 426-438, September.
  13. Eva Gutiérrez-i-Puigarnau & Jos van Ommeren, 2009. "Labour Supply and Commuting," SOEPpapers on Multidisciplinary Panel Data Research 222, DIW Berlin, The German Socio-Economic Panel (SOEP).
  14. Atkinson, A. B. & Stiglitz, J. E., 1976. "The design of tax structure: Direct versus indirect taxation," Journal of Public Economics, Elsevier, vol. 6(1-2), pages 55-75.
  15. Cremer, Helmuth & Gahvari, Firouz, 2002. " Nonlinear Pricing, Redistribution, and Optimal Tax Policy," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 4(2), pages 139-61.
  16. Borger, Bruno De, 2011. "Optimal congestion taxes in a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 79-95, January.
  17. Firouz Gahvari, 2007. "On Optimal Commodity Taxes When Consumption Is Time Consuming," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 9(1), pages 1-27, 02.
  18. Kurt Van Dender, 2003. "Transport Taxes with Multiple Trip Purposes," Scandinavian Journal of Economics, Wiley Blackwell, vol. 105(2), pages 295-310, 06.
  19. Lindsey, Robin & Wang, Judith & Yang, Hai, 2010. "Nonlinear Pricing on Private Roads with Congestion and Toll Collection Costs," Working Papers 2010-3, University of Alberta, Department of Economics.
  20. Batarce, Marco & Ivaldi, Marc, 2010. "Travel Demand Model with Heterogeneous Users and Endogenous Congestion: An application to optimal pricing of bus services," TSE Working Papers 10-226, Toulouse School of Economics (TSE), revised Apr 2011.
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