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Endogenous Scheduling Preferences and Congestion

  • Mogens Fosgerau

    ()

    (Technical University of Denmark and Centre for Transport Studies, Sweden)

  • Kenneth Small

    ()

    (Department of Economics, University of California-Irvine)

We seek to better understand the scheduling of activities in time through a dynamic model of commuting with congestion, in which workers care solely about leisure and consumption. Implicit preferences for the timing of the commute form endogenously due to concave preferences and temporal agglomeration economies. Equilibrium exists uniquely and is indistinguishable from that of a generalized version of the classical Vickrey bottleneck model, based on exogenous trip-timing preferences; but optimal policies differ: the Vickrey model will under-predict the benefits of congestion pricing, and such pricing may make people better off even without considering the use of revenues.

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File URL: http://www.economics.uci.edu/files/docs/workingpapers/2013-14/13-14-03.pdf
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Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 131403.

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Length: 42 pages
Date of creation: Jan 2013
Date of revision: May 2014
Handle: RePEc:irv:wpaper:131403
Contact details of provider: Postal: Irvine, CA 92697-3125
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Web page: http://www.economics.uci.edu/

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  1. Eva Gutierrez-i-Puigarnau & Jos N. van Ommeren, 2010. "Start Time and Worker Compensation: Implications for Staggered-Hours Programs," Tinbergen Institute Discussion Papers 10-073/3, Tinbergen Institute.
  2. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," NBER Working Papers 14806, National Bureau of Economic Research, Inc.
  3. Arnott, Richard, 2007. "Congestion tolling with agglomeration externalities," Journal of Urban Economics, Elsevier, vol. 62(2), pages 187-203, September.
  4. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
  5. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
  6. André De Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
  7. Richard Arnott & Andre de Palma & Robin Lindsey, 1985. "Economics of a Bottleneck," Working Papers 636, Queen's University, Department of Economics.
  8. Starrett, David A., 1974. "Principles of optimal location in a large homogeneous area," Journal of Economic Theory, Elsevier, vol. 9(4), pages 418-448, December.
  9. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-99, June.
  10. Anas, Alex & Kim, Ikki, 1996. "General Equilibrium Models of Polycentric Urban Land Use with Endogenous Congestion and Job Agglomeration," Journal of Urban Economics, Elsevier, vol. 40(2), pages 232-256, September.
  11. Helsley, Robert W. & Sullivan, Arthur M., 1991. "Urban subcenter formation," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 255-275, July.
  12. Henderson, J. Vernon, 1981. "The economics of staggered work hours," Journal of Urban Economics, Elsevier, vol. 9(3), pages 349-364, May.
  13. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-79, March.
  14. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171 Elsevier.
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