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A Meta-Analysis of Price Elasticities of Transport Demand in a General Equilibrium Framework

Listed author(s):
  • Hans Kremers

    (Vrije Universiteit Amsterdam)

  • Peter Nijkamp

    ()

    (Vrije Universiteit Amsterdam)

  • Piet Rietveld

    ()

    (Master-Point, Vrije Universiteit Amsterdam)

Price elasticities of transport demand are an important tool toassess the impacts of pricing policies. Empirical research on these elasticitiesleads to a rather wide range of outcomes. There is obviously a need for a morerigorous methodological framework. This paper provides a new integrativeapproach to the estimation of price elasticities while taking into account anycombination of characteristics of transport demand found in various empiricalstudies. To this end, we apply meta-analysis to this set of studies. From the variousmodelling approaches that underly these studies we develop an overlappinggeneral equilibrium framework that provides a meta-regression equationrelating the price elasticity estimate to the study characteristics.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 00-060/3.

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Date of creation: 31 Jul 2000
Handle: RePEc:tin:wpaper:20000060
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  1. Oum, Tae H. & Gillen, David W., 1983. "The structure of intercity travel demands in Canada: Theory tests and empirical results," Transportation Research Part B: Methodological, Elsevier, vol. 17(3), pages 175-191, June.
  2. Selvanathan, E. A. & Selvanathan, Saroja, 1994. "The demand for transport and communication in the United Kingdom and Australia," Transportation Research Part B: Methodological, Elsevier, vol. 28(1), pages 1-9, February.
  3. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
  4. Abdelwahab, Walid M., 1998. "Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(4), pages 257-266, December.
  5. Kremers, Hans & Nijkamp, Peter & Rietveld, Piet, 1999. "The scope of meta-analysis for transport policy impact analysis in environmental economics," Serie Research Memoranda 0034, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  6. Reggiani, Aura & Nijkamp, Peter & Sabella, Enrico, 2001. "New advances in spatial network modelling: Towards evolutionary algorithms," European Journal of Operational Research, Elsevier, vol. 128(2), pages 385-401, January.
  7. Anas, Alex & Moses, Leon N, 1984. "Qualitative Choice and the Blending of Discrete Alternatives," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 547-555, November.
  8. Friedlaender, Ann F & Spady, Richard H, 1980. "A Derived Demand Function for Freight Transportation," The Review of Economics and Statistics, MIT Press, vol. 62(3), pages 432-441, August.
  9. Fridström, Lasse & Thune-Larsen, Harald, 1989. "An econometric air travel demand model for the entire conventional domestic network: The case of Norway," Transportation Research Part B: Methodological, Elsevier, vol. 23(3), pages 213-223, June.
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