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An investigation of the impacts of economic conditions on vehicle miles traveled: a vector error-correction approach

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  • Sikka, Nikhil
  • Sun, Jielin

Abstract

In this paper, we estimate the long-run gasoline price and income elasticity of VMT for the period 2000-2008. Most of the previous studies use the very common classes of time series methods that are the autoregressive integrated moving average (ARIMA) models. We advance the analytical framework to include a vector error-correction (VEC) regression technique that overcomes several limitations of ARIMA models. We find that long-run gasoline price elasticity to VMT ranges from -0.31 to -0.88, and income elasticity ranges from 0.18 to 0.49.

Suggested Citation

  • Sikka, Nikhil & Sun, Jielin, 2009. "An investigation of the impacts of economic conditions on vehicle miles traveled: a vector error-correction approach," 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 207734, Transportation Research Forum.
    • Handle: RePEc:ags:ndtr09:207734
    DOI: 10.22004/ag.econ.207734
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    References listed on IDEAS

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    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    3. Carol A. Dahl, 1986. "Gasoline Demand Survey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 67-82.
    4. Clifton T Jones, 1993. "Another Look at U.S. Passenger Vehicle Use and the 'Rebound' Effect from Improved Fuel Efficiency," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 99-110.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. David L. Greene, 1992. "Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 117-144.
    7. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    8. Kayser, Hilke A., 2000. "Gasoline demand and car choice: estimating gasoline demand using household information," Energy Economics, Elsevier, vol. 22(3), pages 331-348, June.
    9. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
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