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Backcasting U.S. oil demand over a turbulent decade

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  • Huntington, Hillard G.

Abstract

This paper compares 10-year backcast projections of U.S. petroleum consumption for the 2000-2009 period based upon a range of functional forms. Although a univariate specification based upon only lagged consumption performed better than most approaches, it provides little value to the policymaker who wants to understand the factors that influence oil consumption and by how much. One structural approach performed considerably better than all other approaches including the univariate model. This specification is the autoregressive distributed lag (ADL) model that allowed oil demand to respond differently (asymmetrically) to price increases and decreases. Certain forms of this equation, however, do well while others perform poorly. Evaluations of backcast projections over different periods and updated frequently can be important byproducts of energy modeling.

Suggested Citation

  • Huntington, Hillard G., 2011. "Backcasting U.S. oil demand over a turbulent decade," Energy Policy, Elsevier, vol. 39(9), pages 5674-5680, September.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:9:p:5674-5680
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    1. Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003. "Underlying trends and seasonality in UK energy demand: a sectoral analysis," Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
    2. Dargay, Joyce & Gately, Dermot, 1997. "The demand for transportation fuels: Imperfect price-reversibility?," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 71-82, February.
    3. repec:aen:journl:2008v29-01-a06 is not listed on IDEAS
    4. Ryan, David L. & Plourde, Andre, 2002. "Smaller and smaller? The price responsiveness of nontransport oil demand," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 285-317.
    5. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    6. repec:aen:journl:2005v26-01-a03 is not listed on IDEAS
    7. James L. Smith, 2009. "World Oil: Market or Mayhem?," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 145-164, Summer.
    8. Hillard Huntington, 2010. "Oil demand and technical progress," Applied Economics Letters, Taylor & Francis Journals, vol. 17(18), pages 1747-1751.
    9. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    10. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    11. Dargay, Joyce M. & Gately, Dermot, 2010. "World oil demand's shift toward faster growing and less price-responsive products and regions," Energy Policy, Elsevier, vol. 38(10), pages 6261-6277, October.
    12. repec:aen:journl:2005v26-02-a01 is not listed on IDEAS
    13. Winebrake, James J. & Sakva, Denys, 2006. "An evaluation of errors in US energy forecasts: 1982-2003," Energy Policy, Elsevier, vol. 34(18), pages 3475-3483, December.
    14. repec:aen:journl:1998v19-04-a04 is not listed on IDEAS
    15. Beenstock, Michael & Wilcocks, Patrick, 1983. "Energy and economic activity: a reply to Kouris," Energy Economics, Elsevier, vol. 5(3), pages 212-212, July.
    16. Dargay, Joyce & Gately, Dermot, 1995. "The imperfect price reversibility of non-transport oil demand in the OECD," Energy Economics, Elsevier, vol. 17(1), pages 59-71, January.
    17. repec:aen:journl:2002v23-01-a02 is not listed on IDEAS
    18. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
    19. Duy, Timothy A. & Thoma, Mark A., 1998. "Modeling and Forecasting Cointegrated Variables: Some Practical Experience," Journal of Economics and Business, Elsevier, vol. 50(3), pages 291-307, May.
    20. Huntington, Hillard G., 2010. "Short- and long-run adjustments in U.S. petroleum consumption," Energy Economics, Elsevier, vol. 32(1), pages 63-72, January.
    21. repec:aen:journl:1994si-a03 is not listed on IDEAS
    22. Fischer, Carolyn & Herrnstadt, Evan & Morgenstern, Richard, 2009. "Understanding errors in EIA projections of energy demand," Resource and Energy Economics, Elsevier, vol. 31(3), pages 198-209, August.
    23. Beenstock, M. & Willcocks, P., 1981. "Energy consumption and economic activity in industrialized countries : The dynamic aggregate time series relationship," Energy Economics, Elsevier, vol. 3(4), pages 225-232, October.
    24. O'Neill, Brian C. & Desai, Mausami, 2005. "Accuracy of past projections of US energy consumption," Energy Policy, Elsevier, vol. 33(8), pages 979-993, May.
    25. repec:aen:journl:2003v24-03-a03 is not listed on IDEAS
    26. Dees, Stephane & Karadeloglou, Pavlos & Kaufmann, Robert K. & Sanchez, Marcelo, 2007. "Modelling the world oil market: Assessment of a quarterly econometric model," Energy Policy, Elsevier, vol. 35(1), pages 178-191, January.
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    2. Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2018. "Oil Price Forecasts For The Long Term: Expert Outlooks, Models, Or Both?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 581-599, April.
    3. Lee, Chien-Chiang & Chiu, Yi-Bin, 2013. "Modeling OECD energy demand: An international panel smooth transition error-correction model," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 372-383.

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