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A Note on Price Asymmetry as Induced Technical Change

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  • Hillard G. Huntington

Abstract

This note evaluates whether fixed time effects (yearly dummy variables) are a better representation than separate price-decomposition terms for induced technical change in energy and oil demand. Fixed time effects are a proxy for all omitted variables that change similarly over time for all countries. Many of these omitted variables have little relevance to technical change. Empirically, statistical tests applied to previous studies reject an important premise of the fixed-time-effect model that energy or oil demand responds symmetrically to price increases and decreases. Moreover, when price-decomposition techniques allow for price-asymmetric responses, the estimated income elasticities are not dramaticalxly different from their fixed-time-effect counterparts, as it is sometimes alleged. There are also practical reasons for choosing models that allow for asymmetric responses to price, especially when evaluating the longrun implications of a number of important energy and environmental issues.

Suggested Citation

  • Hillard G. Huntington, 2006. "A Note on Price Asymmetry as Induced Technical Change," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-8.
  • Handle: RePEc:aen:journl:2006v27-03-a01
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    Cited by:

    1. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, pages 693-709.
    2. Olaniyan, Monisola J. & Evans, Joanne, 2014. "The importance of engaging residential energy customers' hearts and minds," Energy Policy, Elsevier, vol. 69(C), pages 273-284.
    3. Parker, Steven & Liddle, Brantley, 2016. "Energy efficiency in the manufacturing sector of the OECD: Analysis of price elasticities," Energy Economics, Elsevier, vol. 58(C), pages 38-45.
    4. repec:zbw:rwirep:0276 is not listed on IDEAS
    5. Adeyemi, Olutomi I. & Hunt, Lester C., 2014. "Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand," Energy Economics, Elsevier, pages 435-444.
    6. Adeyemi, Olutomi I. & Broadstock, David C. & Chitnis, Mona & Hunt, Lester C. & Judge, Guy, 2010. "Asymmetric price responses and the underlying energy demand trend: Are they substitutes or complements? Evidence from modelling OECD aggregate energy demand," Energy Economics, Elsevier, vol. 32(5), pages 1157-1164, September.
    7. 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.
    8. Manuel Frondel and Colin Vance, 2013. "Re-Identifying the Rebound: What About Asymmetry?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    9. 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.
    10. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    11. Manuel Frondel & Colin Vance, 2011. "Re-Identifying the Rebound – What About Asymmetry?," Ruhr Economic Papers 0276, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Huntington, Hillard G., 2010. "Short- and long-run adjustments in U.S. petroleum consumption," Energy Economics, Elsevier, vol. 32(1), pages 63-72, January.
    13. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    14. Adofo, Yaw Osei & Evans, Joanne & Hunt, Lester Charles, 2013. "How sensitive to time period sampling is the asymmetric price response specification in energy demand modelling?," Energy Economics, Elsevier, pages 90-109.
    15. Arthur A. van Benthem, 2015. "Energy Leapfrogging," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 93-132.
    16. David C Broadstock & Lester C Hunt, 2013. "Tying up loose ends: A note on the impact of omitting MA residuals from panel energy demand models based on the Koyck lag transformation," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 140, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    17. Sofronis Clerides & Theodoros Zachariadis, 2006. "Are standards Effective in Improving Automobile Fuel Economy?," University of Cyprus Working Papers in Economics 6-2006, University of Cyprus Department of Economics.

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