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A Note on Price Asymmetry as Induced Technical Change

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  • Hillard G. Huntington
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    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.

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    Bibliographic Info

    Article provided by International Association for Energy Economics in its journal The Energy Journal.

    Volume (Year): Volume 27 (2006)
    Issue (Month): Number 3 ()
    Pages: 1-8

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    Handle: RePEc:aen:journl:2006v27-03-a01

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    Cited by:
    1. 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, vol. 40(C), pages 90-109.
    2. 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.
    3. 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.
    4. Huntington, Hillard G., 2010. "Short- and long-run adjustments in U.S. petroleum consumption," Energy Economics, Elsevier, vol. 32(1), pages 63-72, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Olutomi I Adeyemi & Lester C. Hunt, 2013. "Accounting for asymmetric price responses and underlying energy demand trends in OECD industrial energy demand," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 142, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    10. 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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