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Heterogeneity in the Rebound Eff ect – Further Evidence for Germany

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  • Manuel Frondel

    ()

  • Nolan Ritter
  • Colin Vance

Abstract

Rebound effects measure the behaviorally induced offset in the reduction of energy consumption following efficiency improvements. Using both panel estimation and quantile-regression methods on household travel diary data collected in Germany between 1997 and 2009, this study investigates the heterogeneity of the rebound effect in private transport. With the average rebound effect being in the range of 57% to 62%, our results are in line with a recent German study by FRONDEL, PETERS, and VANCE (2008), but are substantially larger than those obtained from other studies. Furthermore, our quantile-regression results indicate that the magnitude of estimated fuel price elasticities – from which rebound effects can be derived – depends inversely on the household’s driving intensity: Households with low vehicle mileage exhibit fuel price elasticities, and hence rebound effects, that are significantly larger than those for households with high vehicle mileage.

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Bibliographic Info

Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0227.

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Length: 28 pages
Date of creation: Nov 2010
Date of revision:
Handle: RePEc:rwi:repape:0227

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Keywords: Automobile travel; rebound effect; panel models; quantile regression;

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References

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  1. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  2. Zia Wadud & Daniel J. Graham & Robert B. Noland, 2010. "Gasoline Demand with Heterogeneity in Household Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 47-74.
  3. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
  4. 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.
  5. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
  6. Frondel, Manuel & Schmidt, Christoph M. & Vance, Colin, 2011. "A regression on climate policy: The European Commission’s legislation to reduce CO2 emissions from automobiles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1043-1051.
  7. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
  8. Frondel, Manuel & Vance, Colin, 2010. "Driving for fun? Comparing the effect of fuel prices on weekday and weekend fuel consumption," Energy Economics, Elsevier, vol. 32(1), pages 102-109, January.
  9. Brookes, Leonard, 2000. "Energy efficiency fallacies revisited," Energy Policy, Elsevier, vol. 28(6-7), pages 355-366, June.
  10. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
  11. Manuel Frondel & Colin Vance, 2010. "Fixed, Random, or Something in Between? – A Variant of HAUSMAN’s Specifi cation Test for Panel Data Estimators," Ruhr Economic Papers 0160, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  12. Robert W. Crandall, 1992. "Policy Watch: Corporate Average Fuel Economy Standards," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 171-180, Spring.
  13. West, Sarah E., 2004. "Distributional effects of alternative vehicle pollution control policies," Journal of Public Economics, Elsevier, vol. 88(3-4), pages 735-757, March.
  14. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 36(1), pages 1-25, January.
  15. Sterner, Thomas, 2007. "Fuel taxes: An important instrument for climate policy," Energy Policy, Elsevier, vol. 35(6), pages 3194-3202, June.
  16. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September.
  17. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
  18. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
  19. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
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Citations

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Cited by:
  1. Klier, Thomas & Linn, Joshua, 2011. "Fuel Prices and New Vehicle Fuel Economy in Europe," Discussion Papers dp-11-37, Resources For the Future.
  2. Nolan Ritter, 2012. "Beyond the Average Elasticity – Applying Quantile Panel Regression to German Household Mobility Data," Ruhr Economic Papers 0392, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  3. Nolan Ritter & Christoph M. Schmidt & Colin Vance, 2013. "How Full Is the tank? – Insights on Short-run Fuel Price Reactions from German Travel Diary Data," Ruhr Economic Papers 0401, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  4. Costolanski, Peter & Elahi, Raihan & Iimi, Atsushi & Kitchlu, Rahul, 2013. "Impact evaluation of free-of-charge CFL bulb distribution in Ethiopia," Policy Research Working Paper Series 6383, The World Bank.
  5. Schleich, Joachim & Mills, Bradford & Dütschke, Elisabeth, 2014. "A brighter future? Quantifying the rebound effect in energy efficient lighting," Working Papers "Sustainability and Innovation" S3/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
  6. Manuel Frondel & Colin Vance, 2013. "Fuel Taxes versus Efficiency Standards – An Instrumental Variable Approach," Ruhr Economic Papers 0445, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  7. Linn, Joshua, 2013. "The Rebound Effect for Passenger Vehicles," Discussion Papers dp-13-19-rev, Resources For the Future.
  8. Jens Boysen-Hogrefe, 2013. "Der Einfluss des Erdölpreises auf die Energiesteuerprognose," Kiel Working Papers 1849, Kiel Institute for the World Economy.
  9. Klier, Thomas & Linn, Joshua, 2013. "Fuel prices and new vehicle fuel economy—Comparing the United States and Western Europe," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 280-300.
  10. Richard Blundell & Joel Horowitz & Matthias Parey, 2013. "Nonparametric estimation of a heterogeneous demand function under the Slutsky inequality restriction," CeMMAP working papers CWP54/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  11. repec:hal:gemwpa:hal-00991732 is not listed on IDEAS
  12. Koesler, Simon, 2013. "Catching the rebound: Economy-wide implications of an efficiency shock in the provision of transport services by households," ZEW Discussion Papers 13-082, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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