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Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, Matching and a Regression Discontinuity Design

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To correct market failures due to the presence of negative externalities associated with energy consumption, governments have adopted a variety of policies, including taxes, subsidies, regulations and standards, and information-based policies. For example, labels that clearly convey energy consumption rates, associated costs, and emissions of conventional pollutants and CO2, have been devised and used in the last two decades to promote rational decisions, but it is unclear whether labeling schemes have realigned consumer and producer behaviors. In 2003, Switzerland introduced a system of fuel economy labels, based on grades ranging from A to G, where is A best and G is worst, to assist consumers in making decisions that improve the fleet’s fuel economy and lower emissions. We use a dataset documenting all passenger cars approved for sale in Switzerland each year from 2000 to 2011 to answer three key research questions. First, what is the willingness to pay for fuel economy? Second, do Swiss drivers—or Swiss auto importers—appear to do a one-to-one tradeoff between car purchase price and savings on fuel costs over the lifetime of the car? Third, does the label have an additional effect on price, all else the same, above and beyond that of fuel efficiency alone? Hedonic pricing regressions that exploit the variation in fuel economy across make-models, and over time within make-models, suggest that there is a (modest) capitalization of fuel economy into car prices. The Diesel premium, however, exceeds the future fuel cost savings made possible by Diesel cars, even at zero discount rates. An alternate calculation suggests that the fuel economy premium is consistent with a very low discount rate (2.5%). We use matching estimators and a sharp regression discontinuity design (RDD) based on the mechanism used by the Swiss Federal Office of Energy to assign cars to the fuel economy label to see if the label has an independent effect on price, above and beyond that of the fuel economy. The matching estimator indicates that the A-label effect on car price is approximately 5%. The RDD approach estimates the effect to be 6-11%.

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  • Anna Alberini & Massimo Filippini & Markus Bareit, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, Matching and a Regression Discontinuity Design," CER-ETH Economics working paper series 14/190, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:14-190
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    File URL: http://www.cer.ethz.ch/content/dam/ethz/special-interest/mtec/cer-eth/cer-eth-dam/documents/working-papers/WP-14-190.pdf
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    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Piet Eichholtz & Nils Kok & John M. Quigley, 2010. "Doing Well by Doing Good? Green Office Buildings," American Economic Review, American Economic Association, vol. 100(5), pages 2492-2509, December.
    3. Jonathan Murray & Nicholas Sarantis, 1999. "Price-Quality Relations and Hedonic Price Indexes for Cars in the United Kingdom," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 5-27.
    4. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    5. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    6. Anna Matas & Josep-Lluis Raymond, 2009. "Hedonic prices for cars: an application to the Spanish car market, 1981-2005," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2887-2904.
    7. Soren T. Anderson & Ian W. H. Parry & James M. Sallee & Carolyn Fischer, 2011. "Automobile Fuel Economy Standards: Impacts, Efficiency, and Alternatives," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 89-108, Winter.
    8. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    9. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    10. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    11. David C. Wyld, 2010. "ASecond Life for organizations?: managing in the new, virtual world," Management Research Review, Emerald Group Publishing, vol. 33(6), pages 529-562, May.
    12. Sarah E. West & Roberton C. Williams III, 2005. "The Cost of Reducing Gasoline Consumption," American Economic Review, American Economic Association, vol. 95(2), pages 294-299, May.
    13. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    14. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    15. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    16. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    17. Brounen, Dirk & Kok, Nils, 2011. "On the economics of energy labels in the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 166-179, September.
    18. Robert Witt, 1997. "The demand for car fuel efficiency: some evidence for the UK," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1249-1254.
    19. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

    1. de Ayala, Amaia & Galarraga, Ibon & Spadaro, Joseph V., 2016. "The price of energy efficiency in the Spanish housing market," Energy Policy, Elsevier, vol. 94(C), pages 16-24.
    2. Ramos, A. & Gago, A. & Labandeira, X. & Linares, P., 2015. "The role of information for energy efficiency in the residential sector," Energy Economics, Elsevier, vol. 52(S1), pages 17-29.

    More about this item

    Keywords

    Fuel economy; CO2 emissions; Passenger vehicles; Hedonic pricing model; Matching Estimator; Regression Discontinuity Design; Fuel efficiency premium; Discounted future fuel costs.;

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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