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Attribute Substitution in Household Vehicle Portfolios

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Listed:
  • James Archsmith
  • Kenneth Gillingham
  • Christopher R. Knittel
  • David S. Rapson

Abstract

Household preferences for goods with a bundle of attributes may have complex substitution patterns when one attribute is changed. For example, a household faced with an exogenous increase in the size of one television may choose to decrease the size of other televisions within the home. This paper quantifies the extent of attribute substitution in the context of multi-vehicle households. We deploy a novel identification strategy to examine how an exogenous change in the fuel economy of a kept vehicle affects a household's choice of a second vehicle. We find strong evidence of attribute substitution in the household vehicle portfolio. This effect operates through car attributes that are correlated with fuel economy, including vehicle footprint and weight. Our findings suggest that attribute substitution exerts a strong force that may erode a substantial portion of the expected future gasoline savings from fuel economy standards, particularly those that are attribute-based. Elements of our identification strategy are relevant to a broad class of settings in which consumers make sequential purchases of durable portfolio goods.

Suggested Citation

  • James Archsmith & Kenneth Gillingham & Christopher R. Knittel & David S. Rapson, 2017. "Attribute Substitution in Household Vehicle Portfolios," NBER Working Papers 23856, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23856
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    Cited by:

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    2. Severin Borenstein & James Bushnell & Frank A. Wolak & Matthew Zaragoza-Watkins, 2019. "Expecting the Unexpected: Emissions Uncertainty and Environmental Market Design," American Economic Review, American Economic Association, vol. 109(11), pages 3953-3977, November.
    3. Lucas W. Davis & James M. Sallee, 2020. "Should Electric Vehicle Drivers Pay a Mileage Tax?," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 65-94.
    4. Goetzke, Frank & Vance, Colin, 2021. "An increasing gasoline price elasticity in the United States?," Energy Economics, Elsevier, vol. 95(C).
    5. Alberini, Anna & Horvath, Marco & Vance, Colin, 2021. "Drive less, drive better, or both? Behavioral adjustments to fuel price changes in Germany," Ruhr Economic Papers 892, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Münster Center for Economic Policy (MEP).
    7. Alberini, Anna & Horvath, Marco & Vance, Colin, 2022. "Drive less, drive better, or both? Behavioral adjustments to fuel price changes in Germany," Resource and Energy Economics, Elsevier, vol. 68(C).
    8. Bryan Bollinger & Naim Darghouth & Kenneth Gillingham & Andres Gonzalez-Lira, 2023. "Valuing Technology Complementarities: Rooftop Solar and Energy Storage," NBER Working Papers 32003, National Bureau of Economic Research, Inc.

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    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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