IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29831.html
   My bibliography  Save this paper

Fueling Alternatives: Gas Station Choice and the Implications for Electric Charging

Author

Listed:
  • Jackson Dorsey
  • Ashley Langer
  • Shaun McRae

Abstract

This paper quantifies the value of electric vehicle (EV) charging networks and the marginal value of network speed and density. We estimate a model of gasoline drivers’ refueling preferences and simulate how these potential future EV drivers value refueling time under counterfactual charging networks. Drivers value refueling time at $19.73/hour. EV adopters with home charging receive $675 per vehicle in benefits from avoiding travel to gas stations, whereas refueling travel and waiting time costs $7,763 for drivers using public charging. Increasing network charging speed yields three times greater time savings than a proportional increase in station density.

Suggested Citation

  • Jackson Dorsey & Ashley Langer & Shaun McRae, 2022. "Fueling Alternatives: Gas Station Choice and the Implications for Electric Charging," NBER Working Papers 29831, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29831
    Note: EEE IO
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29831.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Buchholz & Laura Doval & Jakub Kastl & Filip Matějka & Tobias Salz, 2020. "Personalized Pricing and the Value of Time: Evidence from Auctioned Cab Rides," NBER Working Papers 27087, National Bureau of Economic Research, Inc.
    2. Igal Hendel & Aviv Nevo, 2006. "Measuring the Implications of Sales and Consumer Inventory Behavior," Econometrica, Econometric Society, vol. 74(6), pages 1637-1673, November.
    3. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," NBER Working Papers 28208, National Bureau of Economic Research, Inc.
    4. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    5. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    6. Buchholz, Nicholas & Doval, Laura & Kastl, Jakub & Matejka, Filip & Salz, Tobias, 2020. "The Value of Time: Evidence From Auctioned Cab Rides," CEPR Discussion Papers 14666, C.E.P.R. Discussion Papers.
    7. Jean-Francois Houde, 2012. "Spatial Differentiation and Vertical Mergers in Retail Markets for Gasoline," American Economic Review, American Economic Association, vol. 102(5), pages 2147-2182, August.
    8. Frank J. Cesario, 1976. "Value of Time in Recreation Benefit Studies," Land Economics, University of Wisconsin Press, vol. 52(1), pages 32-41.
    9. Huanxing Yang & Lixin Ye, 2008. "Search with learning: understanding asymmetric price adjustments," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 547-564, June.
    10. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    11. Dimanchev, Emil & Fleten, Stein-Erik & MacKenzie, Don & Korpås, Magnus, 2023. "Accelerating electric vehicle charging investments: A real options approach to policy design," Energy Policy, Elsevier, vol. 181(C).
    12. Matthew Lewis & Michael Noel, 2011. "The Speed of Gasoline Price Response in Markets with and without Edgeworth Cycles," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 672-682, May.
    13. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability," Econometrica, Econometric Society, vol. 73(4), pages 1367-1382, July.
    14. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    15. Michelle Sovinsky Goeree, 2008. "Limited Information and Advertising in the U.S. Personal Computer Industry," Econometrica, Econometric Society, vol. 76(5), pages 1017-1074, September.
    16. Kastl, Jakub & Buchholz, Nicholas & Doval, Laura & Matějka, Filip & Salz, Tobias, 2020. "The Value of Time: Evidence From Auctioned Cab Rides," CEPR Discussion Papers 14666, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fournel, Jean-François, 2023. "Electric Vehicle Subsidies: Cost-Effectiveness and Emission Reductions," TSE Working Papers 23-1465, Toulouse School of Economics (TSE), revised Jun 2024.
    2. Grigolon, Laura & Park, Eunseong & Remmy, Kevin, 2024. "Fueling electrification: The impact of gas prices on hybrid car usage," ZEW Discussion Papers 24-017, ZEW - Leibniz Centre for European Economic Research.
    3. Arlt, Marie-Louise & Astier, Nicolas, 2023. "Do retail businesses have efficient incentives to invest in public charging stations for electric vehicles?," Energy Economics, Elsevier, vol. 124(C).
    4. Heid, Pascal & Remmy, Kevin & Reynaert, Mathias, 2024. "Equilibrium Effects in Complementary Markets: Electric Vehicle Adoption and Electricity Pricing," TSE Working Papers 24-1589, Toulouse School of Economics (TSE).
    5. Pascal Heid & Kevin Remmy & Mathias Reynaert, 2024. "Equilibrium Effects in Complementary Markets: Electric Vehicle Adoption and Electricity Pricing," CRC TR 224 Discussion Paper Series crctr224_2024_615, University of Bonn and University of Mannheim, Germany.
    6. Hanming Fang & Ming Li & Long Wang & Yang Yang, 2025. "High-Speed Rail and China’s Electric Vehicle Adoption Miracle," PIER Working Paper Archive 25-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Durrmeyer, Isis & Martinez, Nicolas, 2022. "The Welfare Consequences of Urban Traffic Regulations," TSE Working Papers 22-1378, Toulouse School of Economics (TSE), revised Dec 2024.
    2. Krekel, Christian & MacKerron, George, 2023. "Back to Edgeworth? Estimating the Value of Time Using Hedonic Experiences," IZA Discussion Papers 16308, Institute of Labor Economics (IZA).
    3. Wichman, Casey J. & Cunningham, Brandon, 2023. "Notching for free: Do cyclists reveal the opportunity cost of time?," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    4. Su, Yichen, 2022. "Measuring the Value of Urban Consumption Amenities: A Time-Use Approach," Journal of Urban Economics, Elsevier, vol. 132(C).
    5. Gabriel Kreindler, 2024. "Peak‐Hour Road Congestion Pricing: Experimental Evidence and Equilibrium Implications," Econometrica, Econometric Society, vol. 92(4), pages 1233-1268, July.
    6. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," NBER Working Papers 28208, National Bureau of Economic Research, Inc.
    7. Boffa, Federico & Fedele, Alessandro & Iozzi, Alberto, 2023. "Congestion and incentives in the age of driverless fleets," Journal of Urban Economics, Elsevier, vol. 137(C).
    8. Christensen, Peter & Osman, Adam, 2021. "The Demand for Mobility: Evidence from an Experiment with Uber Riders," IZA Discussion Papers 14179, Institute of Labor Economics (IZA).
    9. Xiaosong Wu & Matthew S. Lewis & Frank A. Wolak, 2024. "Search with learning in the retail gasoline market," RAND Journal of Economics, RAND Corporation, vol. 55(2), pages 292-323, June.
    10. Su, Yichen, 2022. "Measuring the Value of Urban Consumption Amenities: A Time-Use Approach," MPRA Paper 113158, University Library of Munich, Germany.
    11. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    12. Hayato Kanayama & Suguru Otani, 2024. "Nonparametric Estimation of Matching Efficiency and Elasticity in a Spot Gig Work Platform: 2019-2023," Papers 2412.19024, arXiv.org, revised Mar 2025.
    13. Strobel, Stephenson, 2024. "Who responds to longer wait times? The effects of predicted emergency wait times on the health and volume of patients who present for care," Journal of Health Economics, Elsevier, vol. 96(C).
    14. Fan Wu & Yi Xin, 2024. "Estimating Nonseparable Selection Models: A Functional Contraction Approach," Papers 2411.01799, arXiv.org, revised Feb 2025.
    15. Bencsik, Panka & Lusher, Lester & Taylor, Rebecca L.C., 2023. "Slow Traffic, Fast Food: The Effects of Time Lost on Food Store Choice," IZA Discussion Papers 16036, Institute of Labor Economics (IZA).
    16. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1445-1488, December.
    17. Gilles Duranton & Jessie Handbury, 2023. "COVID and Cities, Thus Far," Economic Policy Review, Federal Reserve Bank of New York, vol. 29(2), pages 6-52, October.
    18. Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
    19. Aaron Barkley & David P. Byrne & Xiaosong Wu, 2022. "Price effects of calling out market power: A study of the COVID‐19 oil price shock," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 923-941, November.
    20. Timothy J. Richards & Stephen F. Hamilton & Koichi Yonezawa, 2017. "Variety and the Cost of Search in Supermarket Retailing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(3), pages 263-285, May.

    More about this item

    JEL classification:

    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:29831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.