IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v126y2023ics0140988323004139.html
   My bibliography  Save this article

Energy price volatility affects decisions to purchase energy using capital: Motor vehicles

Author

Listed:
  • Kaufmann, Robert K.

Abstract

I investigate how energy price volatility affects consumer decisions to purchase durable, energy using capital, motor vehicles. A cointegrating vector autoregression (CVAR) model indicates that; (1) high price volatility reduces the negative effect of motor gasoline prices on monthly purchases of motor vehicles, (2) consumers consider passenger cars to be an inferior good and this drives the substitution of light trucks for passenger cars, (3) the own price elasticity of demand for vehicles is about −0.3, which is consistent with estimates used to justify The Safer Affordable Fuel-Efficient (SAFE) Vehicles Rule for Models Years 2021–2026 Passenger Cars and Light Trucks. Simulating the CVAR model indicates that implementing an energy tax rapidly or during a period of low price volatility has a greater effect on motor vehicle sales than implementing the same tax slowly or during a period of high price volatility. Together these results suggest that more research should focus on how energy price volatility affects consumer decisions to purchase energy using capital.

Suggested Citation

  • Kaufmann, Robert K., 2023. "Energy price volatility affects decisions to purchase energy using capital: Motor vehicles," Energy Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004139
    DOI: 10.1016/j.eneco.2023.106915
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323004139
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2023.106915?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Ron Alquist & Lutz Kilian, 2010. "What do we learn from the price of crude oil futures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 539-573.
    3. Moosa, Imad A. & Al-Loughani, Nabeel E., 1994. "Unbiasedness and time varying risk premia in the crude oil futures market," Energy Economics, Elsevier, vol. 16(2), pages 99-105, April.
    4. Donald W. Jones, Paul N. Leiby and Inja K. Paik, 2004. "Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-32.
    5. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
    6. Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013. "What do consumers believe about future gasoline prices?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
    7. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry & Felix Pretis, 2015. "Detecting Location Shifts during Model Selection by Step-Indicator Saturation," Econometrics, MDPI, vol. 3(2), pages 1-25, April.
    8. Søren Johansen & Bent Nielsen, 2016. "Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(2), pages 321-348, June.
    9. David P. Byrne & Nicolas de Roos, 2017. "Consumer Search in Retail Gasoline Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 65(1), pages 183-193, March.
    10. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    11. Ryan Kellogg, 2014. "The Effect of Uncertainty on Investment: Evidence from Texas Oil Drilling," American Economic Review, American Economic Association, vol. 104(6), pages 1698-1734, June.
    12. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    13. Patrick J. Kehoe & Andrew Atkeson, 1999. "Models of Energy Use: Putty-Putty versus Putty-Clay," American Economic Review, American Economic Association, vol. 89(4), pages 1028-1043, September.
    14. Hunt Allcott & Nathan Wozny, 2014. "Gasoline Prices, Fuel Economy, and the Energy Paradox," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 779-795, December.
    15. Kenneth T. Gillingham & Sébastien Houde & Arthur A. van Benthem, 2021. "Consumer Myopia in Vehicle Purchases: Evidence from a Natural Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 207-238, August.
    16. Harbo, Ingrid, et al, 1998. "Asymptotic Inference on Cointegrating Rank in Partial Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 388-399, October.
    17. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    18. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    19. James E. Smith & Kevin F. McCardle, 1998. "Valuing Oil Properties: Integrating Option Pricing and Decision Analysis Approaches," Operations Research, INFORMS, vol. 46(2), pages 198-217, April.
    20. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    21. Abosedra, Salah & Baghestani, Hamid, 2004. "On the predictive accuracy of crude oil futures prices," Energy Policy, Elsevier, vol. 32(12), pages 1389-1393, August.
    22. Kaufmann, Robert K., 2019. "Pass-through of motor gasoline taxes: Efficiency and efficacy of environmental taxes," Energy Policy, Elsevier, vol. 125(C), pages 207-215.
    23. Carol A. Dahl, 1986. "Gasoline Demand Survey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 67-82.
    24. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    25. Weiqing Li & Qianyi Dan & Maomao Chi & Weijun Wang, 2021. "Influence of Price Level and Perceived Price Dispersion on Consumer Information Search Behaviour: Moderating Effect of Durables and Consumables," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    26. Søren Johansen & Bent Nielsen, 2016. "Rejoinder: Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(2), pages 374-381, June.
    27. Babak Jafarizadeh & Reidar Brumer Bratvold, 2015. "Oil and Gas Exploration Valuation and the Value of Waiting," The Engineering Economist, Taylor & Francis Journals, vol. 60(4), pages 245-262, October.
    28. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679, Decembrie.
    29. Esmail Ansari & Robert. K. Kaufmann, 2019. "The effect of oil and gas price and price volatility on rig activity in tight formations and OPEC strategy," Nature Energy, Nature, vol. 4(4), pages 321-328, April.
    Full references (including those not matched with items on IDEAS)

    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. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    2. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    3. Shanjun Li & Joshua Linn & Erich Muehlegger, 2014. "Gasoline Taxes and Consumer Behavior," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 302-342, November.
    4. Rik L. Rozendaal & Herman R. J. Vollebergh, 2021. "Policy-Induced Innovation in Clean Technologies: Evidence from the Car Market," CESifo Working Paper Series 9422, CESifo.
    5. Sallee, James M. & West, Sarah E. & Fan, Wei, 2016. "Do consumers recognize the value of fuel economy? Evidence from used car prices and gasoline price fluctuations," Journal of Public Economics, Elsevier, vol. 135(C), pages 61-73.
    6. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    7. Joshua Linn, 2016. "The Rebound Effect for Passenger Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    8. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, MDPI, vol. 9(4), pages 1-14, December.
    9. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    10. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    11. Ericsson, Neil R., 2017. "How biased are U.S. government forecasts of the federal debt?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 543-559.
    12. Anderson, Soren T. & Kellogg, Ryan & Sallee, James M., 2013. "What do consumers believe about future gasoline prices?," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 383-403.
    13. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
    14. Neil R. Ericsson & Mohammed H. I. Dore & Hassan Butt, 2022. "Detecting and Quantifying Structural Breaks in Climate," Econometrics, MDPI, vol. 10(4), pages 1-27, November.
    15. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
    16. Ericsson, Neil R., 2017. "Interpreting estimates of forecast bias," International Journal of Forecasting, Elsevier, vol. 33(2), pages 563-568.
    17. Pretis, Felix, 2020. "Econometric modelling of climate systems: The equivalence of energy balance models and cointegrated vector autoregressions," Journal of Econometrics, Elsevier, vol. 214(1), pages 256-273.
    18. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    19. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    20. Jacobsen, Grant D., 2015. "Do energy prices influence investment in energy efficiency? Evidence from energy star appliances," Journal of Environmental Economics and Management, Elsevier, vol. 74(C), pages 94-106.

    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:eee:eneeco:v:126:y:2023:i:c:s0140988323004139. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.