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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    9. 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.
    10. 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.
    11. 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.
    12. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    13. Abosedra, Salah & Baghestani, Hamid, 2004. "On the predictive accuracy of crude oil futures prices," Energy Policy, Elsevier, vol. 32(12), pages 1389-1393, August.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    19. 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.
    20. 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.
    21. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Carol A. Dahl, 1986. "Gasoline Demand Survey," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 67-82.
    28. 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.
    29. 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.
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