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Fuel Taxes And Cointegration Of Energy Prices

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  • MINE K. VÜCEL
  • SHENGYI GUO

Abstract

Creating a successful energy tax policy requires understanding the markets that the energy policy targets. This paper analyzes coal, natural gas, and oil markets to determine the extent to which these fuel prices move together. Results indicate that a stable long‐run relationship between coal and oil prices existed until 1974 and that this relationship changed after 1974. The long‐run relationship between coal, natural gas, and oil prices implies that a single fuel tax in these markets would not be effective as a single tax policy. Similarly, an equal percentage tax on these energy sources, which does not change relative prices initially, would not keep relative prices unchanged in the long run. Energy policy must take account of the long‐run relationship between different energy prices. Otherwise, the long‐run results of energy policy could be quite different than intended.

Suggested Citation

  • Mine K. Vücel & Shengyi Guo, 1994. "Fuel Taxes And Cointegration Of Energy Prices," Contemporary Economic Policy, Western Economic Association International, vol. 12(3), pages 33-41, July.
  • Handle: RePEc:bla:coecpo:v:12:y:1994:i:3:p:33-41
    DOI: 10.1111/j.1465-7287.1994.tb00432.x
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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Stock, James H & Watson, Mark W, 1988. "Variable Trends in Economic Time Series," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 147-174, Summer.
    3. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    4. Nathan S. Balke, 1991. "Modeling trends in macroeconomic time series," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue May, pages 19-33.
    5. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
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    Cited by:

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    4. Jadidzadeh, Ali & Serletis, Apostolos, 2017. "How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?," Energy Economics, Elsevier, vol. 63(C), pages 66-74.
    5. Aloui, Riadh & Aïssa, Mohamed Safouane Ben & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Dependence and extreme dependence of crude oil and natural gas prices with applications to risk management," Energy Economics, Elsevier, vol. 42(C), pages 332-342.
    6. Kyritsis, Evangelos & Andersson, Jonas, 2019. "Causality in quantiles and dynamic relations in energy markets: (De)tails matter," Energy Policy, Elsevier, vol. 133(C).
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    10. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2017. "The dynamic linkages between crude oil and natural gas markets," Energy Economics, Elsevier, vol. 62(C), pages 155-170.
    11. Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Energy Policy, Elsevier, vol. 65(C), pages 567-573.
    12. Lien, Donald & Root, Thomas H., 1999. "Convergence to the long-run equilibrium: the case of natural gas markets," Energy Economics, Elsevier, vol. 21(2), pages 95-110, April.
    13. Hupka, Yuri & Popova, Ivilina & Simkins, Betty & Lee, Thomas, 2023. "A review of the literature on LNG: Hubs development, market integration, and price discovery," Journal of Commodity Markets, Elsevier, vol. 31(C).
    14. Root, Thomas H. & Lien, Donald, 2003. "Can modeling the natural gas futures market as a threshold cointegrated system improve hedging and forecasting performance?," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 117-133.
    15. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.
    16. Ren, Xiaohang & Lu, Zudi & Cheng, Cheng & Shi, Yukun & Shen, Jian, 2019. "On dynamic linkages of the state natural gas markets in the USA: Evidence from an empirical spatio-temporal network quantile analysis," Energy Economics, Elsevier, vol. 80(C), pages 234-252.
    17. Ali Jadidzadeh & Mobin Mirzababaei & Apostolos Serletis, 2022. "Oil Prices and the Hydrocarbon Markets: A Review," Energies, MDPI, vol. 15(17), pages 1-9, August.

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