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The determination of oil prices 1945-1995 : A diagrammatic interpretation

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  • Stevens, Paul

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  • Stevens, Paul, 1995. "The determination of oil prices 1945-1995 : A diagrammatic interpretation," Energy Policy, Elsevier, vol. 23(10), pages 861-870, October.
    • Handle: RePEc:eee:enepol:v:23:y:1995:i:10:p:861-870
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    References listed on IDEAS

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    1. Hillard G. Huntington, 1994. "Oil Price Forecasting in the 1980s: What Went Wrong?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
    2. Philip K Verleger, Jr, 1990. "Understanding the 1990 Oil Crisis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 15-34.
    3. Douglas G. Sauer, 1994. "Measuring Economic Markets for Imported Crude Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 107-124.
    4. Richard L. Gordon, 1994. "IAEE Convention Speech: Energy, Exhaustion, Environmentalism, and Etatism," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-16.
    5. Adelman, M A, 1990. "Mineral Depletion, with Special Reference to Petroleum," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 1-10, February.
    6. Robert Mabro, 1992. "OPEC and the Price of Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    7. Raggi, Andrea & Barbiroli, Giancarlo, 1992. "Factors influencing changes in energy consumption : The case of Italy, 1975-85," Energy Economics, Elsevier, vol. 14(1), pages 49-56, January.
    8. Adelman, M. A. & Shahi, Manoj, 1989. "Oil development-operating cost estimates, 1955-1985," Energy Economics, Elsevier, vol. 11(1), pages 2-10, January.
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    Cited by:

    1. Li, Jinchao & Zhu, Shaowen & Wu, Qianqian, 2019. "Monthly crude oil spot price forecasting using variational mode decomposition," Energy Economics, Elsevier, vol. 83(C), pages 240-253.
    2. Yu, Miaozhi & Ye, Xiaoshuang, 2024. "Improving the economic recovery by flexibility, natural resource performance, and resilience," Resources Policy, Elsevier, vol. 89(C).
    3. Stevens, Paul, 1996. "Oil prices : The start of an era?," Energy Policy, Elsevier, vol. 24(5), pages 391-402, May.
    4. Chai, Jian & Guo, Ju-E. & Meng, Lei & Wang, Shou-Yang, 2011. "Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model," Energy Policy, Elsevier, vol. 39(12), pages 8022-8036.
    5. Mohsin, Muhammad & Jamaani, Fouad, 2023. "Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning," Resources Policy, Elsevier, vol. 85(PA).
    6. Foster, Edward & Contestabile, Marcello & Blazquez, Jorge & Manzano, Baltasar & Workman, Mark & Shah, Nilay, 2017. "The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses," Energy Policy, Elsevier, vol. 103(C), pages 258-264.
    7. Yu, Lean & Zhao, Yang & Tang, Ling, 2014. "A compressed sensing based AI learning paradigm for crude oil price forecasting," Energy Economics, Elsevier, vol. 46(C), pages 236-245.
    8. Wu, Jian & Lu, Yiwen & Zhu, Hongyi, 2024. "Thriving in complexity: Navigating economic recovery with a systems approach that centers natural resource efficiency," Resources Policy, Elsevier, vol. 91(C).
    9. 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.
    10. Stevens, Paul, 1997. "Increasing global dependence on Gulf oil: `This year, next year, sometime, never?'," Energy Policy, Elsevier, vol. 25(2), pages 135-142, February.
    11. Manel Hamdi & Chaker Aloui, 2015. "Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey," Economics Bulletin, AccessEcon, vol. 35(2), pages 1339-1359.
    12. Wang, Jue & Athanasopoulos, George & Hyndman, Rob J. & Wang, Shouyang, 2018. "Crude oil price forecasting based on internet concern using an extreme learning machine," International Journal of Forecasting, Elsevier, vol. 34(4), pages 665-677.

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