IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v23y1995i10p861-870.html

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

Author

Listed:
  • Stevens, Paul

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0301-4215(95)00092-W
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. repec:aen:journl:1994v15-02-a06 is not listed on IDEAS
    2. repec:aen:journl:1994v15-01-a01 is not listed on IDEAS
    3. 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.
    4. repec:aen:journl:1992v13-02-a01 is not listed on IDEAS
    5. repec:aen:journl:1990v11-04-a02 is not listed on IDEAS
    6. repec:aen:journl:1994v15-02-a01 is not listed on IDEAS
    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.
    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. 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).
    2. 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.
    3. 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).
    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. 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.
    6. 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.
    7. 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.
    8. Yu, Miaozhi & Ye, Xiaoshuang, 2024. "Improving the economic recovery by flexibility, natural resource performance, and resilience," Resources Policy, Elsevier, vol. 89(C).
    9. Stevens, Paul, 1996. "Oil prices : The start of an era?," Energy Policy, Elsevier, vol. 24(5), pages 391-402, May.
    10. 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.
    11. 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.
    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.

    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. Watkins, G. C. & Streifel, Shane S., 1998. "World crude oil supply: Evidence from estimating supply functions by country," Journal of Energy Finance & Development, Elsevier, vol. 3(1), pages 23-48.
    2. Greene, David L & Jones, Donald W & Leiby, Paul N, 1998. "The outlook for US oil dependence," Energy Policy, Elsevier, vol. 26(1), pages 55-69, January.
    3. Dahl, Carol & Duggan, Thomas E., 1996. "U.S. energy product supply elasticities: A survey and application to the U.S. oil market," Resource and Energy Economics, Elsevier, vol. 18(3), pages 243-263, October.
    4. Andrade de Sá, Saraly & Daubanes, Julien, 2016. "Limit pricing and the (in)effectiveness of the carbon tax," Journal of Public Economics, Elsevier, vol. 139(C), pages 28-39.
    5. repec:aen:journl:ej36-si1-toews is not listed on IDEAS
    6. Andrade de Sá, Saraly & Daubanes, Julien, 2016. "Limit pricing and the (in)effectiveness of the carbon tax," Journal of Public Economics, Elsevier, vol. 139(C), pages 28-39.

    More about this item

    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:eee:enepol:v:23:y:1995:i:10:p:861-870. 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/enpol .

    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.