IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v11y1995i1p43-61.html
   My bibliography  Save this article

A Bayesian technique for refining the uncertainty in global energy model forecasts

Author

Listed:
  • Tschang, F. Ted
  • Dowlatabadi, Hadi

Abstract

No abstract is available for this item.

Suggested Citation

  • Tschang, F. Ted & Dowlatabadi, Hadi, 1995. "A Bayesian technique for refining the uncertainty in global energy model forecasts," International Journal of Forecasting, Elsevier, vol. 11(1), pages 43-61, March.
    • Handle: RePEc:eee:intfor:v:11:y:1995:i:1:p:43-61
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(94)02010-M
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Edmonds, Jae & Reilly, John, 1983. "A long-term global energy- economic model of carbon dioxide release from fossil fuel use," Energy Economics, Elsevier, vol. 5(2), pages 74-88, April.
    2. Anand Patwardhan & Mitchell J. Small, 1992. "Bayesian Methods for Model Uncertainty Analysis with Application to Future Sea Level Rise," Risk Analysis, John Wiley & Sons, vol. 12(4), pages 513-523, December.
    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. Klaus Keller & Louise I. Miltich & Alexander Robinson & Richard S.J. Tol, 2007. "How Overconfident are Current Projections of Anthropogenic Carbon Dioxide Emissions?," Working Papers 2007.39, Fondazione Eni Enrico Mattei.
    2. Abramson, Bruce & Clemen, Robert, 1995. "Probability forecasting," International Journal of Forecasting, Elsevier, vol. 11(1), pages 1-4, March.
    3. van Ruijven, Bas & de Vries, Bert & van Vuuren, Detlef P. & van der Sluijs, Jeroen P., 2010. "A global model for residential energy use: Uncertainty in calibration to regional data," Energy, Elsevier, vol. 35(1), pages 269-282.
    4. Dowlatabadi, Hadi & Oravetz, Matthew A., 2006. "US long-term energy intensity: Backcast and projection," Energy Policy, Elsevier, vol. 34(17), pages 3245-3256, November.
    5. DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.
    6. Dowlatabadi, Hadi, 1998. "Sensitivity of climate change mitigation estimates to assumptions about technical change," Energy Economics, Elsevier, vol. 20(5-6), pages 473-493, December.

    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. A. E. Ades & Karl Claxton & Mark Sculpher, 2006. "Evidence synthesis, parameter correlation and probabilistic sensitivity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 373-381, April.
    2. Kenneth Gillingham & William D. Nordhaus & David Anthoff & Geoffrey Blanford & Valentina Bosetti & Peter Christensen & Haewon McJeon & John Reilly & Paul Sztorc, 2015. "Modeling Uncertainty in Climate Change: A Multi-Model Comparison," NBER Working Papers 21637, National Bureau of Economic Research, Inc.
    3. Pei-Ing Wu & Je-Liang Liou & Hung-Yi Chang, 2015. "Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 57-73, January.
    4. Babiker, Mustafa & Reilly, John & Ellerman, Denny, 2000. "Japanese Nuclear Power and the Kyoto Agreement," Journal of the Japanese and International Economies, Elsevier, vol. 14(3), pages 169-188, September.
    5. Isabelle Albert & Emmanuel Grenier & Jean‐Baptiste Denis & Judith Rousseau, 2008. "Quantitative Risk Assessment from Farm to Fork and Beyond: A Global Bayesian Approach Concerning Food‐Borne Diseases," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 557-571, April.
    6. Yu, Sha & Tan, Qing & Evans, Meredydd & Kyle, Page & Vu, Linh & Patel, Pralit L., 2017. "Improving building energy efficiency in India: State-level analysis of building energy efficiency policies," Energy Policy, Elsevier, vol. 110(C), pages 331-341.
    7. Yu, Sha & Eom, Jiyong & Evans, Meredydd & Clarke, Leon, 2014. "A long-term, integrated impact assessment of alternative building energy code scenarios in China," Energy Policy, Elsevier, vol. 67(C), pages 626-639.
    8. Yamamoto, H. & Yamaji, K. & Fujino, J., 1999. "Evaluation of bioenergy resources with a global land use and energy model formulated with SD technique," Applied Energy, Elsevier, vol. 63(2), pages 101-113, June.
    9. Samuel Fankhauser & Nicholas Stern, 2016. "Climate change, development, poverty and economics," GRI Working Papers 253, Grantham Research Institute on Climate Change and the Environment.
    10. Xiangxiang Sun & Lawrence Loh, 2019. "Sustainability Governance in China: An Analysis of Regional Ecological Efficiency," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    11. Klinge Jacobsen, Henrik & Morthorst, Poul Erik & Nielsen, Lise & Stephensen, Peter, 1996. "Sammenkobling af makroøkonomiske og teknisk-økonomiske modeller for energisektoren. Hybris [Integration of bottom-up and top-down models for the energy system: A practical case for Denmark]," MPRA Paper 65676, University Library of Munich, Germany.
    12. Kejun Jiang & Tsuneyuki Morita & Toshihiko Masui & Yuzuru Matsuoka, 2000. "Global long-term greenhouse gas mitigation emission scenarios based on AIM," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 3(2), pages 239-254, June.
    13. Dobes Leo & Jotzo Frank & Stern David I., 2014. "The Economics of Global Climate Change: A Historical Literature Review," Review of Economics, De Gruyter, vol. 65(3), pages 281-320, December.
    14. Kejun Jiang & Xiulian Hu, 2006. "Energy demand and emissions in 2030 in China: scenarios and policy options," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(3), pages 233-250, September.
    15. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    16. Yasumasa Fujii & Kenji Yamaji, 1998. "Assessment of technological options in the global energy system for limiting the atmospheric CO2 concentration," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 1(2), pages 113-139, December.
    17. Kejun Jiang & Toshihiko Masui & Tsuneyuki Morita & Yuzuru Matsuoka, 1999. "Long-term emission scenarios for China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 2(4), pages 267-287, December.
    18. Thorpe, Sally & Sterland, Barry & Jones, Barry P. & Wallace, Nancy A. & Pugsley, Sally-Ann, 1991. "World energy markets and uncertainty to the year 2100: implications for greenhouse policy," Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) Archive 316175, Australian Government, Australian Bureau of Agricultural and Resource Economics and Sciences.
    19. Debyani Ghosh, 2008. "Renewable Energy Strategies for Indian Power Sector," Working Papers id:1715, eSocialSciences.
    20. P. Shukla & Ashish Rana & Amit Garg & Manmohan Kapshe & Rajesh Nair, 2006. "Global climate change stabilization regimes and Indian emission scenarios: Lessons for modeling of developing country transitions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(3), pages 205-231, September.

    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:intfor:v:11:y:1995:i:1:p:43-61. 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/ijforecast .

    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.