IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v12y1987i12p1233-1238.html
   My bibliography  Save this article

A statistical evaluation of aggregate monthly industrial demand for natural gas in the U.S.A

Author

Listed:
  • Herbert, John H.
  • Sitzer, Scott
  • Eades-Pryor, Yvonne

Abstract

We examine the temporal pattern and effect of heating degree days, price of natural gas, price of residual fuel oil, and industrial activity on industrial demand for natural gas between January 1980 and March 1984. Time plots are used to display these patterns. Regression analysis is used to estimate these effects. The results of the regression analysis are then evaluated, including an examination of the effect of measurement error on estimated coefficients. The evaluation indicates that the estimated coefficients are reliable.

Suggested Citation

  • Herbert, John H. & Sitzer, Scott & Eades-Pryor, Yvonne, 1987. "A statistical evaluation of aggregate monthly industrial demand for natural gas in the U.S.A," Energy, Elsevier, vol. 12(12), pages 1233-1238.
    • Handle: RePEc:eee:energy:v:12:y:1987:i:12:p:1233-1238
    DOI: 10.1016/0360-5442(87)90030-2
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0360544287900302
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/0360-5442(87)90030-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    2. Soldo, Božidar, 2012. "Forecasting natural gas consumption," Applied Energy, Elsevier, vol. 92(C), pages 26-37.
    3. Askari, S. & Montazerin, N. & Zarandi, M.H. Fazel, 2015. "Forecasting semi-dynamic response of natural gas networks to nodal gas consumptions using genetic fuzzy systems," Energy, Elsevier, vol. 83(C), pages 252-266.

    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:energy:v:12:y:1987:i:12:p:1233-1238. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.journals.elsevier.com/energy .

    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.