IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v24y1994i3p121-138.html
   My bibliography  Save this article

Model Evaluation at the Energy Information Administration

Author

Listed:
  • Douglas R. Hale

    (Quality Assurance Division, US Energy Information Administration (EI-72), 1000 Independence Avenue, SW, Washington, DC 20585)

  • Arnold Greenland

    (David C. Cox & Associates, 5501 Cherokee Avenue, Suite 111, Alexandria, Virginia 22312)

Abstract

The Energy Information Administration's model quality program is based on objective information about model assumptions, equations, and data sources, and the ability of outside examiners to review models and replicate results. Agency standards and management enforce incentives for preparing and submitting timely documentation and building archive versions of models throughout the development process. Programs require regular review of models during the development process by outside experts and the detailed mathematical, statistical, and econometric review and software verification at key developmental stages of development. The agency gauges the effectiveness of the model quality program by the numbers of models documented and reviewed and by compliance with recommendations to retire, modify, or enhance the models reviewed.

Suggested Citation

  • Douglas R. Hale & Arnold Greenland, 1994. "Model Evaluation at the Energy Information Administration," Interfaces, INFORMS, vol. 24(3), pages 121-138, June.
    • Handle: RePEc:inm:orinte:v:24:y:1994:i:3:p:121-138
    DOI: 10.1287/inte.24.3.121
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.24.3.121
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.24.3.121?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
    ---><---

    Citations

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


    Cited by:

    1. Ann Ferris & Ronald J. Shadbegian & Ann Wolverton, 2014. "The Effect of Environmental Regulation on Employment: An Examination of the 1990 Clean Air Act Amendments and its Impact on the Electric Power Sector," NCEE Working Paper Series 201403, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Feb 2014.
    2. Bousquet, Alain & Ladoux, Norbert, 2004. "Fuel-Switching Capability," IDEI Working Papers 322, Institut d'Économie Industrielle (IDEI), Toulouse.
    3. Gass, Saul I., 1997. "The Washington operations research connection: the rest of the story," Socio-Economic Planning Sciences, Elsevier, vol. 31(4), pages 245-255, December.

    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:inm:orinte:v:24:y:1994:i:3:p:121-138. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.