IDEAS home Printed from https://ideas.repec.org/a/aen/journl/1993v14-04-a07.html
   My bibliography  Save this article

Short Run Income Elasticity of Demand for Residential Electricity Using Consumer Expenditure Survey Data

Author

Listed:
  • E. Raphael Branch

Abstract

This study provides information on the relationship between income and electricity consumption based on the Consumer Expenditure Interview Survey (CE) of the Bureau of Labor Statistics, U. S. Department of Labor. The income elasticity of short run demand for residential electricity is estimated using household panel data for homeowners. The CE is rich in its coverage of household characteristic data, housing characteristic data, and appliance inventory data. This makes it possible to model electricity demand across areas in the United States more comprehensively than has been done in a number of earlier studies. The results, obtained using a generalized least squares estimator (GLS), include an income elasticity of demand for electricity of 0.23 and a price elasticity of -0.20. The GLS estimator is used because OLS estimates are inefficient due to the correlation of the errors which arises from the use of panel data.

Suggested Citation

  • E. Raphael Branch, 1993. "Short Run Income Elasticity of Demand for Residential Electricity Using Consumer Expenditure Survey Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 111-122.
  • Handle: RePEc:aen:journl:1993v14-04-a07
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=1137
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.

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

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:1993v14-04-a07. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Williams). General contact details of provider: http://edirc.repec.org/data/iaeeeea.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.