IDEAS home Printed from https://ideas.repec.org/a/aen/journl/1994v15-02-a04.html
   My bibliography  Save this article

Estimating Consumer Energy Demand Using International Data: Theoretical and Policy Implications

Author

Listed:
  • Dale S. Rothman
  • J. Ho Hong
  • Timothy D. Mount

Abstract

In this paper, consumer energy demand is estimated as part of a complete demand system using a consistent set of international data on prices, and expenditures for 53 countries ranging from the poorest to the wealthiest. We compare three models: the Translog, the Deaton-Muellbauer Almost Ideal! Demand System (DM), and the Generalized Logit (Logit), and two levels of commodity aggregation (6-good and 9-good). The estimation results indicate that the model specification and level of aggregation are important. The Logit model performs better than the Translog and D-M models which provide illogical! elasticity estimates for many countries. The 9-good model shows that the demand for electricity is significantly more price and income elastic than the demand for primary energy.

Suggested Citation

  • Dale S. Rothman & J. Ho Hong & Timothy D. Mount, 1994. "Estimating Consumer Energy Demand Using International Data: Theoretical and Policy Implications," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 67-88.
    • Handle: RePEc:aen:journl:1994v15-02-a04
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=1157
    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.

    Citations

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


    Cited by:

    1. Ghulam Yahya Khan & Syeda Nazish Rashid & Salik Mehboob, 2018. "Empirical Analysis of Household Energy Demand Using Almost Ideal Demand System: A Case Study of District Muzaffarabad, Azad Kashmir, Pakistan," Energy Economics Letters, Asian Economic and Social Society, vol. 5(1), pages 12-22, March.
    2. Narayan, Paresh Kumar & Smyth, Russell, 2007. "A panel cointegration analysis of the demand for oil in the Middle East," Energy Policy, Elsevier, vol. 35(12), pages 6258-6265, December.
    3. Zhang, Xiaobo & Mount, Timothy D. & Boisvert, Richard N., 2001. "The Demand For Food Grain In China : New Insights Into A Controversy," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(1), pages 1-9, April.
    4. Xavier Labandeira & Baltazar Manzano, 2012. "Some Economic Aspects of Energy Security," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 47-64.
    5. repec:ers:journl:v:xv:y:2012:i:sie:p:47-64 is not listed on IDEAS
    6. Dumagan, Jesus C. & Mount, Timothy D., 1996. "Global properties of well-behaved demand systems: A generalized logit model specification," Economic Modelling, Elsevier, vol. 13(2), pages 235-256, April.
    7. Alam, Qaiser & Alam, Shabbir & Jamil, Syed Ahsan, 2016. "Oil demand and price elasticity of energy consumption in the GCC countries: A panel cointegration analysis," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 12(2).
    8. Nourah Al Yousef, 2013. "Demand for Oil Products in OPEC Countries: A Panel Cointegration Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 168-177.
    9. Paul Brenton, 1997. "Estimates of the demand for energy using cross-country consumption data," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 851-859.
    10. Berkhout, Peter H. G. & Ferrer-i-Carbonell, Ada & Muskens, Jos C., 2004. "The ex post impact of an energy tax on household energy demand," Energy Economics, Elsevier, vol. 26(3), pages 297-317, May.
    11. repec:rre:publsh:v:33:y:2003:i:2:p:206-28 is not listed on IDEAS
    12. Seale, James L. & Solano, Alexis A., 2012. "The changing demand for energy in rich and poor countries over 25years," Energy Economics, Elsevier, vol. 34(6), pages 1834-1844.
    13. Weng, Weifeng & Mount, Timothy D., 1997. "Demand Systems For Energy Forecasting: Practical Considerations For Estimating A Generalized Logit Model," Working Papers 127814, Cornell University, Department of Applied Economics and Management.
    14. Castro Martins, Maria Lurdes, 2003. "International differences in telecommunications demand," Information Economics and Policy, Elsevier, vol. 15(3), pages 291-303, September.
    15. Dumagan, Jesus C. & Mount, Timothy D., 1997. "Approximating compensated income from ordinary demand functions1," Economics Letters, Elsevier, vol. 55(2), pages 191-201, August.

    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:1994v15-02-a04. 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.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.