IDEAS home Printed from https://ideas.repec.org/a/aen/journl/2003v24-01-a01.html
   My bibliography  Save this article

An Almost Ideal Demand System Model of Household Vehicle Fuel Expenditure Allocation in the United States

Author

Listed:
  • Gbadebo Oladosu

Abstract

In this study I model vehicle-fuel expenditure allocation in multi-vehicle households based on the Almost Ideal Demand System (AIDS).Using data from surveys conducted by the Energy Information Administration in 1988, 1991 and 1994, I estimate the AIDS model, augmented with a comprehensive set of household and vehicle characteristics for households owning 1 to 4 vehicles ordered by vehicle age. Results show that vehicle characteristics are the most significant factors in the expenditure allocation process. Mean and standard deviation of price, expenditure and Allen substitution elasticities are calculated across households. Own-price elasticities for all vehicles are close to 1. Allen substitution elasticities indicate that all vehicle pairs are substitutes, and only vehicle 1 is found to be expenditure inelastic. The approach taken in this study enables a disentangling of vehicle allocation/substitution effects from aggregate household vehicle use behavior. This will be useful in the analysis of efficiency and distributional effects of policies affecting household transportation.

Suggested Citation

  • Gbadebo Oladosu, 2003. "An Almost Ideal Demand System Model of Household Vehicle Fuel Expenditure Allocation in the United States," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-21.
    • Handle: RePEc:aen:journl:2003v24-01-a01
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=1400
    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. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    3. Xavier Labandeira & José María Labeaga & Miguel Rodríguez, 2008. "The Costs of Kyoto Adjustments for Spanish Households," Working Papers 2008-02, FEDEA.
    4. Toner, Jeremy & Wardman, Mark & Shires, Jeremy & Teklu, Fitsum & Hatfield, Andrew, 2020. "Enhancing rail direct demand models with competition between ticket types using contributions from economic theory and market research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 127-144.
    5. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    6. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.
    7. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2018. "How household transportation expenditures have evolved in Canada: a long term perspective," Transportation, Springer, vol. 45(5), pages 1297-1317, September.
    8. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
    9. Desiderio Romero-Jordán & José Félix Sanz-Sanz, 2009. "Energy Taxes and Household Compliance with the Kyoto Protocol," Public Finance Review, , vol. 37(2), pages 142-169, March.
    10. Tiezzi, Silvia & Verde, Stefano F., 2016. "Differential demand response to gasoline taxes and gasoline prices in the U.S," Resource and Energy Economics, Elsevier, vol. 44(C), pages 71-91.
    11. Barron, John M. & Umbeck, John R. & Waddell, Glen R., 2008. "Consumer and competitor reactions: Evidence from a field experiment," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 517-531, March.
    12. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    13. Sakar Hasan Hamza & Qingna Li, 2023. "The Dynamics of US Gasoline Demand and Its Prediction: An Extended Dynamic Model Averaging Approach," Energies, MDPI, vol. 16(12), pages 1-13, June.
    14. Silvia Tiezzi & Stefano F. Verde, 2019. "The signaling effect of gasoline taxes and its distributional implications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 145-169, June.
    15. Bonilla, David & Schmitz, Klaus E. & Akisawa, Atsushi, 2012. "Demand for mini cars and large cars; decay effects, and gasoline demand in Japan," Energy Policy, Elsevier, vol. 50(C), pages 217-227.

    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:2003v24-01-a01. 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.