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

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  • 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
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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Xavier Labandeira & José María Labeaga & Miguel Rodríguez, 2008. "The Costs of Kyoto Adjustments for Spanish Households," Working Papers 2008-02, FEDEA.
    11. 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.
    12. 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.
    13. 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.
    14. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    15. 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.

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    JEL classification:

    • F0 - International Economics - - General

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