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Modeling gasoline demand in the United States: A flexible semiparametric approach

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  • Liu, Weiwei

Abstract

The focus of this paper is on the modeling and estimation of quarterly state-level gasoline demand in the United States. The existing literature may not appropriately evaluate the price elasticity and income elasticity of gasoline demand. Most studies fail to address the possible heterogeneity in gasoline demand elasticities that may arise from a variety of sources. The endogeneity issue of gasoline price has remained redundant throughout the literature. I address these challenges using a flexible demand model and a recently developed estimation technique. The econometric approach allows for functional coefficients to accommodate the heterogeneity in demand elasticities. Several instrumental variables are used to investigate the endogeneity of gasoline price. The estimation results provide strong evidence of heterogeneous gasoline demand elasticities across states and over time. Some state-level attributes along with income and macroeconomic shocks are the potential sources of heterogeneity.

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  • Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
  • Handle: RePEc:eee:eneeco:v:45:y:2014:i:c:p:244-253
    DOI: 10.1016/j.eneco.2014.07.004
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    6. Chen, Haotian & Smyth, Russell & Zhang, Xibin, 2017. "A Bayesian sampling approach to measuring the price responsiveness of gasoline demand using a constrained partially linear model," Energy Economics, Elsevier, vol. 67(C), pages 346-354.
    7. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    8. Mauricio Vaz Lobo Bittencourt & Leonardo Chaves Borges Cardoso & Elena Grace Irwin, 2016. "Biofuels Policies And Fuel Demand Elasticities In Brazil: An Iv Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Frondel, Manuel & Marggraf, Clemens & Sommer, Stephan & Vance, Colin, 2021. "Reducing vehicle cold start emissions through carbon pricing: Evidence from Germany," Ruhr Economic Papers 896, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. 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.
    11. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2019. "Testing for Correlated Factor Loadings in Cross Sectionally Dependent Panels," SERIES 02-2019, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Jun 2019.
    12. Thomas M. Fullerton, Jr. & Jorge A. Ibarra Salazar & Mario Elizalde, 2015. "Microeconomic Gasoline Consumption Anomalies in Mexico: 1997-2007," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(4), pages 709-722, April.
    13. Kakali Kanjilal & Sajal Ghosh, 2018. "Revisiting income and price elasticity of gasoline demand in India: new evidence from cointegration tests," Empirical Economics, Springer, vol. 55(4), pages 1869-1888, December.
    14. Goetzke, Frank & Vance, Colin, 2021. "An increasing gasoline price elasticity in the United States?," Energy Economics, Elsevier, vol. 95(C).
    15. Cardoso, Leonardo C.B. & Bittencourt, Maurício V.L. & Litt, Wade H. & Irwin, Elena G., 2019. "Biofuels policies and fuel demand elasticities in Brazil," Energy Policy, Elsevier, vol. 128(C), pages 296-305.
    16. Baratsas, Stefanos G. & Niziolek, Alexander M. & Onel, Onur & Matthews, Logan R. & Floudas, Christodoulos A. & Hallermann, Detlef R. & Sorescu, Sorin M. & Pistikopoulos, Efstratios N., 2022. "A novel quantitative forecasting framework in energy with applications in designing energy-intelligent tax policies," Applied Energy, Elsevier, vol. 305(C).
    17. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    18. Alberini, Anna & Horvath, Marco & Vance, Colin, 2021. "Drive less, drive better, or both? Behavioral adjustments to fuel price changes in Germany," Ruhr Economic Papers 892, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. 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.
    20. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    21. Goetzke, Frank & Vance, Colin, 2018. "Is gasoline price elasticity in the United States increasing? Evidence from the 2009 and 2017 national household travel surveys," Ruhr Economic Papers 765, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Gillingham, Kenneth & Jenn, Alan & Azevedo, Inês M.L., 2015. "Heterogeneity in the response to gasoline prices: Evidence from Pennsylvania and implications for the rebound effect," Energy Economics, Elsevier, vol. 52(S1), pages 41-52.
    23. Silvia Tiezzi & Stefano F. Verde, 2017. "The signaling effect of gasoline taxes and its distributional implications," RSCAS Working Papers 2017/06, European University Institute.
    24. Leonid Galchynskyi, 2020. "Estimation of the price elasticity of petroleum products’ consumption in Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 315-339, June.

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    More about this item

    Keywords

    Gasoline demand; Price elasticity; Income elasticity; Semiparametric estimation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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