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Aggregate Time Series Gasoline Demand Models. Review of the Literature and New Evidence for West Germany

Author

Listed:
  • Blum, U.C.H.
  • Foos, G.
  • Gaudry, M.J.I.

Abstract

In This Article, We Review and Analyse Recent Studies on Aggregate Time Series Gasoline Demand Models, with an Emphasis on the West German Context. We Relate the Most Important National and International Publications in This Area to Categories Which Help to Present and Analyse Results. We Give Special Attention to Results From Germany, Notably to Foos' (1986) Extensive Work Using Flexible Functional Forms.

Suggested Citation

  • Blum, U.C.H. & Foos, G. & Gaudry, M.J.I., 1986. "Aggregate Time Series Gasoline Demand Models. Review of the Literature and New Evidence for West Germany," Cahiers de recherche 8617, Universite de Montreal, Departement de sciences economiques.
    • Handle: RePEc:mtl:montde:8617
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    Citations

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    Cited by:

    1. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
    2. Lin, C.-Y. Cynthia & Zeng, Jieyin (Jean), 2013. "The elasticity of demand for gasoline in China," Energy Policy, Elsevier, vol. 59(C), pages 189-197.
    3. Boysen-Hogrefe, Jens, 2013. "Der Einfluss des Erdölpreises auf die Energiesteuerprognose," Kiel Working Papers 1849, Kiel Institute for the World Economy (IfW Kiel).
    4. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    5. Mohcine Bakhat & Jaume Roselló, 2011. "Tourism Induced Contribution to Diesel Oil and Gasoline Consumption," Working Papers 05-2011, Economics for Energy.
    6. Gaudry, Marc & de Lapparent, Matthieu, 2013. "Part 3. Multivariate road safety models: Future research orientations and current use to forecast performance," Research in Transportation Economics, Elsevier, vol. 37(1), pages 38-56.
    7. Khalid Kisswani, 2014. "OPEC and political considerations when deciding on oil extraction," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(1), pages 96-118, January.
    8. Yang, Dujuan & Timmermans, Harry, 2013. "Analysis of influence of fuel price on individual activity-travel time expenditure," Transport Policy, Elsevier, vol. 30(C), pages 40-55.
    9. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    10. Mundaca, Gabriela, 2017. "How much can CO2 emissions be reduced if fossil fuel subsidies are removed?," Energy Economics, Elsevier, vol. 64(C), pages 91-104.
    11. Ulrich Blum & Marc Gaudry, 2000. "SNUS-2.5, a Multimoment Analysis of Road Demand, Accidents and their Severity in Germany, 1968 – 1989," Working Papers of BETA 2000-11, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    12. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
    13. Tae H. Oum & Waters, W.G. & Jong Say Yong, 1990. "A survey of recent estimates of price elasticities of demand for transport," Policy Research Working Paper Series 359, The World Bank.
    14. Fullerton, Thomas M., Jr. & Munoz Sapien, Gabriel & Barraza de Anda, Martha P. & Dominguez Ruvalcaba, Lisbeily, 2011. "Dinámica del Consumo de Gasolina en Ciudad Juárez, Chihuahua [Gasoline Consumption Dynamics in Ciudad Juárez, Chihuahua]," MPRA Paper 46853, University Library of Munich, Germany, revised 15 Jun 2012.
    15. Mendoza, Miguel Ángel, 2014. "Panorama preliminar de los subsidios y los impuestos a las gasolinas y diésel en los países de América Latina," Documentos de Proyectos 37431, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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    Keywords

    Petrol ; Demand ; Time Series;
    All these keywords.

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