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Motor Vehicle Use and Travel Behaviour in Germany: Determinants of Car Mileage

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  • Dominika Kalinowska
  • Hartmut Kuhfeld

Abstract

In contrast to other countries where official odometer readings are collected when cars are being inspected or whenever there is a change in the registration data, no such information is available in Germany. The published annual figures on mileage of German vehicles result from model calculations, based on different data sources. The last two large surveys on car use were carried out in 1993 and 2002. These data are analyzed to find determinants of car mileage traveled and to check if there was a significant change of average mileage within 10 years. The method used to find determinants of car mileage is a log-linear analysis of variance. In general, average annual mileage for a German passenger car was 13,500 km in 2002, about 5 % less than in 1993 (14,200 km per car). When both privately and business owned cars are included in the models, only car-specific characteristics can be used as explanatory variables. In these models there is a high effect of the survey year on the car mileage even if other variables - as car size, car age, and type of engine - are controlled for. However, if we consider private cars only, additional variables of individual users can be included in the models. In addition to engine type, age of car, horsepower, the age and gender of the driver are central variables explaining car mileage. The dummy variable for the year is significant as well, but its effect on average mileage is lower, although, e.g., fuel prices did rise by 50 % between 1993 and 2002. Obviously the demographic changes in motorization are dominant, while an effect of fuel price increase is not evident - apart from the trend towards diesel cars. These observations confirm research results, stating that individual preference for car use is a high-level inelastic demand.

Suggested Citation

  • Dominika Kalinowska & Hartmut Kuhfeld, 2006. "Motor Vehicle Use and Travel Behaviour in Germany: Determinants of Car Mileage," Discussion Papers of DIW Berlin 602, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp602
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    1. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1995. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.
    2. Wagner Joachim, 2003. "The Impact of Personal Characteristics and the Regional Milieu on the Transition from Unemployment to Self-employment: Empirical Evidence for Germany / Zur Bedeutung von individuellen Charakteristika ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(2), pages 204-222, April.
    3. Blanchflower, David G & Oswald, Andrew J, 1998. "What Makes an Entrepreneur?," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 26-60, January.
    4. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Juergen Schupp & Gert Wagner, 2005. "Individual Risk Attitudes: New Evidence from a Large, Representative, Experimentally-Validated Survey," Working Papers 2096, The Field Experiments Website.
    5. Dunn, Thomas & Holtz-Eakin, Douglas, 2000. "Financial Capital, Human Capital, and the Transition to Self-Employment: Evidence from Intergenerational Links," Journal of Labor Economics, University of Chicago Press, vol. 18(2), pages 282-305, April.
    6. Cramer, J. S. & Hartog, J. & Jonker, N. & Van Praag, C. M., 2002. "Low risk aversion encourages the choice for entrepreneurship: an empirical test of a truism," Journal of Economic Behavior & Organization, Elsevier, vol. 48(1), pages 29-36, May.
    7. Bernard F. Lentz & David N. Laband, 1990. "Entrepreneurial Success and Occupational Inheritance among Proprietors," Canadian Journal of Economics, Canadian Economics Association, vol. 23(3), pages 563-579, August.
    8. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 537-579.
    9. Schiller, Bradley R & Crewson, Philip E, 1997. "Entrepreneurial Origins: A Longitudinal Inquiry," Economic Inquiry, Western Economic Association International, vol. 35(3), pages 523-531, July.
    10. Pia Arenius & Maria Minniti, 2005. "Perceptual Variables and Nascent Entrepreneurship," Small Business Economics, Springer, vol. 24(3), pages 233-247, February.
    11. StewartJr., Wayne H. & Watson, Warren E. & Carland, Joann C. & Carland, James W., 1999. "A proclivity for entrepreneurship: A comparison of entrepreneurs, small business owners, and corporate managers," Journal of Business Venturing, Elsevier, vol. 14(2), pages 189-214, March.
    12. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP) – Scope, Evolution and Enhancements," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 139-169.
    13. Rees, Hedley & Shah, Anup, 1986. "An Empirical Analysis of Self-employment in the U.K," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 95-108, January.
    14. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    15. van Praag, C M & Cramer, J S, 2001. "The Roots of Entrepreneurship and Labour Demand: Individual Ability and Low Risk Aversion," Economica, London School of Economics and Political Science, vol. 68(269), pages 45-62, February.
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    Cited by:

    1. Martin, Niall P.D. & Bishop, Justin D.K. & Choudhary, Ruchi & Boies, Adam M., 2015. "Can UK passenger vehicles be designed to meet 2020 emissions targets? A novel methodology to forecast fuel consumption with uncertainty analysis," Applied Energy, Elsevier, pages 929-939.

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    Keywords

    Travel behavior; car mileage; car use;

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