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Determinants of new vehicle registrations in EU countries: a panel cointegration analysis

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  • Cumhur Erdem
  • Saban Nazlioglu

Abstract

This paper investigates the determinants of new vehicle registrations in European Union (EU) countries by focusing on four particular segments -- passenger cars, light commercial vehicles, commercial vehicles, and heavy commercial vehicles. A panel cointegration analysis for a panel of 13 EU countries during the period from January 1999 to August 2010 shows that new vehicle sales have long-run cointegration relations with vehicle prices, consumer confidence, income, interest rates, fuel prices, industrial production, and trade. More effective factors in determining new vehicle sales appear to be trade, interest rates, and industrial production.

Suggested Citation

  • Cumhur Erdem & Saban Nazlioglu, 2013. "Determinants of new vehicle registrations in EU countries: a panel cointegration analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(3), pages 287-298, April.
  • Handle: RePEc:taf:transp:v:36:y:2013:i:3:p:287-298
    DOI: 10.1080/03081060.2013.779475
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    References listed on IDEAS

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    1. Anindya Banerjee, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 607-629, November.
    2. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    3. Peter H. Kobos & Jon D. Erickson & Thomas E. Drennen, 2003. "Scenario Analysis of Chinese Passenger Vehicle Growth," Contemporary Economic Policy, Western Economic Association International, vol. 21(2), pages 200-217, April.
    4. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    5. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    6. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    7. Sameer A. Abu-Eisheh & Fred L. Mannering, 2002. "Forecasting Automobile Demand for Economies in Transition: A Dynamic Simultaneous-Equation System Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(4), pages 311-331, January.
    8. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.
    9. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    10. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    11. Carlson, Rodney L, 1978. "Seemingly Unrelated Regression and the Demand for Automobiles of Different Sizes, 1965-75: A Disaggregate Approach," The Journal of Business, University of Chicago Press, vol. 51(2), pages 243-262, April.
    12. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.
    13. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    14. Walter McManus, 2007. "The Link Between Gasoline Prices and Vehicle Sales," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 42(1), pages 53-60, January.
    15. Carlson, Rodney L & Umble, M Michael, 1980. "Statistical Demand Functions for Automobiles and Their Use for Forecasting in an Energy Crisis," The Journal of Business, University of Chicago Press, vol. 53(2), pages 193-204, April.
    16. Banerjee, Anindya, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-629, Special I.
    17. C. Emre Alper & Ayse Mumcu, 2007. "Interaction between price, quality and country of origin when estimating automobile demand: the case of Turkey," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1789-1796.
    18. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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