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Freight Transportation Activity, Business Cycles and Trend Growth

Author

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  • Andersson, Fredrik N G

    (Department of Economics, Lund University)

  • Elger, Thomas

    (Department of Economics, Lund University)

Abstract

This paper studies empirical linkages between cycles and trends in freight transportation activity and real economic activity in Sweden. We find that cycles in freight transportation are highly contemporaneously correlated with cycles in economic variables over both the short run and the medium run. The pattern of long run growth in freight transportation activity coincides with growth in economic variables during long periods, but there are also periods with substantial differences. Furthermore, we observe and explain a large decline in trend growth in tonne-kilometres by road from the mid-nineties and onwards.

Suggested Citation

  • Andersson, Fredrik N G & Elger, Thomas, 2007. "Freight Transportation Activity, Business Cycles and Trend Growth," Working Papers 2007:15, Lund University, Department of Economics.
    • Handle: RePEc:hhs:lunewp:2007_015
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    File URL: http://project.nek.lu.se/publications/workpap/Papers/WP07_15.pdf
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    References listed on IDEAS

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    1. Lahiri, Kajal & Yao, Vincent Wenxiong, 2006. "Economic indicators for the US transportation sector," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 872-887, December.
    2. Ramanathan, R., 2001. "The long-run behaviour of transport performance in India: a cointegration approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 309-320, May.
    3. Alan S. Blinder & Louis J. Maccini, 1991. "Taking Stock: A Critical Assessment of Recent Research on Inventories," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 73-96, Winter.
    4. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    5. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
    6. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    7. Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.
    8. Jesper Lindé, 2004. "Swedish Postwar Business Cycles: Generated Abroad or at Home?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(4), pages 623-645, December.
    9. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    10. Moses Abramovitz, 1950. "Inventories and Business Cycles, with Special Reference to Manufacturers' Inventories," NBER Books, National Bureau of Economic Research, Inc, number abra50-1.
    11. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
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    Cited by:

    1. Krüger, Niclas A., 2012. "Estimating traffic demand risk – A multiscale analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1741-1751.

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    More about this item

    Keywords

    freight transportation; business cycles; trend growth; decoupling; efficiency;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • E29 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Other
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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