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Motor Vehicle Output and GDP, 1968–2007

Author

Listed:
  • Danilo Santini

    ()

  • David Poyer

    ()

Abstract

In this paper, we assess the performance of the BEA series “value of motor vehicle output” as an indicator of the business cycle over the period 1968–2007. We statistically assess the causal relationship between real motor vehicle output (RMVO) and real gross domestic product (RGDP). This is accomplished by standard estimation and statistical methods used to assess vector autoregressive models. This assessment represents the initial results of a more encompassing research project, the intent of which is to determine the dynamic interaction of the transport sector with the overall economy. It’s a start to a more comprehensive assessment of how transport and economic activity interrelate. Copyright International Atlantic Economic Society 2008

Suggested Citation

  • Danilo Santini & David Poyer, 2008. "Motor Vehicle Output and GDP, 1968–2007," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 36(4), pages 483-491, December.
  • Handle: RePEc:kap:atlecj:v:36:y:2008:i:4:p:483-491
    DOI: 10.1007/s11293-008-9139-5
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    File URL: http://hdl.handle.net/10.1007/s11293-008-9139-5
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    References listed on IDEAS

    as
    1. Hamilton, James D, 1988. "A Neoclassical Model of Unemployment and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 96(3), pages 593-617, June.
    2. Jacobs, Rodney L & Leamer, Edward E & Ward, Michael P, 1979. "Difficulties with Testing for Causation," Economic Inquiry, Western Economic Association International, vol. 17(3), pages 401-413, July.
    3. Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144 Elsevier.
    4. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Business cycles; Vector autoregressive; Applied econometrics; C10; C22; C53; E00; E17; E30; E32; L91;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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