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Oil price: the nature of the shocks and the impact on the French economy

Listed author(s):
  • J.-B. BERNARD

    (Insee)

  • G. CLÉAUD

    (Insee)

Registered author(s):

    Since the late 70s and the first two oil shocks, many economic studies have explored the link between changes in oil prices and global economic growth. However, the causes of the variations in oil price have changed over this period. Thus the impact of these shocks on the economy may also differ. Developing a structural VAR model and the bootstrap-after-bootstrap methodology, this paper offers to identify three types of exogenous shocks to explain the dynamic of the real price of oil. This study then analyzes the impact on the French economy of these three shocks by identifying the channels through which these effects transit with a VARX model integrating data on exports and interest rates. We find that the effects of an increase in the real price of oil, and the channels through which it affects the French economy, greatly differ depending on the nature of the shocks. The 80s were mostly dominated by oil supply shocks. Restricting oil production results in a significant decrease in the French Gross Domestic Product (GDP). The shock of the late 2000s can be explained by the development of global activity and the high demand for oil in emerging economies. A positive global activity shock causes a significant increase in French GDP, while the general price level is not impacted by the increase in oil prices.

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    File URL: http://www.insee.fr/en/publications-et-services/docs_doc_travail/G2013-09bis.pdf
    File Function: Document de travail de la DESE numéro G2013-09
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    Paper provided by Institut National de la Statistique et des Etudes Economiques, DESE in its series Documents de Travail de la DESE - Working Papers of the DESE with number g2013-09.

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    Date of creation: 2013
    Handle: RePEc:crs:wpdeee:g2013-09
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    1. Robert B. Barsky & Lutz Kilian, 2004. "Oil and the Macroeconomy Since the 1970s," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 115-134, Fall.
    2. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    3. James D. Hamilton, 2011. "Historical Oil Shocks," NBER Working Papers 16790, National Bureau of Economic Research, Inc.
    4. Kilian, Lutz & Chang, Pao-Li, 2000. "How accurate are confidence intervals for impulse responses in large VAR models?," Economics Letters, Elsevier, vol. 69(3), pages 299-307, December.
    5. 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.
    6. Phillips, Peter C. B., 1998. "Impulse response and forecast error variance asymptotics in nonstationary VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 21-56.
    7. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    8. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
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