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Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet

  • Tiwari, Aviral Kumar

The cross wavelet analysis is used in the study to decompose the time–frequency effects of oil price changes on the German macroeconomy. We argue that the relationship between oil prices and industrial production is ambiguous. Our results show that there are both phase and anti-phase relationships between oil price returns and inflation and in most of the cases inflation is the leading variable. Additional evidence shows that there is a huge inconsistency between the phase-difference of the return series of oil price and industrial production at the 12–16month frequency bands but at the 16–24month frequency bands, we find that oil price changes that have occurred during 1982–2009 were demand-driven. In a nutshell our results suggest that oil price changes that have occurred after 1994 were demand-driven and the volatility of the inflation rate started to decrease after the 1990s but the volatility of the industrial output growth rate started to decrease after the 2000s.

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Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 30 (2013)
Issue (Month): C ()
Pages: 636-642

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Handle: RePEc:eee:ecmode:v:30:y:2013:i:c:p:636-642
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  1. Naccache, Théo, 2011. "Oil price cycles and wavelets," Energy Economics, Elsevier, vol. 33(2), pages 338-352, March.
  2. Luis Aguiar-Conraria & Yi Wen, 2006. "Understanding the large negative impact of oil shocks," Working Papers 2005-042, Federal Reserve Bank of St. Louis.
  3. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-48, April.
  4. Hooker, Mark A., 1996. "What happened to the oil price-macroeconomy relationship?," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 195-213, October.
  5. Marc Gronwald, 2009. "Reconsidering the macroeconomics of the oil price in Germany: testing for causality in the frequency domain," Empirical Economics, Springer, vol. 36(2), pages 441-453, May.
  6. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
  7. C. Baumeister & G. Peersman, 2008. "Time-Varying Effects of Oil Supply Shocks on the US Economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/515, Ghent University, Faculty of Economics and Business Administration.
  8. Sharif Md. Raihan & Yi Wen & Bing Zeng, 2005. "Wavelet: a new tool for business cycle analysis," Working Papers 2005-050, Federal Reserve Bank of St. Louis.
  9. Clive, W.J. & Lin, Jin-Lung, 1995. "Causality in the Long Run," Econometric Theory, Cambridge University Press, vol. 11(03), pages 530-536, June.
  10. Kilian, Lutz, 2006. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," CEPR Discussion Papers 5994, C.E.P.R. Discussion Papers.
  11. Gisser, Micha & Goodwin, Thomas H, 1986. "Crude Oil and the Macroeconomy: Tests of Some Popular Notions: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(1), pages 95-103, February.
  12. James D. Hamilton, 1985. "Historical Causes of Postwar Oil Shocks and Recessions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 97-116.
  13. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
  14. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
  15. Hooker, Mark A., 1996. "This is what happened to the oil price-macroeconomy relationship: Reply," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 221-222, October.
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