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What is an oil shock? Panel data evidence

  • Dong Heon Kim


    (Department of Economics, Korea University)

This paper characterizes the nonlinear relation between oil price change and GDP growth, focusing on the panel data of various industrialized countries. Toward this end, the paper extends a flexible nonlinear inference to the panel data analysis where the random error components are incorporated into the flexible approach. The paper reports clear evidence of nonlinearity in the panel and confirms earlier claims in the literature - oil price increases are much more important than decreases and previous upheaval in oil prices causes the marginal effect of any given oil price change to be reduced. Our result suggests that the nonlinear oil-macroeconomy relation is generally observable over different industrialized countries and it is desirable for one to use the nonlinear function of oil price change for GDP forecast.

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Paper provided by Institute of Economic Research, Korea University in its series Discussion Paper Series with number 1007.

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Date of creation: 2010
Date of revision:
Handle: RePEc:iek:wpaper:1007
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  1. Rebeca Jimenez-Rodriguez & Marcelo Sanchez, 2005. "Oil price shocks and real GDP growth: empirical evidence for some OECD countries," Applied Economics, Taylor & Francis Journals, vol. 37(2), pages 201-228.
  2. James D. Hamilton, 2000. "What is an Oil Shock?," NBER Working Papers 7755, National Bureau of Economic Research, Inc.
  3. D H Kim & D R Osborn & M Sensier, 2002. "Nonlinearity in the Fed's Monetary Policy Rule," The School of Economics Discussion Paper Series 0205, Economics, The University of Manchester.
  4. Loungani, Prakash, 1986. "Oil Price Shocks and the Dispersion Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 68(3), pages 536-39, August.
  5. Swamy, P A V B & Arora, S S, 1972. "The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models," Econometrica, Econometric Society, vol. 40(2), pages 261-75, March.
  6. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November.
  7. Baltagi, Badi H & Pinnoi, Nat, 1995. "Public Capital Stock and State Productivity Growth: Further Evidence from an Error Components Model," Empirical Economics, Springer, vol. 20(2), pages 351-59.
  8. Baltagi, Badi H., 1981. "Pooling : An experimental study of alternative testing and estimation procedures in a two-way error component model," Journal of Econometrics, Elsevier, vol. 17(1), pages 21-49, September.
  9. Hooker, Mark A., 1996. "What happened to the oil price-macroeconomy relationship?," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 195-213, October.
  10. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-58, March.
  11. Cunado, Juncal & Perez de Gracia, Fernando, 2003. "Do oil price shocks matter? Evidence for some European countries," Energy Economics, Elsevier, vol. 25(2), pages 137-154, March.
  12. Robert B. Barsky & Lutz Kilian, 2002. "Do We Really Know that Oil Caused the Great Stagflation? A Monetary Alternative," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 137-198 National Bureau of Economic Research, Inc.
  13. 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.
  14. Knut Anton Mork & Oystein Olsen & Hans Terje Mysen, 1994. "Macroeconomic Responses to Oil Price Increases and Decreases in Seven OECD Countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 19-36.
  15. Sylvain Leduc & Keith Sill, 2001. "A quantitative analysis of oil-price shocks, systematic monetary policy, and economic downturns," Working Papers 01-9, Federal Reserve Bank of Philadelphia.
  16. Davis, Steven J, 1987. "Allocative Disturbances and Specific Capital in Real Business Cycle Theories," American Economic Review, American Economic Association, vol. 77(2), pages 326-32, May.
  17. Hamilton, James D., 1999. "A Parametric Approach to Flexible Nonlinear Inference," University of California at San Diego, Economics Working Paper Series qt68s8157x, Department of Economics, UC San Diego.
  18. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-86, April.
  19. Julio J. Rotemberg & Michael Woodford, 1996. "Imperfect Competition and the Effects of Energy Price Increases on Economic Activity," NBER Working Papers 5634, National Bureau of Economic Research, Inc.
  20. Boehmer, Ekkehart & Megginson, William L, 1990. " Determinants of Secondary Market Prices for Developing Country Syndicated Loans," Journal of Finance, American Finance Association, vol. 45(5), pages 1517-40, December.
  21. Amemiya, Takeshi, 1971. "The Estimation of the Variances in a Variance-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(1), pages 1-13, February.
  22. 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.
  23. Baltagi, Badi H. & Griffin, James M., 1983. "Gasoline demand in the OECD : An application of pooling and testing procedures," European Economic Review, Elsevier, vol. 22(2), pages 117-137, July.
  24. Mork, Knut Anton, 1989. "Oil and Macroeconomy When Prices Go Up and Down: An Extension of Hamilton's Results," Journal of Political Economy, University of Chicago Press, vol. 97(3), pages 740-44, June.
  25. 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.
  26. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2011. "Oil Price Shocks And Industrial Production: Is The Relationship Linear?," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 472-497, November.
  27. Nerlove, Marc, 1971. "A Note on Error Components Models," Econometrica, Econometric Society, vol. 39(2), pages 383-96, March.
  28. Carruth, A.A. & Hooker, M.A. & Oswald, A.J., 1998. "Unemployment Equilibria and Input Prices: Theory and Evidence from the United States," The Warwick Economics Research Paper Series (TWERPS) 496, University of Warwick, Department of Economics.
  29. Steven J. Davis & John Haltiwanger, 1999. "Sectoral Job Creation and Destruction Responses to Oil Price Changes," NBER Working Papers 7095, National Bureau of Economic Research, Inc.
  30. Kiseok Lee & Shawn Ni & Ronald A. Ratti, 1995. "Oil Shocks and the Macroeconomy: The Role of Price Variability," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 39-56.
  31. 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.
  32. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
  33. Breusch, Trevor S., 1987. "Maximum likelihood estimation of random effects models," Journal of Econometrics, Elsevier, vol. 36(3), pages 383-389, November.
  34. Badi H. Baltagi & Seuck H. Song & Byoung C. Jung, 2002. "A comparative study of alternative estimators for the unbalanced two-way error component regression model," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 480-493, 06.
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