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Trends in world energy prices

  • Ghoshray, Atanu
  • Johnson, Ben

The correct identification of the time series path of non-renewable energy resources has far reaching consequences for economists and policymakers alike. This study builds on the existing literature by employing a data series that includes a sample period of institutional change and recently developed unit root testing procedures. Besides crude oil, natural gas and coal prices are also examined, aiming to further the knowledge of non-renewable energy resource time paths in order to inform future research and update the conclusions of past studies. The unit root tests allow for structural breaks and are based on the procedures developed by Zivot and Andrews (1992), Lumsdaine and Papell (1997) and Lee and Strazicich (2003). Finally, we investigate whether the trend changes signs in the regimes which are bounded by the structural breaks and quantify the prevalence of the trends over the sample period considered. The results show that the trend is not well represented by a single positive or negative trend. The variability of the trend suggests that forecasting energy prices should not typically occur about a single trend.

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Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 32 (2010)
Issue (Month): 5 (September)
Pages: 1147-1156

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Handle: RePEc:eee:eneeco:v:32:y:2010:i:5:p:1147-1156
Contact details of provider: Web page: http://www.elsevier.com/locate/eneco

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  1. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
  2. Alan A. Carruth & Mark A. Hooker & Andrew J. Oswald, 1998. "Unemployment Equilibria And Input Prices: Theory And Evidence From The United States," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 621-628, November.
  3. Apostolos Serletis, 1992. "Unit Root Behavior in Energy Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 119-128.
  4. Lutz Kilian, 2008. "Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 216-240, May.
  5. Kellard, Neil & Wohar, Mark E., 2006. "On the prevalence of trends in primary commodity prices," Journal of Development Economics, Elsevier, vol. 79(1), pages 146-167, February.
  6. Maslyuk, Svetlana & Smyth, Russell, 2008. "Unit root properties of crude oil spot and futures prices," Energy Policy, Elsevier, vol. 36(7), pages 2591-2600, July.
  7. Katarina Juselius & David F. Hendry, 2000. "Explaining Cointegration Analysis: Part II," Discussion Papers 00-20, University of Copenhagen. Department of Economics.
  8. S. Gurcan Gulen, 1997. "Regionalization in the World Crude Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 109-126.
  9. Sadorsky, Perry, 1999. "Oil price shocks and stock market activity," Energy Economics, Elsevier, vol. 21(5), pages 449-469, October.
  10. Carlos Coimbra & Paulo Soares Esteves, 2004. "Oil price assumptions in macroeconomic forecasts: should we follow futures market expectations?," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 28(2), pages 87-106, 06.
  11. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  12. Leybourne, S J & McCabe, B P M, 1994. "A Consistent Test for a Unit Root," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 157-66, April.
  13. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
  14. Lee, Junsoo & List, John A. & Strazicich, Mark C., 2006. "Non-renewable resource prices: Deterministic or stochastic trends?," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 354-370, May.
  15. Hong Liang & C. John McDermott & Paul Cashin, 1999. "How Persistent Are Shocks to World Commodity Prices?," IMF Working Papers 99/80, International Monetary Fund.
  16. Slade, Margaret E., 1988. "Grade selection under uncertainty: Least cost last and other anomalies," Journal of Environmental Economics and Management, Elsevier, vol. 15(2), pages 189-205, June.
  17. 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.
  18. Juncal Cuñado & Fernando Pérez de Gracia, 2001. "Do oil price shocks matter? Evidence for some European countries," Working Papers 01-02, Asociación Española de Economía y Finanzas Internacionales.
  19. Ahrens, W. Ashley & Sharma, Vijaya R., 1997. "Trends in Natural Resource Commodity Prices: Deterministic or Stochastic?," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 59-74, May.
  20. Pierre Perron & Robert J. Shiller, 1984. "Testing the Random Walk Hypothesis: Power Versus Frequency of Observation," Cowles Foundation Discussion Papers 732, Cowles Foundation for Research in Economics, Yale University.
  21. Perron, P., 1987. "Test Consistency with Varying Sampling Frequency," Cahiers de recherche 8752, Universite de Montreal, Departement de sciences economiques.
  22. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
  23. Nunes, Luis C & Newbold, Paul & Kuan, Chung-Ming, 1997. "Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis Reconsidered," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 435-48, November.
  24. Bradley Ewing & Cynthia Lay Harter, 2000. "Co-movements of Alaska North Slope and UK Brent crude oil prices," Applied Economics Letters, Taylor & Francis Journals, vol. 7(8), pages 553-558.
  25. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
  26. Dan Black & Terra McKinnish & Seth Sanders, 2005. "The Economic Impact Of The Coal Boom And Bust," Economic Journal, Royal Economic Society, vol. 115(503), pages 449-476, 04.
  27. Serena Ng & Pierre Perron, 1997. "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power," Boston College Working Papers in Economics 369, Boston College Department of Economics, revised 01 Sep 2000.
  28. Brooks, Chris & Rew, Alistair G, 2002. "Testing for a Unit Root in a Process Exhibiting a Structural Break in the Presence of GARCH Errors," Computational Economics, Society for Computational Economics, vol. 20(3), pages 157-76, December.
  29. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  30. Alizadeh, Amir H. & Nomikos, Nikos K., 2004. "Cost of carry, causality and arbitrage between oil futures and tanker freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 297-316, July.
  31. S. Gurcan Gulen, 1999. "Regionalization in the World Crude Oil Market: Further Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 125-139.
  32. Berck, Peter & Roberts, Michael, 1996. "Natural Resource Prices: Will They Ever Turn Up?," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 65-78, July.
  33. John H. Cochrane, 1994. "Permanent and Transitory Components of GNP and Stock Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 109(1), pages 241-265.
  34. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.
  35. Postali, Fernando A.S. & Picchetti, Paulo, 2006. "Geometric Brownian Motion and structural breaks in oil prices: A quantitative analysis," Energy Economics, Elsevier, vol. 28(4), pages 506-522, July.
  36. Serletis, Apostolos & Rangel-Ruiz, Ricardo, 2004. "Testing for common features in North American energy markets," Energy Economics, Elsevier, vol. 26(3), pages 401-414, May.
  37. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-87, August.
  38. Krichene, Noureddine, 2002. "World crude oil and natural gas: a demand and supply model," Energy Economics, Elsevier, vol. 24(6), pages 557-576, November.
  39. 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.
  40. H. Peter Boswijk & Franc Klaassen, 2005. "Why Frequency Matters for Unit Root Testing," Tinbergen Institute Discussion Papers 04-119/4, Tinbergen Institute.
  41. Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
  42. Malcolm P. Baker & E. Scott Mayfield & John E. Parsons, 1998. "Alternative Models of Uncertain Commodity Prices for Use with Modern Asset Pricing Methods," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 115-148.
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