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Does energy consumption by the US electric power sector exhibit long memory behavior?

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  • Gil-Alana, Luis A.
  • Loomis, David
  • Payne, James E.

Abstract

This study analyzes energy consumption by the US electric power by various energy sources through fractional integration. In doing so, we are able to determine the level of persistence of the shocks affecting each energy source. The results indicate long memory behavior as each energy source is highly persistent, displaying long memory along with autoregressive behavior and strong seasonal patterns.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 38 (2010)
Issue (Month): 11 (November)
Pages: 7512-7518

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Handle: RePEc:eee:enepol:v:38:y:2010:i:11:p:7512-7518

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Web page: http://www.elsevier.com/locate/enpol

Related research

Keywords: Electric power Long memory Persistence;

References

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  1. J. Joseph Beaulieu & Jeffrey A. Miron, 1992. "Seasonal Unit Roots in Aggregate U.S. Data," NBER Technical Working Papers 0126, National Bureau of Economic Research, Inc.
  2. Diebold, Francis X. & Rudebusch, Glenn D., 1991. "On the power of Dickey-Fuller tests against fractional alternatives," Economics Letters, Elsevier, vol. 35(2), pages 155-160, February.
  3. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
  4. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
  5. Paresh Kumar Narayan & Russell Smyth, 2005. "Are Shocks To Energy Consumption Permanent Or Temporary? Evidence From 182 Countries," Development Research Unit Working Paper Series 06/05, Monash University, Department of Economics.
  6. James E. Payne, 2010. "Survey of the international evidence on the causal relationship between energy consumption and growth," Journal of Economic Studies, Emerald Group Publishing, vol. 37(1), pages 53-95, January.
  7. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  8. Hsu, Yi-Chung & Lee, Chien-Chiang & Lee, Chi-Chuan, 2008. "Revisited: Are shocks to energy consumption permanent or temporary? New evidence from a panel SURADF approach," Energy Economics, Elsevier, vol. 30(5), pages 2314-2330, September.
  9. Lee, Dongin & Schmidt, Peter, 1996. "On the power of the KPSS test of stationarity against fractionally-integrated alternatives," Journal of Econometrics, Elsevier, vol. 73(1), pages 285-302, July.
  10. Chen, Pei-Fen & Lee, Chien-Chiang, 2007. "Is energy consumption per capita broken stationary? New evidence from regional-based panels," Energy Policy, Elsevier, vol. 35(6), pages 3526-3540, June.
  11. Mishra, Vinod & Sharma, Susan & Smyth, Russell, 2009. "Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries," Energy Policy, Elsevier, vol. 37(6), pages 2318-2326, June.
  12. Hassler, Uwe & Wolters, Jurgen, 1994. "On the power of unit root tests against fractional alternatives," Economics Letters, Elsevier, vol. 45(1), pages 1-5, May.
  13. Luis A. Gil-Alana, . "Fractional integration and structural breaks at unknown periods of time," Faculty Working Papers 16/06, School of Economics and Business Administration, University of Navarra.
  14. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
  15. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
  16. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
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Citations

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Cited by:
  1. Xu, Weijun & Sun, Qi & Xiao, Weilin, 2012. "A new energy model to capture the behavior of energy price processes," Economic Modelling, Elsevier, vol. 29(5), pages 1585-1591.
  2. Reiche, Danyel, 2013. "Climate policies in the U.S. at the stakeholder level: A case study of the National Football League," Energy Policy, Elsevier, vol. 60(C), pages 775-784.
  3. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
  4. Smyth, Russell, 2013. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Applied Energy, Elsevier, vol. 104(C), pages 371-378.
  5. Alfredo Marvão Pereira & José Manuel Belbute, 2011. "Final energy demand in Portugal: How persistent it is and why it matters for environmental policy," Economics Working Papers 2_2011, University of Évora, Department of Economics (Portugal).
  6. Hooi Hooi Lean & Russell Smyth, 2012. "Will policies to promote renewable electricity generation be effective? Evidence from panel stationarity and unit root tests for 115 countries," Development Research Unit Working Paper Series 15-12, Monash University, Department of Economics.
  7. Belbute, José, 2013. "Does final demand for energy in Portugal exhibit long memory?," MPRA Paper 45717, University Library of Munich, Germany.
  8. Barros, Carlos Pestana & Gil-Alana, Luis A. & Payne, James E., 2013. "U.S. Disaggregated renewable energy consumption: Persistence and long memory behavior," Energy Economics, Elsevier, vol. 40(C), pages 425-432.
  9. Sun, Qi & Xu, Weijun & Xiao, Weilin, 2013. "An empirical estimation for mean-reverting coal prices with long memory," Economic Modelling, Elsevier, vol. 33(C), pages 174-181.

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