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Long memory and disaggregated energy consumption: Evidence from fossils, coal and electricity retail in the U.S

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  • Apergis, Nicholas
  • Tsoumas, Chris

Abstract

In this paper, the long memory properties of disaggregated fossils, coal and electricity retail consumption in the U.S. over the 1989–2009 period are examined. The presence of long memory is related to autocorrelation persistence of each series. Our results show that there is heterogeneity in the order of integration between these types of energy consumption and for the different sectors employed, which is affected by the inclusion of a break event. The order of integration was generally higher for the case of a break in the intercept than in the slope, with the latter being more plausible for all series.

Suggested Citation

  • Apergis, Nicholas & Tsoumas, Chris, 2012. "Long memory and disaggregated energy consumption: Evidence from fossils, coal and electricity retail in the U.S," Energy Economics, Elsevier, vol. 34(4), pages 1082-1087.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:4:p:1082-1087
    DOI: 10.1016/j.eneco.2011.09.002
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    Cited by:

    1. José Belbute & Alberto Marvão Pereira, 2015. "Do Global CO2 Emissions from Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis," CEFAGE-UE Working Papers 2015_14, University of Evora, CEFAGE-UE (Portugal).
    2. Belbute, José M. & Pereira, Alfredo M., 2015. "An alternative reference scenario for global CO2 emissions from fuel consumption: An ARFIMA approach," Economics Letters, Elsevier, vol. 136(C), pages 108-111.
    3. José Manuel Belbute & Alfredo Marvão Pereira, 2016. "Does final energy demand in Portugal exhibit long memory? A fractional integration analysis," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(2), pages 59-77, August.
    4. Fallahi, Firouz & Karimi, Mohammad & Voia, Marcel-Cristian, 2016. "Persistence in world energy consumption: Evidence from subsampling confidence intervals," Energy Economics, Elsevier, vol. 57(C), pages 175-183.
    5. José M. Belbute & Alfredo Marvão Pereira, 2016. "Do Global CO2 Emissions from Fossil-Fuel Consumption Exhibit Long Memory? A Fractional Integration Analysis," Working Papers 165, Department of Economics, College of William and Mary.
    6. Borozan, Djula, 2017. "Testing for convergence in electricity consumption across Croatian regions at the consumer's sectoral level," Energy Policy, Elsevier, vol. 102(C), pages 145-153.
    7. Suleyman Bolat & Murat Belke & Necati Celik, 2013. "Mean Reverting Behavior of Energy Consumption: Evidence from Selected MENA Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 315-320.
    8. Emmanuel Anoruo & William R. DiPietro, 2014. "Convergence in Per Capita Energy Consumption among African Countries: Evidence from Sequential Panel Selection Method," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 568-577.
    9. Hooi Hooi Lean & Russell Smyth, 2012. "Are fluctuations in production of renewable energy permanent or transitory?," Monash Economics Working Papers 05-12, Monash University, Department of Economics.
    10. repec:ipg:wpaper:2014-589 is not listed on IDEAS
    11. Lean, Hooi Hooi & Smyth, Russell, 2013. "Are fluctuations in US production of renewable energy permanent or transitory?," Applied Energy, Elsevier, vol. 101(C), pages 483-488.
    12. Yilanci, Veli & Tunali, Çiğdem Börke, 2014. "Are fluctuations in energy consumption transitory or permanent? Evidence from a Fourier LM unit root test," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 20-25.
    13. Ozcan, Burcu & Ozturk, Ilhan, 2016. "A new approach to energy consumption per capita stationarity: Evidence from OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 332-344.
    14. 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.
    15. Paresh Narayan & Russell Smyth, 2014. "Applied Econometrics and a Decade of Energy Economics Research," Monash Economics Working Papers 21-14, Monash University, Department of Economics.
    16. Shahbaz, Muhammad & Khraief, Naceur & Mahalik, Mantu Kumar & Zaman, Khair Uz, 2014. "Are fluctuations in natural gas consumption per capita transitory? Evidence from time series and panel unit root tests," Energy, Elsevier, vol. 78(C), pages 183-195.
    17. Mishra, Vinod & Smyth, Russell, 2014. "Is monthly US natural gas consumption stationary? New evidence from a GARCH unit root test with structural breaks," Energy Policy, Elsevier, vol. 69(C), pages 258-262.
    18. Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
    19. José Belbute & Alfredo M. Pereira, 2016. "Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption," CEFAGE-UE Working Papers 2016_08, University of Evora, CEFAGE-UE (Portugal).
    20. repec:eee:rensus:v:82:y:2018:i:p3:p:2365-2378 is not listed on IDEAS
    21. Firouz Fallahi & Mohammad Karimi & Marcel-Cristian Voia, 2014. "Are Shocks to Energy Consumption Persistent? Evidence from Subsampling Confidence Intervals," Carleton Economic Papers 14-02, Carleton University, Department of Economics.
    22. Svetlana Maslyuk & Dinusha Dharmaratna, 2012. "Impact of Shocks on Australian Coal Mining," Monash Economics Working Papers 37-12, Monash University, Department of Economics.

    More about this item

    Keywords

    Fractional integration; Disaggregated fossils; Coal and electricity retail energy; Structural breaks;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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