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Does Final Energy Demand in Portugal Exhibit Long Memory? A Fractional Integration Analysis

Author

Listed:
  • José M. Belbute

    (Department of Economics, University of Évora, Portugal)

  • Alfredo Marvão Pereira

    (Department of Economics, The College of William and Mary)

Abstract
In this paper, we measure the degree of fractional integration in final energy demand in Portugal using an ARFIMA model with and without adjustments for seasonality. We consider aggregate energy demand as well as final demand for petroleum, electricity, coal, and natural gas. Our findings suggest the presence of long memory in all of the energy demand variables. All fractional-difference parameters are positive and lower than 0.5 indicating that the series are stationary, although the mean reversion process will be slower than in the typical short run processes. These results have important implications for the design of energy policies. The effects of temporary policy shocks on final energy demand will tend to disappear slowly as a result of the long-memory process. This means that even transitory shocks have long lasting effects. Given the temporary nature of these effects, however, permanent effects on final energy demand require permanent policies. This is unlike what would be suggested by the more standard but much more limited unit root approach, which would incorrectly indicate that even transitory policies would have permanent effects.

Suggested Citation

  • José M. Belbute & Alfredo Marvão Pereira, 2015. "Does Final Energy Demand in Portugal Exhibit Long Memory? A Fractional Integration Analysis," Working Papers 163, Department of Economics, College of William and Mary.
    • Handle: RePEc:cwm:wpaper:163
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    File URL: http://economics.wm.edu/wp/cwm_wp163_rev1.pdf
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    References listed on IDEAS

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    3. Lahmiri, Salim & Bekiros, Stelios & Stavroyiannis, Stavros & Babalos, Vassilios, 2018. "Modelling volatility persistence under stochasticity assumptions: evidence from common and alternative investments," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 158-163.

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    More about this item

    Keywords

    Long memory; final energy demand; ARFIMA model; Portugal.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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