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Forecasting energy demand through a dynamic input-output model

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  • Oscar Dejuan

Abstract

This paper builds a dynamic input-output model able to forecast energy demand in Spain in different economic and legislative scenarios. Its main features are: (1) As an input-output model embedded in a social accounting matrix it takes into account the structure of the economy and the relations between sectors (industries) and institutions (households). (2) As an applied general equilibrium model it relates the system of prices and quantities. (3) As a dynamic model it considers the evolution of coefficients and energy multipliers.Â

Suggested Citation

  • Oscar Dejuan, 2015. "Forecasting energy demand through a dynamic input-output model," Economics and Business Letters, Oviedo University Press, vol. 4(3), pages 108-115.
    • Handle: RePEc:ove:journl:aid:10757
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10757
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    References listed on IDEAS

    as
    1. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
    2. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
    3. �scar Deju�n & Luis Antonio L�pez & Mar�a �ngeles Tobarra & Jorge Zafrilla, 2013. "A Post-Keynesian Age Model To Forecast Energy Demand In Spain," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 321-340, September.
    4. Victor Ginsburgh & Michiel Keyzer, 2002. "The Structure of Applied General Equilibrium Models," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571579, December.
    5. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
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