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Residential electricity demand for Spain: new empirical evidence using aggregated data


  • Blazquez Leticia

    () (Department of Spanish and International Economics, Econometrics and Economic History and Institutions)

  • Nina Boogen

    () (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich)

  • Massimo Filippini

    () (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich and Department of Economics, University of Lugano, Switzerland)


This paper presents an empirical analysis on the residential demand for electricity. This analysis has been performed using aggregate panel data at the province level for 47 Spanish provinces for the period from 2000 to 2008. For this purpose, we estimated a log-log demand equation for electricity consumption using a dynamic partial adjustment approach. This dynamic demand function has been estimated using OLS, a fixed effect model, and a GMM estimator proposed by Blundell and Bond (1998). The purpose of this empirical analysis has been to highlight some of the characteristics of the Spanish residential electricity demand. Particular attention has been paid to the influence of price, income, and weather conditions on electricity demand. The estimated short and long-run own price elasticities are, as expected, negative, but lower than 1. Furthermore, weather variables have a significant impact on electricity demand.

Suggested Citation

  • Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.
  • Handle: RePEc:cee:wpcepe:12-82

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    Cited by:

    1. Dicembrino, Claudio & Trovato, Giovanni, 2013. "Structural Breaks, Price and Income Elasticity, and Forecast of the Monthly Italian Electricity Demand," MPRA Paper 47653, University Library of Munich, Germany.
    2. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    3. Radulescu, Doina & Pavanini, Nicola & Feger, Fabian, 2016. "Welfare and Redistribution Effects of Alternative Tariffs in Energy Markets with Solar Power," Annual Conference 2016 (Augsburg): Demographic Change 145669, Verein für Socialpolitik / German Economic Association.
    4. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Gautam, Tej & Paudel, Krishna, 2016. "The Demand For Electricity And Natural Gas In The Northeastern United States," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230114, Southern Agricultural Economics Association.

    More about this item


    residential electricity demand; panel data; partial adjustment model; aggregate data;

    JEL classification:

    • D - Microeconomics
    • D2 - Microeconomics - - Production and Organizations
    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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