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When are consumers responding to electricity prices? An hourly pattern of demand elasticity

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  • Knaut, Andreas

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

  • Paulus, Simon

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI))

Abstract

System security in electricity markets relies crucially on the interaction between demand and supply over time. However, research on electricity markets has been mainly focusing on the supply side arguing that demand is rather inelastic. Assuming perfectly inelastic demand might lead to delusive statements regarding the price formation in electricity markets. In this article we quantify the short-run price elasticity of electricity demand in the German day-ahead market and show that demand is adjusting to price movements in the short-run. We are able to solve the simultaneity problem of demand and supply for the German market by incorporating variable renewable electricity generation for the estimation of electricity prices in our econometric approach. We find a daily pattern for demand elasticity on the German day-ahead market where price-induced demand response occurs in early morning and late afternoon hours. Consequently, price elasticity is lowest at night times and during the day. Our measured price elasticity peaks at a value of approximately -0.13 implying that a one percent increase in price reduces demand by 0.13 percent.

Suggested Citation

  • Knaut, Andreas & Paulus, Simon, 2016. "When are consumers responding to electricity prices? An hourly pattern of demand elasticity," EWI Working Papers 2016-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 16 Mar 2017.
  • Handle: RePEc:ris:ewikln:2016_007
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    References listed on IDEAS

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    Cited by:

    1. Knaut, Andreas & Paschmann, Martin, 2017. "Price Volatility in Commodity Markets with Restricted Participation," EWI Working Papers 2017-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    2. Sergei Kulakov, 2020. "X-Model: Further Development and Possible Modifications," Forecasting, MDPI, vol. 2(1), pages 1-16, February.
    3. Sergei Kulakov & Florian Ziel, 2019. "Determining Fundamental Supply and Demand Curves in a Wholesale Electricity Market," Papers 1903.11383, arXiv.org, revised Nov 2019.
    4. Hortay, Olivér & Szőke, Tamás, 2019. "Keresleti árrugalmasság becslése a magyar villamosenergia-piacon [Estimating demand-price elasticity on the Hungarian electric energy market]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 788-804.
    5. Obermüller, Frank, 2017. "Explaining Electricity Forward Premiums - Evidence for the Weather Uncertainty Effect," EWI Working Papers 2017-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    6. Koolen, Derck & Huisman, Ronald & Ketter, Wolfgang, 2022. "Decision strategies in sequential power markets with renewable energy," Energy Policy, Elsevier, vol. 167(C).

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    More about this item

    Keywords

    Electricity Markets; Hourly Price Elasticity of Demand; Empirical Demand Analysis;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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