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The (very) short-term price elasticity of German electricity demand

Author

Listed:
  • Hirth, Lion
  • Khanna, Tarun
  • Ruhnau, Oliver
Abstract
Electricity is a peculiar economic good, the most important reason being that it needs to be supplied at the very moment of consumption. As a result, wholesale electricity prices fluctuate widely at hourly or sub-hourly time scales, regularly reaching multiples of their average, and even turn negative. This paper examines whether the demand for electricity responds to such price variations in the very short term. To solve the classical identification problem when estimating a demand curve, we use weather-driven wind energy generation as an instrument. Our robustness checks confirm that wind energy is indeed a strong and valid instrument. Using data from Germany, we estimate that a 1 €/MWh increase in the wholesale electricity price causes the aggregate electricity demand to decline by 67–80 MW or 0.12–0.14%, contradicting the conventional wisdom that electricity demand is highly price-inelastic. These estimates are statistically significant and robust across model specifications, estimators, and sensitivity analyses. At average price and demand, our estimates correspond to a price elasticity of demand of about –0.05. Comparing situations with high and low wind energy (5–95th percentile), we estimate that prices vary by 26 €/MWh, and the corresponding demand response to wholesale electricity prices is about 2 GW, or 2.6% of peak load. Our analysis suggests that the demand response in Germany can be attributed primarily to industrial consumers.

Suggested Citation

  • Hirth, Lion & Khanna, Tarun & Ruhnau, Oliver, 2022. "The (very) short-term price elasticity of German electricity demand," EconStor Preprints 249570, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:249570
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    References listed on IDEAS

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    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Lucas W. Davis, 2021. "What Matters for Electrification? Evidence from 70 Years of U.S. Home Heating Choices," NBER Working Papers 28324, National Bureau of Economic Research, Inc.
    3. repec:fth:prinin:455 is not listed on IDEAS
    4. Kathryn Graddy, 2006. "Markets: The Fulton Fish Market," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 207-220, Spring.
    5. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    6. Ruhnau, O. & Bucksteeg, M. & Ritter, D. & Schmitz, R. & Böttger, D. & Koch, M. & Pöstges, A. & Wiedmann, M. & Hirth, L., 2022. "Why electricity market models yield different results: Carbon pricing in a model-comparison experiment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    7. Hirth, Lion & Mühlenpfordt, Jonathan & Bulkeley, Marisa, 2018. "The ENTSO-E Transparency Platform – A review of Europe’s most ambitious electricity data platform," Applied Energy, Elsevier, vol. 225(C), pages 1054-1067.
    8. Lion Hirth, Falko Ueckerdt, and Ottmar Edenhofer, 2016. "Why Wind Is Not Coal: On the Economics of Electricity Generation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    9. Liebl, Dominik, 2013. "Modeling and Forecasting Electricity Spot Prices: A Functional Data Perspective," MPRA Paper 50881, University Library of Munich, Germany.
    10. Giampiero Marra & Simon N. Wood, 2012. "Coverage Properties of Confidence Intervals for Generalized Additive Model Components," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 39(1), pages 53-74, March.
    11. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    12. Bönte, Werner & Nielen, Sebastian & Valitov, Niyaz & Engelmeyer, Torben, 2015. "Price elasticity of demand in the EPEX spot market for electricity—New empirical evidence," Economics Letters, Elsevier, vol. 135(C), pages 5-8.
    13. Hirth, Lion & Ruhnau, Oliver & Sgarlato, Raffaele, 2021. "The European Electricity Market Model EMMA - Model Description," EconStor Preprints 244592, ZBW - Leibniz Information Centre for Economics.
    14. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    15. Kosater, Peter & Mosler, Karl, 2006. "Can Markov regime-switching models improve power-price forecasts? Evidence from German daily power prices," Applied Energy, Elsevier, vol. 83(9), pages 943-958, September.
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    Cited by:

    1. Oliver Ruhnau & Clemens Stiewe & Jarusch Muessel & Lion Hirth, 2023. "Natural gas savings in Germany during the 2022 energy crisis," Nature Energy, Nature, vol. 8(6), pages 621-628, June.
    2. 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; price elasticity; demand response; instrumental variables;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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