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Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany

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  • Frondel, Manuel
  • Kussel, Gerhard
  • Sommer, Stephan

Abstract

To provide the basis for evaluating the effectiveness of price policies, this paper contributes to the literature by estimating the heterogeneity in the response of residential electricity demand to price increases across household types. Drawing on household panel data from the German Residential Energy Consumption Survey (GRECS) that span over nine years (2006-2014), we gauge the response of residential electricity demand to price increases on the basis of the dynamic Blundell-Bond estimator to account for potential simultaneity and endogeneity problems, as well as Nickell bias. Estimating short- and long-run price elasticities of -0.44 and -0.66, respectively, our results indicate that price measures may be effective in dampening residential electricity consumption, particularly in the long run. Yet, we also find that responses to price changes are very heterogeneous across household groups, an outcome that has important implications for policy-making. Most notably, we do not find any significant price response for lowincome households.

Suggested Citation

  • Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2018. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Ruhr Economic Papers 793, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  • Handle: RePEc:zbw:rwirep:793
    DOI: 10.4419/86788921
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    2. Chlond, Bettina & Goeschl, Timo & Kesternich, Martin, 2022. "More money or better procedures? Evidence from an energy efficiency assistance program," ZEW Discussion Papers 22-020, ZEW - Leibniz Centre for European Economic Research.
    3. Frondel, Manuel, 2019. "CO2-Bepreisung in den nicht in den Emissionshandel integrierten Sektoren: Optionen für eine sozial ausgewogene Ausgestaltung," RWI Materialien 130, RWI - Leibniz-Institut für Wirtschaftsforschung.
    4. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    5. Gholipour, Hassan F. & Arjomandi, Amir & Yam, Sharon, 2022. "Green property finance and CO2 emissions in the building industry," Global Finance Journal, Elsevier, vol. 51(C).
    6. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2021. "Estimating residential electricity demand: New empirical evidence," Energy Policy, Elsevier, vol. 158(C).
    7. Frondel, Manuel & Schubert, Stefanie A., 2021. "Carbon pricing in Germany's road transport and housing sector: Options for reimbursing carbon revenues," Energy Policy, Elsevier, vol. 157(C).
    8. Tomasz Rokicki & Piotr Bórawski & Barbara Gradziuk & Piotr Gradziuk & Aldona Mrówczyńska-Kamińska & Joanna Kozak & Danuta Jolanta Guzal-Dec & Kamil Wojtczuk, 2021. "Differentiation and Changes of Household Electricity Prices in EU Countries," Energies, MDPI, vol. 14(21), pages 1-21, October.
    9. Trotta, Gianluca & Hansen, Anders Rhiger & Sommer, Stephan, 2022. "The price elasticity of residential district heating demand: New evidence from a dynamic panel approach," Energy Economics, Elsevier, vol. 112(C).
    10. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2021. "Photovoltaics and the Solar Rebound: Evidence for Germany," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242356, Verein für Socialpolitik / German Economic Association.
    11. Frondel, Manuel & Sommer, Stephan, 2018. "Der Preis der Energiewende: Anstieg der Kostenbelastung einkommensschwacher Haushalte," RWI Materialien 128, RWI - Leibniz-Institut für Wirtschaftsforschung.
    12. Li, He & Fang, Debin & Zhao, Chaoyang, 2024. "Retail competition among multi-type retail electric providers in social networks," Energy Economics, Elsevier, vol. 132(C).
    13. Li, Chao & Zhang, Yuhan & Li, Xiang & Hao, Yanwei, 2024. "Artificial intelligence, household financial fragility and energy resources consumption: Impacts of digital disruption from a demand-based perspective," Resources Policy, Elsevier, vol. 88(C).
    14. Andor, Mark A. & Lange, Andreas & Sommer, Stephan, 2022. "Fairness and the support of redistributive environmental policies," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    15. Simonovits, András & Kotek, Péter & Horváth, Gábor & Takácsné Tóth, Borbála, 2023. "Az energiaárak támogatása Magyarországon - egy egyszerű modell [Subsidizing energy prices in Hungary - a simple model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 589-612.
    16. Arnold, Fabian & Jeddi, Samir & Sitzmann, Amelie, 2022. "How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV," Energy Economics, Elsevier, vol. 112(C).
    17. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2022. "Photovoltaics and the solar rebound: Evidence for Germany," Ruhr Economic Papers 954, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    More about this item

    Keywords

    dynamic panel methods; instrumental variable approach;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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