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Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes

Author

Listed:
  • Eoghan O'Neill

    (Faculty of Economics University of Cambridge)

  • Melvyn Weeks

    (Faculty of Economics and Clare College, University of Cambridge)

Abstract

No abstract is available for this item.

Suggested Citation

  • Eoghan O'Neill & Melvyn Weeks, 2019. "Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes," Working Papers EPRG 1906, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1906
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    File URL: https://www.jbs.cam.ac.uk/wp-content/uploads/2023/12/eprg-wp1906.pdf
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    Citations

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    Cited by:

    1. Stephen Jarvis & Olivier Deschenes & Akshaya Jha, 2022. "The Private and External Costs of Germany’s Nuclear Phase-Out," Journal of the European Economic Association, European Economic Association, vol. 20(3), pages 1311-1346.
    2. Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022. "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers 22-059, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    Machine learning; TOU tariffs; Smart metering; Household electricity demand;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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