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Decomposing the Wedge: Mechanisms Driving the Gap Between Projected and Realized Returns in Energy Efficiency Programs

Author

Listed:
  • Christensen, Peter
  • Francisco, Paul
  • Myers, Erica
  • Nogueira Meirelles De Souza, Mateus
Abstract
No abstract is available for this item.

Suggested Citation

  • Christensen, Peter & Francisco, Paul & Myers, Erica & Nogueira Meirelles De Souza, Mateus, 2019. "Decomposing the Wedge: Mechanisms Driving the Gap Between Projected and Realized Returns in Energy Efficiency Programs," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291226, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea19:291226
    DOI: 10.22004/ag.econ.291226
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    File URL: https://ageconsearch.umn.edu/record/291226/files/Abstracts_19_05_15_15_52_39_54__130_126_255_177_0.pdf
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    Citations

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    Cited by:

    1. Crampes, Claude & Léautier, Thomas-Olivier, 2020. "White certificates and competition," TSE Working Papers 20-1167, Toulouse School of Economics (TSE).
    2. Lauren Giandomenico & Maya Papineau & Nicholas Rivers, 2022. "A Systematic Review of Energy Efficiency Home Retrofit Evaluation Studies," Annual Review of Resource Economics, Annual Reviews, vol. 14(1), pages 689-708, October.
    3. Singhal, Puja & Hobbs, Andrew, 2021. "The Distribution of Energy Efficiency and Regional Inequality," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242343, Verein für Socialpolitik / German Economic Association.
    4. Chabé-Ferret, Sylvain & Voia, Anca, 2019. "Are Grassland Conservation Programs a Cost-Effective Way to Fight Climate Change? Evidence from France," SocArXiv cx8j6, Center for Open Science.
    5. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, vol. 14(14), pages 1-24, July.

    More about this item

    Keywords

    Resource/ Energy Economics and Policy;

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