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Heterogeneous (Mis-) Perceptions of Energy Costs: Implications for Measurement and Policy Design

Author

Listed:
  • Sebastien Houde

    (ETH Zurich, Switzerland)

  • Erica Myers

    (University of Illinois, United States of America)

Abstract

Quantifying heterogeneity in consumers’ misperceptions of product costs is crucial for policy design. We illustrate this point in the energy context and the design of Pigouvian policies. We estimate non-parametric distributions of perceptions of energy costs in the U.S. appliance market using a revealed preference approach. We show that the average degree of misperception is misleading— while the largest share of consumers correctly perceives energy costs, a significant share undervalues them, and smaller shares either significantly overvalues or completely ignores them. We show that setting a tax based on mean misperception deviates substantially from the optimal tax that accounts for heterogeneous misperceptions. While correctly characterizing misperception is crucial for setting optimal Pigouvian taxes for externalities, it is less important for setting optimal standards. We find that standards can largely outperform taxes. Standards’ advantage is they reduce variance in energy operating costs relative to taxes, which internalizes distortionary effects from misperceptions.

Suggested Citation

  • Sebastien Houde & Erica Myers, 2019. "Heterogeneous (Mis-) Perceptions of Energy Costs: Implications for Measurement and Policy Design," CER-ETH Economics working paper series 19/314, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  • Handle: RePEc:eth:wpswif:19-314
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    Cited by:

    1. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," DICE Discussion Papers 326, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Zhang, Xiao-Bing & Fei, Yinxin & Duan, Hongbo & Soytas, Ugur & Crifo, Patricia & Sterner, Thomas, 2025. "Implicit discount rates and energy efficiency gap in air conditioning: Evidence from the Chinese market," Resource and Energy Economics, Elsevier, vol. 82(C).
    3. Lu, Tingmingke, 2023. "Response of new car buyers to alternative energy policies: The role of vehicle use heterogeneity," Economic Modelling, Elsevier, vol. 120(C).
    4. Myers, Erica & Souza, Mateus, 2020. "Social comparison nudges without monetary incentives: Evidence from home energy reports," Journal of Environmental Economics and Management, Elsevier, vol. 101(C).
    5. Kenneth T. Gillingham & Sébastien Houde & Arthur A. van Benthem, 2021. "Consumer Myopia in Vehicle Purchases: Evidence from a Natural Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 13(3), pages 207-238, August.
    6. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2022. "Nonparametric estimation of the random coefficients model: An elastic net approach," Journal of Econometrics, Elsevier, vol. 229(2), pages 299-321.
    7. Antweiler, Werner, 2024. "Carbon pricing and consumer myopia," Ruhr Economic Papers 1140, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Tingmingke Lu, 2025. "Maximum Hallucination Standards for Domain-Specific Large Language Models," Papers 2503.05481, arXiv.org.
    9. Sahari, Anna, 2021. "Household heterogeneity in valuation of heating energy costs," Working Papers 141, VATT Institute for Economic Research.
    10. Andrea La Nauze & Erica Myers, 2023. "Do Consumers Acquire Information Optimally? Experimental Evidence from Energy Efficiency," NBER Working Papers 31742, National Bureau of Economic Research, Inc.
    11. Bishop, Kelly C. & Kiribrahim-Sarikaya, Ozgen, 2024. "Energy-efficient investments in housing," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    12. Heiss, Florian & Hetzenecker, Stephan & Osterhaus, Maximilian, 2019. "Nonparametric estimation of the random coefficients model: An elastic net approach," Ruhr Economic Papers 824, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Gosnell, Greer & McCoy, Daire, 2023. "Market failures and willingness to accept smart meters: Experimental evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    14. Hannah Villeneuve & Ahmed Abdeen & Maya Papineau & Sharane Simon & Cynthia Cruickshank & William O'Brien, 2020. "New insights on the energy impacts of telework," Carleton Economic Papers 20-20, Carleton University, Department of Economics.

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    Keywords

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    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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