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Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation

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  • Goette, Lorenz
  • Tiefenbeck, Verena
  • Degen, Kathrin
  • Fleisch, Elgar
  • Tasic, Vojkan
  • Lalive, Rafael
  • Staake, Thorsten

Abstract

Inattention and imperfect information bias behavior toward the salient and immediately visible. This distortion causes costs to individuals, the organizations they work in, and soci- ety at large. We show that an effective way to overcome this bias is making the implications of one’s behavior salient in real time, while individuals can directly adapt. In a large-scale field experiment, we gave participants real-time feedback on the resource consumption of a daily, energy-intensive behavior (showering). We find that real-time feedback reduced re- source consumption for the target behavior by 22%. At the household level, this led to much larger conservation gains in absolute terms than conventional policy interventions that provide aggregate feedback on resource use. High-baseline users displayed a larger conservation effect, in line with the notion that real-time feedback helps eliminate "slack" in resource use. The approach is cost-effective, technically applicable to the vast majority of households, and generated savings of 1.2 kWh per day and household, which exceeds the average energy use for lighting.The intervention also shows how digitalization in our every- day lives makes information available that can help individuals overcome salience bias and act more in line with their preferences.

Suggested Citation

  • Goette, Lorenz & Tiefenbeck, Verena & Degen, Kathrin & Fleisch, Elgar & Tasic, Vojkan & Lalive, Rafael & Staake, Thorsten, 2016. "Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation," CEPR Discussion Papers 11480, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:11480
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    11. Gravert, Christina & Olsson Collentine, Linus, 2021. "When nudges aren’t enough: Norms, incentives and habit formation in public transport usage," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 1-14.
    12. Andor, Mark A. & Gerster, Andreas & Peters, Jörg & Schmidt, Christoph M., 2020. "Social Norms and Energy Conservation Beyond the US," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    13. Louis-Gaëtan Giraudet, 2018. "Energy efficiency as a credence good: A review of informational barriers to building energy savings," Working Papers 2018.07, FAERE - French Association of Environmental and Resource Economists.
    14. Brülisauer, Marcel & Goette, Lorenz & Jiang, Zhengyi & Schmitz, Jan & Schubert, Renate, 2020. "Appliance-specific feedback and social comparisons: Evidence from a field experiment on energy conservation," Energy Policy, Elsevier, vol. 145(C).
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    16. Saeed P. Langarudi & Carlos G. Silva & Alexander G. Fernald, 2021. "Measure more or report faster? Effect of information perception on management of commons," System Dynamics Review, System Dynamics Society, vol. 37(1), pages 72-92, January.
    17. Konstantin Hopf & Mariya Sodenkamp & Thorsten Staake, 2018. "Enhancing energy efficiency in the residential sector with smart meter data analytics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 453-473, November.
    18. Altmann, Steffen & Grunewald, Andreas & Radbruch, Jonas, 2019. "Passive Choices and Cognitive Spillovers," IZA Discussion Papers 12337, Institute of Labor Economics (IZA).
    19. Miyeon Jung & Daegon Cho & Euncheol Shin, 2021. "Repairing a Cracked Mirror: The Heterogeneous Effect of Personalized Digital Nudges Driven by Misperception," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2586-2607, August.
    20. Yurina Otaki & Hidehito Honda & Kazuhiro Ueda, 2020. "Water demand management: Visualising a public good," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
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    More about this item

    Keywords

    Decision making; Energy conservation; Water conservation; Environmental behavior; Randomized controlled trials;
    All these keywords.

    JEL classification:

    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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