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Does Information Feedback from In-Home Devices Reduce Electricity Use? Evidence from a Field Experiment

Author

Listed:
  • Shahzeen Z. Attari
  • Gautam Gowrisankaran
  • Troy Simpson
  • Sabine M. Marx

Abstract

There is limited evidence of behavioral changes resulting from electricity information feedback. Using a randomized control trial from a New York apartment building, we study long-term effects of information feedback from “Modlet” in-home devices, which provide near-real-time plug-level information. We find a 12–23% decrease in electricity use for treatment apartments, concentrated among individuals reporting higher willingness-to-pay for an energy monitoring system. Decrease in overall electricity use is similar among treatment apartments which received Modlets and those which declined Modlets, and does not specifically occur for outlets with Modlets. This decrease may be due to a Hawthorne or salience effect.

Suggested Citation

  • Shahzeen Z. Attari & Gautam Gowrisankaran & Troy Simpson & Sabine M. Marx, 2014. "Does Information Feedback from In-Home Devices Reduce Electricity Use? Evidence from a Field Experiment," NBER Working Papers 20809, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20809
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    1. Attari, Shahzeen Z. & Schoen, Mary & Davidson, Cliff I. & DeKay, Michael L. & Bruine de Bruin, Wändi & Dawes, Robyn & Small, Mitchell J., 2009. "Preferences for change: Do individuals prefer voluntary actions, soft regulations, or hard regulations to decrease fossil fuel consumption?," Ecological Economics, Elsevier, vol. 68(6), pages 1701-1710, April.
    2. Hunt Allcott & Todd Rogers, 2012. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," NBER Working Papers 18492, National Bureau of Economic Research, Inc.
    3. Kahn, Matthew & Wolak, Frank, 2013. "Using Information to Improve the Effectiveness of Nonlinear Pricing: Evidence from a Field Experiment," MPRA Paper 106089, University Library of Munich, Germany.
    4. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    5. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    6. Carrie Armel, K. & Gupta, Abhay & Shrimali, Gireesh & Albert, Adrian, 2013. "Is disaggregation the holy grail of energy efficiency? The case of electricity," Energy Policy, Elsevier, vol. 52(C), pages 213-234.
    7. Kempton, Willett & Montgomery, Laura, 1982. "Folk quantification of energy," Energy, Elsevier, vol. 7(10), pages 817-827.
    8. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
    9. Christian L. E. Franzke, 2014. "Nonlinear climate change," Nature Climate Change, Nature, vol. 4(6), pages 423-424, June.
    10. repec:aen:journl:ej34-1-04 is not listed on IDEAS
    11. Katrina Jessoe & David Rapson, 2014. "Knowledge Is (Less) Power: Experimental Evidence from Residential Energy Use," American Economic Review, American Economic Association, vol. 104(4), pages 1417-1438, April.
    12. Arik Levinson, 2014. "How Much Energy Do Building Energy Codes Really Save? Evidence from California," NBER Working Papers 20797, National Bureau of Economic Research, Inc.
    13. Noah J. Goldstein & Robert B. Cialdini & Vladas Griskevicius, 2008. "A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(3), pages 472-482, March.
    14. repec:aen:journl:2005v26-03-a05 is not listed on IDEAS
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    Cited by:

    1. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., 2018. "Testing the behavior of rationally inattentive consumers in a residential water market," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 344-359.
    2. Matteo Fontana & Massimo Tavoni & Simone Vantini, 2019. "Functional Data Analysis of high-frequency load curves reveals drivers of residential electricity consumption," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    3. Wang, Xiangrui & Lee, Jukwan & Yan, Jia & Thompson, Gary D., "undated". "Modeling Rational But Inattentive Consumer’s Residential Water Demand," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258555, Agricultural and Applied Economics Association.
    4. Fuhai Hong & Tanjim Hossain & John A. List & Migiwa Tanaka, 2018. "Testing The Theory Of Multitasking: Evidence From A Natural Field Experiment In Chinese Factories," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 511-536, May.
    5. Matsukawa, Isamu, 2018. "Information acquisition and residential electricity consumption: Evidence from a field experiment," Resource and Energy Economics, Elsevier, vol. 53(C), pages 1-19.

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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