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Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program

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  • Meredith Fowlie
  • Catherine Wolfram
  • C. Anna Spurlock
  • Annika Todd
  • Patrick Baylis
  • Peter Cappers

Abstract

We study default effects in the context of a residential electricity pricing program. We implement a large-scale randomized controlled trial in which one treatment group is given the option to opt-in to time-based pricing while another is defaulted into the program but allowed to opt-out. We provide dramatic evidence of a default effect – a significantly higher fraction of households defaulted onto the time-based pricing plan enroll in the program, even though opting out simply involved making a phone call or clicking through to a website. A distinguishing feature of our empirical setting is that we observe follow-on behavior subsequent to the default manipulation. Specifically, we observe customers’ electricity consumption in light of the pricing plan they face. This, in conjunction with randomization of the default provision, allows us to separately identify the electricity consumption response of “complacent” households (i.e., those who only enroll in time-based pricing if assigned to the opt-out treatment). We find that the complacent households do reduce electricity use during higher priced peak periods, though significantly less on average compared to customers who actively opt in. However, with complacents comprising approximately 75 percent of the population, we observe significantly larger average demand reductions among consumers assigned to the opt-out group. We examine the extent to which the behavioral responses we observe are consistent with a standard model of switching costs, or with alternative mechanisms including inattention, and preferences constructed based on contextual features of the choice setting.

Suggested Citation

  • Meredith Fowlie & Catherine Wolfram & C. Anna Spurlock & Annika Todd & Patrick Baylis & Peter Cappers, 2017. "Default Effects and Follow-On Behavior: Evidence from an Electricity Pricing Program," NBER Working Papers 23553, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23553
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    References listed on IDEAS

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    3. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2023. "Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice," American Economic Review, American Economic Association, vol. 113(11), pages 2937-2973, November.
    4. Kaiser, Micha & Bernauer, Manuela & Sunstein, Cass R. & Reisch, Lucia A., 2020. "The power of green defaults: the impact of regional variation of opt-out tariffs on green energy demand in Germany," Ecological Economics, Elsevier, vol. 174(C).
    5. Ambec, Stefan & Crampes, Claude, 2021. "Real-time electricity pricing to balance green energy intermittency," Energy Economics, Elsevier, vol. 94(C).
    6. Ida, Takanori & Motegi, Naoya & Ushifusa, Yoshiaki, 2019. "Behavioral study of personalized automated demand response in the workplace," Energy Policy, Elsevier, vol. 132(C), pages 1009-1016.
    7. Nolan Ritter & Julia Anna Bingler, 2021. "Do homo sapiens know their prices? Insights on dysfunctional price mechanisms from a large field experiment," CER-ETH Economics working paper series 21/348, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    8. Bryan K. Bollinger & Wesley R. Hartmann, 2020. "Information vs. Automation and Implications for Dynamic Pricing," Management Science, INFORMS, vol. 66(1), pages 290-314, January.
    9. Ornaghi, Carmine & Tonin, Mirco, 2018. "Water Tariffs and Consumers' Inaction," IZA Discussion Papers 11458, Institute of Labor Economics (IZA).
    10. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    11. Harding, Matthew & Kettler, Kyle & Lamarche, Carlos & Ma, Lala, 2023. "The (alleged) environmental and social benefits of dynamic pricing," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 574-593.
    12. Loureiro, Maria & Labandeira, Xavier, 2019. "Exploring Energy Use in Retail Stores: A Field Experiment," Energy Economics, Elsevier, vol. 84(S1).
    13. Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
    14. Bergman, Peter & Lasky-Fink, Jessica & Rogers, Todd, 2020. "Simplification and defaults affect adoption and impact of technology, but decision makers do not realize it," Organizational Behavior and Human Decision Processes, Elsevier, vol. 158(C), pages 66-79.
    15. Gill, Carrie & Lang, Corey, 2018. "Learn to conserve: The effects of in-school energy education on at-home electricity consumption," Energy Policy, Elsevier, vol. 118(C), pages 88-96.
    16. Ross C. Beppler & Daniel C. Matisoff & Matthew E. Oliver, 2023. "Electricity consumption changes following solar adoption: Testing for a solar rebound," Economic Inquiry, Western Economic Association International, vol. 61(1), pages 58-81, January.
    17. Atasoy, Ayse Tugba & Madlener, Reinhard, 2020. "Default vs. Active Choices: An Experiment on Electricity Tariff Switching," FCN Working Papers 7/2020, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    18. Heiss, Florian & Ornaghi, Carmine & Tonin, Mirco, 2021. "Inattention vs switching costs: An analysis of consumers' inaction in choosing a water tariff," DICE Discussion Papers 366, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    19. Zarek Brot-Goldberg & Timothy Layton & Boris Vabson & Adelina Yanyue Wang, 2023. "The Behavioral Foundations of Default Effects: Theory and Evidence from Medicare Part D," American Economic Review, American Economic Association, vol. 113(10), pages 2718-2758, October.
    20. Janusch, Nicholas & Palm-Forster, Leah H. & Messer, Kent D. & Ferraro, Paul J., 2017. "Behavioral Insights for Agri-Environmental Program and Policy Design," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266299, Agricultural and Applied Economics Association.

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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