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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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    1. Abadie, Alberto & Gay, Sebastien, 2006. "The impact of presumed consent legislation on cadaveric organ donation: A cross-country study," Journal of Health Economics, Elsevier, vol. 25(4), pages 599-620, July.
    2. James M. Sallee, 2014. "Rational Inattention and Energy Efficiency," Journal of Law and Economics, University of Chicago Press, vol. 57(3), pages 781-820.
    3. Gabriel D. Carroll & James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Optimal Defaults and Active Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1639-1674.
    4. Jonathan D. Ketcham & Nicolai V. Kuminoff & Christopher A. Powers, 2016. "Estimating the Heterogeneous Welfare Effects of Choice Architecture: An Application to the Medicare Prescription Drug Insurance Market," NBER Working Papers 22732, National Bureau of Economic Research, Inc.
    5. Severin Borenstein & Stephen Holland, 2005. "On the Efficiency of Competitive Electricity Markets with Time-Invariant Retail Prices," RAND Journal of Economics, The RAND Corporation, vol. 36(3), pages 469-493, Autumn.
    6. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    7. Benjamin R. Handel & Jonathan T. Kolstad, 2015. "Health Insurance for "Humans": Information Frictions, Plan Choice, and Consumer Welfare," American Economic Review, American Economic Association, vol. 105(8), pages 2449-2500, August.
    8. B. Douglas Bernheim & Andrey Fradkin & Igor Popov, 2015. "The Welfare Economics of Default Options in 401(k) Plans," American Economic Review, American Economic Association, vol. 105(9), pages 2798-2837, September.
    9. Benjamin R. Handel, 2013. "Adverse Selection and Inertia in Health Insurance Markets: When Nudging Hurts," American Economic Review, American Economic Association, vol. 103(7), pages 2643-2682, December.
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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. Carmine Ornaghi & Mirco Tonin, 2018. "Water Tariffs and Consumers' Inaction," BEMPS - Bozen Economics & Management Paper Series BEMPS50, Faculty of Economics and Management at the Free University of Bozen.
    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. 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).
    17. 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).
    18. 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.
    19. 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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