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Default effect versus active decision: Evidence from a field experiment in Los Alamos

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  • Wang, Wenjie
  • Ida, Takanori
  • Shimada, Hideki

Abstract

We examine how consumers respond to distinct combinations of preset defaults and subsequent economic incentives. A randomised controlled trial is implemented to investigate the demand reduction performance of two electricity pricing programmes: opt-in and opt-out critical peak pricing. Both the intention-to-treat and the treatment-on-the-treated are more pronounced for customers assigned to the opt-in group, and the opt-in treatment effects are relatively more persistent over repeated interventions. This result suggests that the opt-in type active enrolment itself had an impact on customers’ subsequent behaviour and made them more responsive to the treatment interventions. Moreover, only the opt-in treatment has significant effects beyond the treatment time window. Our results, therefore, highlight the important difference between an active and a passive decision-making process. We also estimate a marginal treatment effect model to inform the external validity of our experiment.

Suggested Citation

  • Wang, Wenjie & Ida, Takanori & Shimada, Hideki, 2020. "Default effect versus active decision: Evidence from a field experiment in Los Alamos," European Economic Review, Elsevier, vol. 128(C).
  • Handle: RePEc:eee:eecrev:v:128:y:2020:i:c:s001429212030129x
    DOI: 10.1016/j.euroecorev.2020.103498
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    as
    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. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    3. Thomas Cornelissen & Christian Dustmann & Anna Raute & Uta Schönberg, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2356-2409.
    4. Amanda Kowalski, 2016. "Doing more when you're running LATE: Applying marginal treatment effect methods to examine treatment effect heterogeneity in experiments," Artefactual Field Experiments 00560, The Field Experiments Website.
    5. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    6. Ahmad Faruqui & Sanem Sergici, 2011. "Dynamic pricing of electricity in the mid-Atlantic region: econometric results from the Baltimore gas and electric company experiment," Journal of Regulatory Economics, Springer, vol. 40(1), pages 82-109, August.
    7. Christian N. Brinch & Magne Mogstad & Matthew Wiswall, 2017. "Beyond LATE with a Discrete Instrument," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 985-1039.
    8. Patrick Kline & Christopher R. Walters, 2016. "Evaluating Public Programs with Close Substitutes: The Case of HeadStart," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1795-1848.
    9. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    10. Richard H. Thaler & Cass R. Sunstein, 2023. "Libertarian paternalism," Chapters, in: Cass R. Sunstein & Lucia A. Reisch (ed.), Research Handbook on Nudges and Society, chapter 1, pages 10-16, Edward Elgar Publishing.
    11. Felix Ebeling & Sebastian Lotz, 2015. "Domestic uptake of green energy promoted by opt-out tariffs," Nature Climate Change, Nature, vol. 5(9), pages 868-871, September.
    12. 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.
    13. Raj Chetty & John N. Friedman & Søren Leth-Petersen & Torben Heien Nielsen & Tore Olsen, 2014. "Active vs. Passive Decisions and Crowd-Out in Retirement Savings Accounts: Evidence from Denmark," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(3), pages 1141-1219.
    14. Nicole Maestas & Kathleen J. Mullen & Alexander Strand, 2013. "Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt," American Economic Review, American Economic Association, vol. 103(5), pages 1797-1829, August.
    15. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    16. Alec Brandon & John A. List & Robert D. Metcalfe & Michael K. Price & Florian Rundhammer, 2019. "Testing for crowd out in social nudges: Evidence from a natural field experiment in the market for electricity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(12), pages 5293-5298, March.
    17. 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.
    18. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    19. Paul J. Ferraro & Michael K. Price, 2013. "Using Nonpecuniary Strategies to Influence Behavior: Evidence from a Large-Scale Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 64-73, March.
    20. Brigitte C. Madrian & Dennis F. Shea, 2001. "The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1149-1187.
    21. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    22. Felfe, Christina & Lalive, Rafael, 2018. "Does early child care affect children's development?," Journal of Public Economics, Elsevier, vol. 159(C), pages 33-53.
    23. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2002. "Defined Contribution Pensions: Plan Rules, Participant Choices, and the Path of Least Resistance," NBER Chapters, in: Tax Policy and the Economy, Volume 16, pages 67-114, National Bureau of Economic Research, Inc.
    24. Cass R. Sunstein & Richard H. Thaler, 2003. "Libertarian paternalism is not an oxymoron," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 48(Jun).
    25. Philipp Eisenhauer & James J. Heckman & Edward Vytlacil, 2015. "The Generalized Roy Model and the Cost-Benefit Analysis of Social Programs," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 413-443.
    26. 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.
    27. Frank A. Wolak, 2011. "Do Residential Customers Respond to Hourly Prices? Evidence from a Dynamic Pricing Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 83-87, May.
    28. Amanda E. Kowalski, 2016. "Doing More When You're Running LATE: Applying Marginal Treatment Effect Methods to Examine Treatment Effect Heterogeneity in Experiments for the Young and Privately Insured"," Cowles Foundation Discussion Papers 2045, Cowles Foundation for Research in Economics, Yale University.
    29. S. Borenstein, 2013. "Effective and Equitable Adoption of Opt-In Residential Dynamic Electricity Pricing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(2), pages 127-160, March.
    30. Ahmad Faruqui, Sanem Sergici, and Lamine Akaba, 2014. "The Impact of Dynamic Pricing on Residential and Small Commercial and Industrial Usage: New Experimental Evidence from Connecticut," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    31. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    32. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
    33. 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.
    34. Jachimowicz, Jon M. & Duncan, Shannon & Weber, Elke U. & Johnson, Eric J., 2019. "When and why defaults influence decisions: a meta-analysis of default effects," Behavioural Public Policy, Cambridge University Press, vol. 3(2), pages 159-186, November.
    35. Stefano DellaVigna & Ulrike Malmendier, 2006. "Paying Not to Go to the Gym," American Economic Review, American Economic Association, vol. 96(3), pages 694-719, June.
    36. Paul J. Ferraro & Juan Jose Miranda & Michael K. Price, 2011. "The Persistence of Treatment Effects with Norm-Based Policy Instruments: Evidence from a Randomized Environmental Policy Experiment," American Economic Review, American Economic Association, vol. 101(3), pages 318-322, May.
    37. Koichiro Ito & Takanori Ida & Makoto Tanaka, 2018. "Moral Suasion and Economic Incentives: Field Experimental Evidence from Energy Demand," American Economic Journal: Economic Policy, American Economic Association, vol. 10(1), pages 240-267, February.
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    More about this item

    Keywords

    Field experiment; Default effect; Opt-in; Opt-out; Electricity pricing; Local average treatment effect; Marginal treatment effect; Extrapolation;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • 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
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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