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Judging Nudging: Understanding the Welfare Effects of Nudges Versus Taxes

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  • John A. List
  • Matthias Rodemeier
  • Sutanuka Roy
  • Gregory K. Sun

Abstract

While behavioral non-price interventions (“nudges”) have grown from academic curiosity to a bona fide policy tool, their relative economic efficiency remains under-researched. We develop a unified framework to estimate welfare effects of both nudges and taxes, while allowing for normative ambiguity about how nudges map into utility. We showcase our approach by creating a database of more than 300 carefully hand-coded point estimates of non-price and price interventions in the markets for cigarettes, influenza vaccinations, and household energy. While nudges are effective in changing behavior in all three markets, they are not necessarily the most efficient policy. When nudges are debiasing, they are more efficient in the market for cigarettes, while taxes are more efficient in the vaccine and energy market. Interestingly, these conclusions also often hold when nudges are deceptive rather than debiasing. We identify two key factors that govern the difference in results across markets: i) an elasticity-weighted standard deviation of the behavioral bias, and ii) the magnitude of the average externality. Nudges dominate taxes whenever i) exceeds ii). Finally, we consider cases in which nudges cause direct psychic costs or benefits to consumers.

Suggested Citation

  • John A. List & Matthias Rodemeier & Sutanuka Roy & Gregory K. Sun, 2023. "Judging Nudging: Understanding the Welfare Effects of Nudges Versus Taxes," NBER Working Papers 31152, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31152
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    Cited by:

    1. Antinyan, Armenak & Asatryan, Zareh, 2019. "Nudging for tax compliance: A meta-analysis," ZEW Discussion Papers 19-055, ZEW - Leibniz Centre for European Economic Research.
    2. James Alm & Lilith Burgstaller & Arrita Domi & Amanda März & Matthias Kasper, 2023. "Nudges, Boosts, and Sludge: Using New Behavioral Approaches to Improve Tax Compliance," Economies, MDPI, vol. 11(9), pages 1-22, September.
    3. Rodemeier, Matthias, 2023. "Willingness to Pay for Carbon Mitigation: Field Evidence from the Market for Carbon Offsets," IZA Discussion Papers 15939, Institute of Labor Economics (IZA).
    4. Antinyan, Armenak & Corazzini, Luca, 2023. "Breaking the Bag Habit: Testing Interventions to Reduce Plastic Bag Demand in a Developing Country," Cardiff Economics Working Papers E2023/7, Cardiff University, Cardiff Business School, Economics Section.
    5. Löschel, Andreas & Rodemeier, Matthias & Werthschulte, Madeline, 2023. "Can self-set goals encourage resource conservation? Field experimental evidence from a smartphone app," European Economic Review, Elsevier, vol. 160(C).
    6. Daniel Reck & Arthur Seibold, 2023. "The Welfare Economics of Reference Dependence," CRC TR 224 Discussion Paper Series crctr224_2023_450, University of Bonn and University of Mannheim, Germany.
    7. Alt, Marius, 2024. "Better us later than me now —," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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