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On Nudging: A Review of Nudge: Improving Decisions About Health, Wealth and Happiness by Richard H. Thaler and Cass R. Sunstein
Abstract
This paper reviews the case for libertarian paternalism presented by Thaler and Sunstein in Nudge. Thaler and Sunstein argue that individuals’ preferences are often incoherent, making paternalism is unavoidable; however, paternalistic interventions should ‘nudge’ individuals without restricting their choices, and should nudge them towards what they would have chosen had they not been subject to specific limitations of rationality. I argue that the latter criterion provides inadequate guidance to nudgers. It is inescapably normative, and so allows nudgers’ conceptions of well‐being to override those of nudgees. Even if nudgees’ rationality were unbounded, their revealed preferences might still be incoherent.
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Citations
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Thaler, R. H., & Sunstein, C. R. (2003) · American Economic Review · doi:10.1257/000282803321947001 · Cited by 1,874
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Metadata
- Authors
- Sugden, R.
- Venue
- International Journal of the Economics of Business
- Publisher
- Informa UK Limited
- Published
- 2009-11
- Volume
- 16
- Issue
- 3
- Pages
- 365-373
- ISSN
- 1357-1516 (ISSN-L)
- 1466-1829
- OpenAlex
- W2163566780
- Cited by
- 535
- References
- 1
- Type
- book review
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: On Nudging: A Review of Nudge: Improving Decisions About Health, Wealth and Happiness by Richard H. Thaler and Cass R. Sunstein. https://app.cochat.ai/papers/10.1080/13571510903227064
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- Sugden, R. (2009). On Nudging: A Review of Nudge: Improving Decisions About Health, Wealth and Happiness by Richard H. Thaler and Cass R. Sunstein. International Journal of the Economics of Business. https://doi.org/10.1080/13571510903227064
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
