Cited by 417Psychological Well-being and Life SatisfactionQuality of Life MeasurementPsychometric Methodologies and Testing

How Can Measures of Subjective Well-Being Be Used to Inform Public Policy?

Dolan, Paul, White, Mathew P.·2007·Perspectives on Psychological Science

Abstract

The debate surrounding the use of subjective measures of well-being for policy purposes has intensified in recent years. Many social scientists are arguing that the time is right for policymakers to extend their traditional focus on material well-being and economic development to include the impact policies have on how people think and feel about their lives. However, policymakers may have many legitimate goals beyond making people happy. In this article, we begin by presenting three archetypal accounts of well-being that policymakers could use to guide policy (mental-state, objective-list, and desire-fulfillment accounts) and discussing some of the normative and methodological limitations of each. We discuss how a subjective (mental-state) approach could be used to aid the achievement of objective-list and desire-fulfillment policy goals. We then consider ways in which a subjective approach may benefit policymakers in its own right, such as by aiding the valuation of hard-to-quantify costs and benefits, providing a standard unit of measurement for comparisons of well-being across domains, and helping to set policy defaults. We conclude with a discussion of some of the remaining measurement issues and general policy implications.

Integrity signals

Registry

Crossref · 10.1111/j.1745-6916.2007.00030.x

Cites

153 of 153 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Using SWB data as a 'yardstick' could allow for the ranking of options across very different policy domains.

    “Using SWB data as a 'yardstick' could allow for the ranking of options across very different policy domains (Donovan and Halpern, 2002;Dolan and White, 2007).”

Cites

Flagged first, then by citations

4 of the 157 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Dolan, P., & White, M. P.
Affiliations
  • Imperial College London (GB)
  • University of Plymouth (GB)
Corresponding author
Dolan, Paul
Venue
Perspectives on Psychological Science
Published
2007-03
Volume
2
Issue
1
Pages
71-85
ISSN
  • 1745-6916 (ISSN-L)
  • 1745-6924
OpenAlex
W2150551066
Cited by
416
References
157
Citations by year
2026: 14 · 2025: 21 · 2024: 29 · 2023: 21 · 2022: 22 · 2021: 34 · 2020: 19 · 2019: 29 · 2018: 22 · 2017: 22 · 2016: 17 · 2015: 28 · 2014: 34 · 2013: 17 · 2012: 21
FWCI
23.85
Type
journal article
Language
en
Open access
closed
Locations
  • Perspectives on Psychological Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
  • Social Sciences › Sociology and Political Science › Quality of Life Measurement
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
subjective well-being, public policy, policy objectives, cost-benefit valuation, well-being measurement, material well-being

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review