Arbeitspapier

Back to Bentham, Should We? Large-Scale Comparison of Experienced versus Decision Utility

Subjective well-being (SWB) data is increasingly used to perform welfare analyses. In- terpreted as 'experienced utility', SWB has recently been compared to 'decision utility' using specific experiments, most often based on stated preferences. Results point to an overall congruence between these two types of welfare measures. We question whether these findings hold in the more general framework of non-experimental and large-scale data, i.e. the setting commonly used for policy analysis. For individuals in the British household panel, we compare the ordinal preferences either "revealed" from their labor supply decisions or elicited from their reported SWB. The results show striking similari- ties on average, reflecting the fact that a majority of individuals made decisions that are consistent with SWB maximization. Di¤erences between the two welfare measures arise for particular subgroups, lending themselves to intuitive explanations that we illustrate for specific factors (health and labor market constraints, 'focusing illusion', aspirations).

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 52

Klassifikation
Wirtschaft
Design of Experiments: General
General Welfare; Well-Being
Time Allocation and Labor Supply
Thema
decision utility
experienced utility
labor supply
subjective well-being

Ereignis
Geistige Schöpfung
(wer)
Akay, Alpaslan
Bargain, Olivier B.
Jara, H. Xavier
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Maastricht
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Akay, Alpaslan
  • Bargain, Olivier B.
  • Jara, H. Xavier
  • Global Labor Organization (GLO)

Entstanden

  • 2017

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