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Dispositional and situational attributions for why the rich live longer than the poor

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posted on 2023-10-25, 09:49 authored by EK Bridger, A Tufte-Hewett, DA Comerford
Despite considerable focus on predictors of attitudes towards economic inequality, there is less psychological research into attitudes towards other unequal outcomes between the rich and poor, including differences in health and life expectancy. Two studies examine whether causal attributions for these socioeconomic health inequalities predict attitudes towards them. A cross-sectional study of 332 UK and US respondents showed that most respondents indicate a preference for some degree of income inequality but no life expectancy inequality between the richest and poorest in society. These preferences for equal life expectancy for the rich and poor were significantly less likely for respondents who viewed health inequalities to be caused by dispositional factors (e.g., self-control, ability or effort). In a second pre-registered cross-sectional study (n = 602), dispositional attributions negatively predicted self-reported concern about health inequality, whilst endorsing situational attributions (e.g., discrimination and prejudice, wages) was positively associated with concerns on this issue. Moreover, situational attributions positively predicted support for six policy proposals for reducing health inequality, while dispositional attributions were associated with increased support for some of these interventions and decreased support for others. Despite very distinct distribution preferences for income and life expectancy outcomes, causal attributions continue to predict attitudes towards health inequality and associated policy interventions.

Funding

British Academy

Leverhulme Trust

History

Author affiliation

School of Psychology and Vision Science, University of Leicester

Version

  • VoR (Version of Record)

Published in

Journal of Applied Social Psychology

Volume

53

Issue

6

Pagination

469 - 481

Publisher

Wiley

issn

0021-9029

eissn

1559-1816

Copyright date

2023

Available date

2023-10-25

Language

en

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