Income is a stronger predictor of subjective social class in more economically unequal places.
Details
Download: Kim_Sommet_2023_PSPB.pdf (478.93 [Ko])
State: Public
Version: Final published version
License: Not specified
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_3D3138C6E7A0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Income is a stronger predictor of subjective social class in more economically unequal places.
Journal
Personality & social psychology bulletin
ISSN
1552-7433 (Electronic)
ISSN-L
0146-1672
Publication state
Published
Issued date
25/11/2023
Peer-reviewed
Oui
Pages
1461672231210772
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Publication Status: aheadofprint
Abstract
In this research, we examine how the lay conceptualization of subjective social class varies based on economic contexts. We argue that income should be a more central component of subjective social class in areas with higher income inequality. To address the issue of low power in existing research, we combined local-level income inequality indicators with large-scale repeated cross-sectional data, enabling the most reliable test to date on how the relationship between income and subjective social class is moderated by inequality. We used nationally representative datasets from the United States and South Korea (encompassing 25,000+ participants from 1,246 regional-year units). In both cultural contexts, our multilevel models revealed that income is a stronger predictor of subjective social class in regions with higher levels of income inequality. This work advances the theoretical and empirical understanding of how income and income inequality interact to shape the perception of one's position in the social hierarchy.
Keywords
Social Psychology, class identification, income, income inequality, multilevel modeling, subjective social class
Pubmed
Web of science
Open Access
Yes
Create date
04/12/2023 14:22
Last modification date
01/11/2024 14:02