Life Satisfaction, Subjective Wealth, and Adaptation to Vulnerability in the Russian Federation during 2002-2019

Hai-Anh Dang (), Kseniya Abanokova () and Michael Lokshin
Additional contact information
Kseniya Abanokova: World Bank and National Research University Higher School of Economics

Hacienda Pública Española / Review of Public Economics, 2023, vol. 247, issue 4, 125-153

Abstract: We offer the first study on vulnerability adaptation to subjective well-being, using rich panel data over the past two decades for Russia. We found no adaption to vulnerability for life satisfaction and subjective wealth, with longer vulnerability spells associated with more negative subjective welfare. Some evidence indicates that despite little differences between urban and rural areas in life satisfaction, rural areas exhibit a more robust lack of adaptation for subjective wealth, particularly for longer durations of vulnerability. More education generally indicates a stronger lack of adaptation for life satisfaction, but similar levels of adaptation for subjective wealth.

Keywords: Vulnerability; Adaptation; Satisfaction; Subjective wealth; Gender; Panel data; Russia. (search for similar items in EconPapers)
JEL-codes: D6 I3 O1 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://hpe-rpe.org/wp-admin/admin-ajax.php?juwpfi ... d9db79f3ae&preview=1 (application/pdf)

Related works:
Working Paper: Life satisfaction, subjective wealth, and adaptation to vulnerability in the Russian Federation during 2002-2019 (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hpe:journl:y:2023:v:247:i:4:p:125-153

Access Statistics for this article

More articles in Hacienda Pública Española / Review of Public Economics from IEF Contact information at EDIRC.
Bibliographic data for series maintained by Miguel Gómez de Antonio ().