Correlates of Life Satisfaction Inequality in Russia
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Correlates of Life Satisfaction Inequality in Russia Arletta Isaeva 1 & Raufhon Salahodjaev 2,3,4 Received: 20 May 2020 / Accepted: 29 September 2020/ # The International Society for Quality-of-Life Studies (ISQOLS) and Springer Nature B.V. 2020
Abstract This paper investigates the correlates of life satisfaction inequality in Russia between 2010 and 2018, employing Russian Longitudinal Monitoring Survey (RLMS-HSE). Ordinary Least Squares (OLS) regression results revealed that the major correlates of life satisfaction inequality in Russia are unemployment, being out of labor force, higher education and marital status. We confirm inequality-decreasing feature of income, implying that life satisfaction inequality decreases with increasing individual’s income. Moreover, feeling oneself relatively rich associated with lower life satisfaction inequality. Our study reveals income and gender differences in correlates of life satisfaction inequality. Such regional indicators as gross regional product and population are related to life satisfaction inequality in Russia. Keywords Life satisfaction . Inequality . Russia . RLMS-HSE
Introduction Human well-being and quality of life continue to remain one of the most discussible topics among academia and policy makers. The research on the causes and correlates of wellbeing was pioneered by Malthus (1798) and extended with investigation of wealthhappiness interlinkages by Marshal (1920). While Bradburn (1969) finds that individuals’ state of mind is dependent on health, wealth and success, Costa et al. (1987) explain psychological well-being as an index of objective quality of life, that is generally viewed as
* Raufhon Salahodjaev [email protected] Arletta Isaeva [email protected]
1
ERGO Analytics, Tashkent, Uzbekistan
2
Westminster International University in Tashkent, Tashkent, Uzbekistan
3
Tashkent State Economics University, Tashkent, Uzbekistan
4
Tashkent Institute of Finance, Tashkent, Uzbekistan
A. Isaeva, R. Salahodjaev
emotional reactions to circumstances and events. Because research on social indicators enhance the realization of goals in society, the great attention is placed to assess how happy citizens are and what social conditions determines their happiness and therefore quality of life assessment is salient in many countries (Veenhoven 1990). Starting from the 1990’s the research on the determinants of happiness and life satisfaction has proliferated and extended to emotions and beliefs (Suh et al. 1998), work-life conflict (Bonebright et al. 2000), emotional intelligence (Palmer et al. 2002), income (Arthaud-Day and Near 2005), demographic and social structure (Ferriss 2006), age (Jopp and Rott 2006), marriage (Cerami 2010), religion (Okulicz-Kozaryn 2010); gender (Giusta et al. 2011), physical activity and health (Zullig and White 2011), marital quality (Carr et al. 2014); water access (Guardiola et al. 2014), alcohol consumption (Kuroki 2016) and job characteristics (ViñasBardolet et al. 2019). The research on determinants and correlates of
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