Religiosity and Wage Earnings in Post-Soviet Russia

This article empirically studies the relationship between religiosity, to be a believer or not and to what extent, and wage earnings in post-Soviet Russia. Mincer equations are estimated adding religious affiliation and religiosity as explanatory variables and using dynamic specifications, controlli...

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Bibliographic Details
Main Author: Tovar-García, Édgar Demetrio (Author)
Format: Electronic Article
Language:English
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Published: Brill 2020
In: Journal of religion in Europe
Year: 2020, Volume: 13, Issue: 1/2, Pages: 45-66
Standardized Subjects / Keyword chains:B Russia / Denomination (Religion) / Church membership / Gehaltsstruktur
RelBib Classification:AD Sociology of religion; religious policy
CG Christianity and Politics
CH Christianity and Society
KBK Europe (East)
ZA Social sciences
Further subjects:B Mincer equation
B panel data
B Religiosity
B Russia
B wage earnings
Online Access: Volltext (Verlag)
Volltext (lizenzpflichtig)

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520 |a This article empirically studies the relationship between religiosity, to be a believer or not and to what extent, and wage earnings in post-Soviet Russia. Mincer equations are estimated adding religious affiliation and religiosity as explanatory variables and using dynamic specifications, controlling for endogeneity and time-invariant independent variables. The empirical strategy includes working age individuals (eighteen to sixty) and uses longitudinal data (2000-2017). The results suggest that male believers suffer a wage penalty, about 7%. Moreover, on average, Muslims obtain lower earnings than do individuals from other religious affiliations, roughly 21% less income; for female Muslims this figure is even higher, about 38%. Nonetheless, analysing younger individuals (eighteen to forty-two), the findings are slightly different. In this case, female believers suffer a wage penalty, about 5%. The findings are robust under different specifications, controlling for education, work experience, civil status, migration background, ethnicity, city size, occupation, and macroeconomic conditions. 
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