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Estimating effect of marriage on male wages in Russia

Author

Listed:
  • Elena Kossova
  • Bogdan Potanin
  • Maria Sheluntcova

Abstract

Purpose - Purpose of the article is to investigate the effect of marriage on male wages in Russia. The paper provides insight about contribution of observed and unobserved factors to wages of Russian men regarding their marital status. Design/methodology/approach - Database is the Russian Longitudinal Monitoring Survey (RLMS) for 2016. We add to the literature by introducing Generalized Oaxaca–Blinder Decomposition of the difference in mean wages of married and unmarried men. This generalization is free of conditional mean independence assumption. Findings - We reveal negative observed price effect and substantial positive effect of changes in unobserved characteristics of married and unmarried men in Russia. Originality/value - To our knowledge, our study is the first one that gives estimation of the volume and structure of the male marriage wage premium in Russia. The proposed approach is applicable for estimating labor market premiums and penalties for various individual characteristics.

Suggested Citation

  • Elena Kossova & Bogdan Potanin & Maria Sheluntcova, 2020. "Estimating effect of marriage on male wages in Russia," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1649-1667, April.
    • Handle: RePEc:eme:jespps:jes-04-2019-0184
    DOI: 10.1108/JES-04-2019-0184
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    Citations

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    Cited by:

    1. Kossova, Elena & Potanin, Bogdan, 2022. "Estimation of Gaussian multinomial endogenous switching model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 121-143.
    2. Horie, Norio & Iwasaki, Ichiro & 岩﨑, 一郎, 2022. "Returns to Education in European Emerging Markets: A Meta-Analytic Review," RRC Working Paper Series 95, Russian Research Center, Institute of Economic Research, Hitotsubashi University.

    More about this item

    Keywords

    Marriage premium; Wages; Switching regression; Endogeneity; Oaxaca–Blinder decomposition; Russia; C24; J12; J31;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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