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Published By The Russian Presidential Academy Of National Economy And Public Administration

1993-7601
Updated Wednesday, 20 October 2021

2021 ◽  
Vol 62 ◽  
pp. 125-143
Author(s):  
Elena Kotyrlo ◽  
◽  
Ilya Bulgakov ◽  

We explore the relationship between fatherhood and marriage and male labour outcomes. We challenge the direction of causality. The difference in differences method for three periods (before, per year, and after an event in family life) allows establishing whether changes in family life follow changes in work life or vice versa. The results are obtained using data from RLMS‐HSE for individuals and households in the period 2014–2017. We find limited confirmation of individual effects. They can be attributed to both direct and inverse relationships between male labour outcome and changes in family life.


2021 ◽  
Vol 63 ◽  
pp. 117-141
Author(s):  
A.A. Skrobotov ◽  
Keyword(s):  

2021 ◽  
Vol 63 ◽  
pp. 76-90
Author(s):  
B.S. Potanin ◽  
◽  
Ju.S. Trifonov ◽  
Keyword(s):  

2021 ◽  
Vol 62 ◽  
pp. 32-53
Author(s):  
Anna Lukyanova ◽  

This paper examines whether non‐cognitive skills (personality traits and risk attitudes) influence self‐selection into employment and the choice between the public and private sectors and, if so, how they relate to wages in each sector. The methodology combines multinomial logistic regression to model the patterns of selection with an Oaxaca–Blinder‐type decomposition of the intersectoral wage gap. I find that personality traits have a substantial effect on selection into employment and the preferences towards the private sector. They have a significant, albeit small, effect on wages in both sectors. The magnitude of these effects is the same across sectors and non‐cognitive skills do not contribute to the intersectoral wage gap at the mean. At the same time, accounting for the endogeneity of sectoral attainment eliminates the intersectoral gap: in 2016, the unexplained conditional wage gap can be completely attributed to self‐selection.


2021 ◽  
Vol 61 ◽  
pp. 5-27
Author(s):  
M.B. Petrov ◽  
◽  
L.A. Serkov ◽  
K.B. Kozhov ◽  
◽  
...  

2021 ◽  
Vol 63 ◽  
pp. 76-90
Author(s):  
Bogdan Potanin ◽  
◽  
Juri Trifonov ◽  
Keyword(s):  

2021 ◽  
Vol 62 ◽  
pp. 5-31
Author(s):  
Sergey Roshchin ◽  
◽  
Natalya Yemelina ◽  

This study introduces a comparative analysis of the gender wage gap decomposition methods with the Russian Longitudinal Monitoring Survey (RLMS) data for 2018. To decompose the differences in average wages, approaches based on the Oaxaca–Blinder decomposition are used. Apart from the mean wages, the study focuses on other distribution statistics. Using the quantile regressions, the wage gap between men and women is decomposed for the distribution parameters such as median, lower and upper deciles. The decomposition estimates of conditional and unconditional (based on recentered influence functions) quantile regressions are compared.


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