Search results

The purpose of this paper is to examine trends in gender inequalities in the Russian labour market between 1994 and 2001, the early period of the transition to the market economy from the old Soviet Union.

The paper examines gender occupational segregation using the dataset from a nationally representative longitudinal survey of Russian households, the Russian Labour Market Survey. The occupational segregation index measure developed by Karmel and Maclachlan, known as the KM Index, is applied and extended by decomposing the index into several components.

The KM Index declined over this period, indicating a reduction in the extent of gender inequality, However, the decomposing of the KM index shows that, in contrast to previous research, the decrease in segregation within individual occupations contributed most of the overall fall in gender segregation. Changes in the overall occupational structure and an increase in female employment contributed, albeit marginally, to an increase in segregation.

Because of the changes which have continued in Russia since 2001, these research results may lack applicability to current emerging economic circumstances in Russia. Therefore, researchers are encouraged to test the proposed propositions further using data for the period 2005 to 2015 once the data become available.

The paper provides rigorous estimates of the trends in gender inequalities at an important period in Russia's economic development and serves as a benchmark for future analysis.

This paper provides new detail on the workings of the Russian labour market during the period of transition and as such provides a base against which changes in gender inequalities since 2001 can be measured.

The purpose of this paper is to analyse determinants of occupational allocation by gender, in Russia, between 1994 and 2001, using the only available nationally representative longitudinal survey (RLMS).

Multinomial logit was chosen as the estimation technique for this analysis.

It was found that gender significantly affects occupational distribution after controlling for human capital and other characteristics during all years. Educational attainment was significant for professionals and technicians/associate professionals, while work experience was significant for craft and plant workers. Marital status did not affect females' occupational allocation while married males were less likely to be unskilled and craft workers. It appears that women performed primarily non‐geographically dependent jobs and the significance of regional variation for females' employment diminished over time. A comparison of the actual and predicted females' occupation distribution revealed a large over‐representation of females in unskilled occupations.

The paper makes an original contribution to our understanding of occupational distribution by demonstrating that occupational segregation by gender is a large and economically significant factor in the Russian labour market, even after controlling for individuals' human capital and personal characteristics and for regional variations. The paper illustrates the extent of this segregation by comparing the actual occupational distribution of females to that which would occur if they faced the same structure of occupational determination as males, i.e. in the absence of discrimination and differences in tastes.