Research Topics
Publications on Georgia
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Evaluating the Gender Wage Gap in Georgia, 2004–2011
Working Paper No. 768 | July 2013This paper evaluates the gender wage gap among wage workers along the wage distribution in Georgia between 2004 and 2011, based on the recentered influence function (RIF) decomposition approach developed in Firpo, Fortin, and Lemieux (2009). We find that the gender wage gap decreases along the wage distribution, from 0.64 log points to 0.54 log points. Endowment differences explain between 22 percent and 61 percent of the observed gender wage gap, with the explained proportion declining as we move to the top of the distribution. The primary contributors are the differences in the work hours, industrial composition, and employment in the state sector. A substantial portion of the gap, however, remains unexplained, and can be attributed to the differences in returns, especially in the industrial premia.
The gender wage gap consistently declined between 2004 and 2011. However, the gap remains large, with women earning 45 percent less than men in 2011. The reduction in the gender wage gap between 2004 and 2007, and the switch from a glass-ceiling shape for the gender gap distribution to a sticky-floor shape, was driven by the rising returns in the state sector for men at the bottom, and by women at the top of the wage distribution. Between 2009 and 2011, the decline in the gender wage gap can be explained by the decrease in men’s working hours, which was larger than the decrease in women’s working hours. We assess the robustness of our findings using the statistical matching decomposition method developed in Ñopo (2008) in order to address the possibility that the high degree of industrial segregation may bias our results. The Ñopo decomposition results enrich our understanding of the factors that underlie the gender wage gap but do not alter our key findings, and in fact support their robustness.
This paper is part of the World Bank's gender assessment program in the South Caucasus.Download:Associated Program:Author(s): -
Assessing the Returns to Education in Georgia
Working Paper No. 608 | August 2010The economic returns to education in transition countries have been extensively evaluated in the literature. The present study contributes to this literature by estimating the returns to education in Georgia during the last transition period 2000–04. We find very low returns to education in Georgia and little evidence of an increasing trend in the returns. This picture contrasts with somewhat higher rates of return to education in the mid-1990s in Georgia and the recent estimates from other transition countries. A further analysis of the shifts in the supply and demand for education sheds light on possible causes. In particular, on the supply side, the decline in the quality of education in the 1990s has negated the improvements in the provision of skills needed by market economies during this period. On the demand side, the expansion of the Georgian economy has taken place in the direction of fields such as public administration and education that employ a highly educated workforce but do not remunerate well. Yet it would be a mistake to conclude that education is not a valuable asset in Georgia. The role of education is largely manifested in its impact on the employability of individuals, an issue that has been overlooked in the transition literature. Once this impact is taken into account, education is shown to play an increasingly important role in influencing the earnings of the working population in Georgia. The paper uses the ordinary least squares approach, instrumental variables approach, and sample selection correction, taking into account conditional and unconditional marginal effects of education on earnings.Download:Associated Program:Author(s): -
Explaining the Gender Wage Gap in Georgia
Working Paper No. 577 | September 2009This paper evaluates gender wage differentials in Georgia between 2000 and 2004. Using ordinary least squares, we find that the gender wage gap in Georgia is substantially higher than in other transition countries. Correcting for sample selection bias using the Heckman approach further increases the gender wage gap. The Blinder Oaxaca decomposition results suggest that most of the wage gap remains unexplained. The explained portion of the gap is almost entirely attributed to industrial variables. We find that the gender wage gap in Georgia diminished between 2000 and 2004.
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