Can the Introduction of a Minimum Wage in FYR Macedonia Decrease the Gender Wage Gap?

This paper relies on a simple framework to understand the gender wage gap in Macedonia, and simulates how the gender wage gap would behave after the introduction of a minimum wage. First, it presents a newâÃÂÃÂalbeit simpleâÃÂÃÂdecomposition of the wage gap into three factors: (i) a wage level factor, which measures the extent to which the gender gap is driven by differences in wage levels among low-skilled workers of opposite sex; (ii) a skills endowment factor, which quantifies the extent to which the gender wage gap is driven by the difference in the share of high-skilled workers by gender; and (iii) returns to education, which measures the extent to which the gender gap is driven by differences by gender in returns to education. Second, the paper presents simple set of simulations that indicate that the introduction of a minimum wage in Macedonia could contribute to decrease the gender wage gap by up to 23 percent. Nevertheless, in order to significantly improve the wage gap, a rather high minimum wage may be required, which may contribute to reductions in employment.Minimum wages; Gender Gap; Wage Differentials; Macedonia

Can the introduction of a minimum wage in FYR Macedonia decrease the gender wage gap?

This paper relies on simple framework to understand the gender wage gap in Macedonia and then simulates how the gender wage gap would behave after the introduction of a minimum wage. First, it presents a new albeit simple decomposition of the wage gap into three factors: (i) a wage level factor, that measures the extent to which the gender gap is driven by differences in wage levels among low-skilled workers of oppositesex; (ii) an skills endowment factor, that quantifies the extent to which the gender wage gap is driven because the share of high-skilled workers differs by gender; and (iii) returns to education factor, that measures the extent to which the gender gap exists is driven by differences by gender in returns to education. Second, the paper presents simple set of simulations that indicate that the introduction of a minimum wage in Macedonia can contribute to decrease the gender wage gap by up to 23 percent. Nevertheless, in order to get a significant improvement in the wage gap a rather high minimum wage may required, which may contribute to reductions in employment.Labor Markets,,Gender and Development,Labor Policies,Access to Finance

"Explaining the Gender Wage Gap in Georgia"

This 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.

Occupational Segregation and the Gender Wage Gap in Private- and Public-Sector Employment: A Distributional Analysis

We use HILDA data from 2001 - 2006 to analyse the source of the gender wage gap across public- and private-sector wage distributions in Australia. We are particularly interested in the role of gender segregation within sector-specific occupations in explaining relative wages. We find that, irrespective of labour market sector, the gender wage gap among low-paid, Australian workers is more than explained by differences in wage-related characteristics. The gender wage gap among high-wage workers, however, is largely unexplained in both sectors suggesting that glass ceilings (rather than sticky floors) may be prevalent. Gender differences in employment across occupations advantage (rather than disadvantage) all women except those in high-paid, private-sector jobs, while disparity in labour market experience plays a much more important role in explaining relative private-sector wages. Finally, disparity in educational qualifications and demographic characteristics are generally unimportant in explaining the gender wage gap.private and public sector employment, occupational segregation, gender wage gap

Educational Segregation and the Gender Wage Gap for Recent College Graduates in Colombia

In this paper we show the importance of subject of degree in explaining the gender wage gap in Colombia. In order to minimize the influence of gender differences in experience, promotions, and job changes on the wage gap, we focus on college graduates who have a formal job and who have been in the labor market at most one year. Using unique, administrative datasets with detailed subjects of degree, we find that the wage gap against women is on average 11% and that 40% of it can be explained by differences in subject of degree. Using a distributional decomposition, we find an increasing gender wage gap across the distribution of wages (from 2% at the bottom to 15% at the top), although subject of degree explains a lower 30% of the gap at the top. Policies designed to reduce the gender wage gap need to address the differing gender educational choices and the factors that influence them. These policies would be more effective in reducing the gap for median wage earners.gender wage gap, subject of degree, decomposition

Gender Wage Differentials in Uganda: Evidence from the Uganda National Household Survey

This paper investigates the causes of gender wage differentials in Uganda. Given the potential differences in wage setting mechanisms between urban and rural labor markets, we break up the sample between rural and urban sub-samples. We use data from the nationally representative Uganda National Household Survey for 2002-03 (UNHS 2002/03). We employ standard decomposition techniques based on Oaxaca (1973) to decompose the gender wage gap into labor market characteristics and treatment components. The Neumark (1988) decomposition technique is used to address the "index number" problem. Further, self-selection into wage employment is controlled for using the Heckman (1979) two-step sample selection correction technique. Our empirical results suggest that a substantial portion of the gender wage differential results from employer-driven differences in treatment. This is more so in rural areas. Controlling for selection, the unexplained portion of the gender wage gap is between 61 percent and 78 percent in rural areas. In urban areas, the unexplained portion of the gender wage gap is between 41 percent and 68 percent. Further, in urban areas, 24 percent of the gender wage gap is due to nepotism toward males while 22 percent is a result of discrimination against females. In rural areas on the other hand, 68 percent of the gender wage gap is attributed to discrimination against females while only 1 percent is due to nepotism toward males. Working Paper 07-2

Swimming with the tide: solidarity wage policy and the gender earnings gap

The purpose of this paper is to examine the role of wage compression for the gender wage gap in Sweden during the period 1968-1991. We find that the effects of changes in the wage structure on women's wages have varied over time and have had partly counteracting effects. Changes in industry wage differentials have systematically worked against women, while the changes in the returns to human capital and unobserved characteristics have contributed to reductions in the gender wage gap. Changes in the wage structure were particularly important between 1968 and 1974, when the reduction of overall wage inequality was dramatic. In 1981, however, the wage compression effect accounted only for a minor proportion of women's relative wage gains, as compared to 1974. At this time, women gained in relative wages mainly because discrimination was mitigated and/or the gender gap in unobserved skills was reduced. Between 1981 and 1991 there is a small increase in the gender wage gap. This small increase seems to have been driven by changed inter-industry wage differentialsGender wage gap; Wage structure

Rising wage inequality, the decline of collective bargaining, and the gender wage gap

This paper investigates the increase in wage inequality, the decline in collective bargaining, and the development of the gender wage gap in West Germany between 2001 and 2006. Based on detailed linked employer-employee data, we show that wage inequality is rising strongly – driven not only by real wage increases at the top of the wage distribution, but also by real wage losses below the median. Coverage by collective wage bargaining plummets by 16.5 (19.1) percentage points for male (female) employees. Despite these changes, the gender wage gap remains almost constant, with some small gains for women at the bottom and at the top of the wage distribution. A sequential decomposition analysis using quantile regression shows that all workplace related effects (firm effects and bargaining effects) and coefficients for personal characteristics contribute strongly to the rise in wage inequality. Among these, the firm coefficients effect dominates, which is almost exclusively driven by wage differences within and between different industries. Labor demand or firm wage policy related effects contribute to an increase in the gender wage gap. Personal characteristics tend to reduce wage inequality for both, males and females, as well as the gender wage gap. --Distribution,Gender Wage Gap,Collective Bargaining,Quantile Regression,Sequential Decomposition

Gender Pay Gap: A Macro Perspective

This paper examines the factors influencing the gender wage gap by using an unbalanced cross-country aggregated panel data set for a sample covering 53 economies for the period 1995–2010. Using robust estimators proposed by Lewbel (2012) to correct for heterogeneity and endogeneity, results suggest that a higher female share in the industry sector tends to widen the gender wage gap regardless of a country’s development stage. While having more children widens the gender wage gap, as expected, the effect is only statistically significant for developing countries. In developed countries, more labor force participation by women seems to narrow the gender wage gap, probably due to the number of female labor market entrants taking up higher-paying service sector jobs. For developing countries, closing the gender gaps in labor force participation and education is not sufficient to achieve gender wage parity. Higher-paying jobs should be created by developing the service sector in these economies

The gender wage gap

The actual gender wage disparity (which compares the wages of male and female workers with similar labor-force characteristics) is lower than the raw gender earnings gap.Wages ; Discrimination in employment