Gender wage gap across the wage distribution in different segments of the Indian labour market, 1983–2012: exploring the glass ceiling or sticky floor phenomenon

Women’s participation in the Indian labour market is not only low but they are also engaged in low-productivity and low-paying jobs. Further, the labour market is segmented by gender, type of employment, sector and location of residence. This study makes an important contribution by examining gender wage gap in India across different segments of the labour market over the wage distribution using national-level representative data spanning the period 1983 to 2012. The empirical results suggest that (i) the male–female raw wage gap has declined over time across the wage distribution, (ii) the gender wage gap attributable to differing returns to characteristics has increased over time and there is evidence of convergence of productive characteristics of men and women, (iii) sticky floor rather than glass ceiling phenomenon is observed in all segments of the labour market and (iv) the adjusted wage gap suggests that women at the bottom of the distribution face higher discrimination than those at the top and this has increased over the years.     

The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach

Using the National Graduates Survey, we examine the trends in the gender wage gap among recent post‐secondary graduates in Canada between 1988 and 2007. Female graduates earn on average 6–14% less than males during the period two to five years after graduation. Decompositions show that observable personal characteristics and job attributes can explain only a small portion of the wage gap. We also find that men earn more than women at every point of the distribution. Interestingly, the wage difference shrank in the lower half of the distribution in recent years, while it increased in the upper half.     

Educational Attainment and the Gender Wage Gap: A Comparison of Young Men and Women in 1984 and 2007

This study pools data from two sources to investigate the role of educational attainment in determining the gender wage gap. The empirical analysis reveals that the returns to education remained largely unchanged for young men but declined significantly for young women over the period 1984–2007. We find significant evidence of a decline in the returns to a Bachelor's degree for young women as well as evidence of increasing wage inequality over time among young men and women with a Bachelor's degree. Also, in 2007, the gender wage gap between young men and women was largest for those with a Bachelor's degree. Further, our analysis suggests that young women with a college education may confront more discrimination in the labor market than young women without a college education. We conclude that promoting educational attainment among young women may be a necessary but not sufficient condition for addressing the gender wage gap.     

Wage differences between Austrian men and women: <Emphasis Type="Italic">semper idem?</Emphasis>

In most OECD countries, the wage gap between men and women has narrowed during the past two decades. Developments of the last 20 years, e.g., increased labour market attachment of women or the introduction of equal pay laws, may have reduced the gender wage gap. We investigate the extent, persistence, and socio-economic determinants of the gender wage gap in Austria, for the years 1983 and 1997. Using wage decomposition techniques, we find that the average gender wage gap was almost as high in 1997 as it was in 1983. Not accounting for differences, the gender wage gap dropped from 25.5 to 23.3% of men’s wages. Taking observable differences between men and women into account, we estimate that the mean gender wage gap that cannot be explained, i.e., discrimination against women, dropped from 17 to 14% of men’s wages. A decomposition of the gender wage gap over time indicates that both returns to human capital and less discrimination were responsible for the narrowing of the gender wage gap.

When does transition increase the gender wage gap?

In the context of underlying stability in female participation rates, the gender wagegap, measured by the log of monthly wages, more than doubled in Belarus from 1996 to 2006. In this respect, the country has experienced a variant of the transition which occurred in the former Soviet Union where relative female wages fell by more than female participation. We have used the Machado and Mata (2005) analysis of the gender gap distribution. This reveals that the effect of coefficients on observed characteristics in widening the gap was increasing over time, especially in the lower and middle deciles of the wage distribution. At the same time, the effect of the characteristics themselves in reducing the gap was shrinking. The decomposition of changes in the gap over time, based on Juhn et al. (1991) , confirms that the contraction of women’s relative wages has been caused both by a deterioration in the observed characteristics of female workers and by the associated remuneration. Changes in the residual wage distribution tend to slightly reduce the gap rather than, as is the case elsewhere, to increase it. The analysis carried out in line with Neuman and Oaxaca (2004) suggests that the increased gap was not caused by sample selection. Instead, two observed factors are found to be mainly responsible for the results: hours of work have increased for men more than for women and women have experienced segregation in low‐wage industries.     

The Persistence of the Female Wage Disadvantage

Studies of the Australian labour market during the 1980s reported that the gender wage differential narrowed. However, a different story emerged during the 1990s when the gender pay gap persisted. A large part of the pay gap is attributable to different 'treatments' of men and women in the labour market. This article examines whether the female wage-disadvantaged state is a temporary or permanent phenomenon. The results show that while there is some mobility in the female wage distribution, there also exists a high degree of stickiness. It is argued that the wage-disadvantaged state for females is generally not a temporary phenomenon.     

Effects of Marriage, Education and Occupation on the Female / Male Wage Gap in China

In the present study the way in which the gender wage gap in urban China differs according to marital status, education and occupation, is examined. Married Chinese women experience much larger absolute gender wage gaps than their unmarried counterparts. The proportion of the gender wage gap unexplained by differences in the levels of productive characteristics is also higher for married women than single women. Gender wage gaps are smaller for more educated women. These findings suggest that occupational segregation is not as important a factor as industrial segregation in accounting for the gender wage gap in China's urban labour markets.     

The gender wage gap in Austria: eppur si muove!

We examine the change of the gender wage gap in Austria between 2002 and 2007 using Juhn et al. (Workers and their wages, AEI Press, Washington DC, pp 107–143, 1991) decomposition. We analyze data from Austrian tax records which we merge with social security records and Austrian micro-censuses of the years 2002 and 2007. We find that the gender wage gap declined from 21 % in 2002 to 18 % in 2007. The main determinant of this decline is the relative improvement of women’s unobserved characteristics. The decline of the gender wage gap is also due to women having attained more formal education and to a convergence of men’s and women’s returns to education. Women’s improved educational attainments were partly offset by a shift in the demand for skilled workers that disadvantaged unskilled workers, most of whom are women, resulting in a moderate decrease of the gender pay gap over these years. Robustness checks confirm our results.     

How wide is the gap? An investigation of gender wage differences using quantile regression

In this paper we re-examine the link between subjective perceptions and objective measures of wage discrimination by estimating the mean and several quantiles in the conditional wage distribution of men and women in order to decompose the gender wage gap into the part attributed to different characteristics and the part attributable to differential returns to these characteristics at points other than the conditional expectation. In the process we take into account the endogeneity of educational choice and the participation decision of women. The results suggest that the absolute wage gap and the component of the latter that can be attributed to different returns to characteristics increase over the wage scale.     

Public Sector Employment,Wage Inequality and the Gender Pay Ratio in the UK

This paper assesses the relative contributions of the different systems of pay determination in the private sector and the public sector toward the changing level of wage inequality and the gender pay ratio in the UK. The greater centralisation of pay arrangements in the public sector compared with the private sector in the UK suggests that public sector employment may have acted to offset the widening wage inequality seen in recent years, as well as making an important contribution to the increase in women's relative average earnings compared to men. This issue is addressed by drawing on unpublished occupational hourly earnings data from the New Earnings Survey and applying decomposition of the Theil index of wage inequality to analyse both static and dynamic trends. The change in wage inequality for the period 1986 to 1995 primarily reflected the change in wage dispersion within the private sector, and the narrowing of the gender pay gap among the public sector workforce was an important factor in explaining the overall improvement in women's relative earnings. The paper argues that the relatively centralised pay arrangements in the public sector, compared with the private sector, played an important role in slowing the increase in wage inequality and narrowing the gender pay gap. As such, future policies to decentralise pay determination in the UK public sector may exacerbate the increasing level of wage inequality and reverse women's recent relative pay improvements.     

A quantitative theory of the gender gap in wages

This paper measures how much of the gender wage gap over the life cycle is due to the fact that working hours are lower for women than for men. We build a quantitative theory of fertility, labor supply, and human capital accumulation decisions to measure gender differences in human capital investments over the life cycle. We assume that there are no gender differences in the human capital technology and calibrate this technology using wage–age profiles of men. The calibration of females assumes that children involves a forced reduction in hours of work that falls on females rather than on males and that there is an exogenous gender gap in hours of work. We find that our theory accounts for all of the increase in the gender wage gap over the life cycle in the NLSY79 data. The impact of children on the labor supply of females accounts for 56% and 45% of the increase in the gender wage gap over the life cycle among non-college and college females, while the rest is due to the exogenous gender differences in hours of work.     

Returns to education and gender gap

The Italian gender wage gap is related to a gap in returns to education which causes a sizable glass ceiling effect. The gap is detected by quantile regressions implemented in different subsets. Quantile regressions allow computation of both the average gap and the divergence in the tails of the wage distribution. Comparison of the equations estimated separately for men and women, reveals a divergence in wage determinants for the average and for all quantiles. The statistical relevance of this divergence is verified by a test of changing coefficients. By repeatedly implementing this test to compare subsets of different regions, cohorts, and education levels, it is possible to rank the factors affecting the gap and to pinpoint at which quantile their impact is greater. Gender turns out to be a relevant source of changes to the coefficients, particularly for the top quantiles, and the regional variable interacts with the returns to education gap, determining a sizeable glass ceiling on southern women’s careers.     

Decomposing Gender Wage Differentials Using Quantile Regression: Evidence from the Lebanese Banking Sector

This paper investigates gender pay inequality in the labor market of a developing country. Our empirical investigation uses data derived from a sample of employees in the Lebanese banking sector for the years 2008 and 2014. Using Blinder-Oaxaca decomposition, the results reveal that the unexplained component of the gender wage gap, attributed to discrimination, represents a substantial share of the total gap. A surprising result is that the contribution of human capital to the gender wage gap is negative, suggesting that wage discrimination is the main explanation for the gap. Utilizing the Machado-Mata methodology to decompose the wage gap across the entire wage distribution, our findings indicate that the unexplained component of the raw gender wage gap is more pronounced at the low and middle ranges of the distribution. However, the explained component dominates at the top of the distribution, suggesting that earnings gaps are fully explained by observed characteristics.     

Evidence on the glass ceiling effect in France using matched worker-firm data

In this article, we investigate the relevance of the glass ceiling hypothesis in France, according to which there exist larger gender wage gaps at the upper tail of the wage distribution. Using a matched worker-firm data set of about 1 30 000 employees and 14 000 employers, we estimate quantile regressions and rely on a principal component analysis to summarize information specific to the firms. Our different results show that accounting for firm-related characteristics reduces the gender earnings gap at the top of the distribution, but the latter still remains much higher at the top than at the bottom. Furthermore, a quantile decomposition shows that the gender wage gap is mainly due to differences in the returns to observed characteristics rather than in differences in characteristics between men and women.     

Swimming with the Tide: Solidary Wage Policy and the Gender Earnings Gap

This paper addresses the consequences 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 been partly counteracting. Changes in industry wage differentials have systematically worked against women, while 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 there was a dramatic reduction in overall wage inequality.
JEL classification : J 16; J 31; J 51     

Decomposing growth in the gender wage gap in urban China: 1989–2011

This paper examines trends in the gender wage gap observed in urban China during the post‐reform era. Using China Health and Nutrition Survey data, changes to the gap between 1989 and 2011 are analyzed using the Wellington decomposition method. While women's gains in observed characteristics have narrowed the wage gap, they are more than offset by changes in the returns to these characteristics. Men's returns to potential labour market experience have grown particularly rapidly, relative to women's, and this represents the single largest contributing factor towards the widening of the gender wage gap. Further investigation explores gender wage patterns through the dimensions of occupation, ownership sector and birth cohort. Taken together, my results raise concerns that China's urban labour market may increasingly disincentivize women's long‐term labour force attachments.     

REMOVING THE “VEIL OF IGNORANCE”: NONLINEARITIES IN EDUCATION EFFECTS ON GENDER WAGE INEQUALITIES

A large literature studies the mean gender wage gap in developing countries and finds mixed evidence about the role of education policies in closing gender earnings inequalities. We contribute to this literature by exploring two types of nonlinearities in wage earning regressions: (1) nonlinearities on the effects of education on expected earnings along the distribution of education endowments; and (2) heterogeneities on the contributions of education to the gender wage gap at different quantiles of the wage distribution. Our analyses provide new insights on how these nonlinear effects can be used to set up better targeted gender and development policies. (JEL I26, C14)     

The Role of Gender among Low-Paid and High-Paid Workers

Using data from the 2001 Australian Census of Population and Housing Household Sample File, this article analyses the gender wage gap across the wage distribution by using a quan‐tile regression approach. The results show that there is a much larger gender wage gap among high‐paid workers than there is among low‐paid workers. Moreover, this wage gap tends to increase reasonably uniformly when one is moving up through the wage distribution. Institutional factors, the work environment and social norms are all areas that may require attention in order to redress the undervaluation of women's skills.     

Sex Differentials in Earnings in the South Korean Labor Market

We examine gender differences in earnings among South Korean workers in 1988 – the year the South Korean National Assembly enacted the Equal Employment Opportunity Act. Using the "88 Occupational Wage Bargaining Survey on the Actual Condition," we calculate women's mean earnings as a percentage of men's mean earnings by major industrial category and educational attainment. We find a larger wage gap among clerical and sales workers than production workers or professionals. Generally, the more education a woman has, the smaller the gap between her earnings and those of her male counterparts. Women with a middle-school education have a mean income 53.5 percent that of comparable men, while the female-to-male wage ratio among college graduates is 76.1 percent. We analyze wage differences separately for women and men. Following Ronald Oaxaca's (1973) work, we decompose male–female wage differentials. We also calculate a discrimination coefficient. Our work shows that, all else equal, men earn from 33.6 percent to 46.9 percent more than women with comparable skills. We attribute the difference to gender discrimination.