Differences in Wage Distributions Between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates

We construct a tractable, flexible-functional-form estimator of cumulative distribution functions for non-negative random variables which admits large numbers of covariates. The estimator adopts and extends techniques from the spell-duration literature for estimating hazard functions to distribution functions for wages, earnings, and income. We apply these methods to investigate sources of wage inequality for full-time male workers between Canada and the United States, finding that the Canadian wage density has a thinner left tail because low-educated workers have higher pay and a thinner right tail because of a lower proportion of highly-educated workers. Unions appear to play a large role in these outcomes.     

Gender differences in productivity rewards: the role of human capital

In this paper, we evaluate the gender wage gap component due to differences in characteristics’ rewards in Italy. The main focus is on the relationship between human capital characteristics and gender differences in rewards. We propose a methodology that combines the quantile regression analysis with non-parametric procedures for the estimation of the probability density functions of reward differentials in order to evaluate the evolution of the gap due to human capital characteristics. The analysis is carried out on Italian data taken from the latest available cross-section of the European Community Household Panel (2001). Our study suggests that education can be a good productivity signal and helps reduce the range of the gap; furthermore, highly educated women experience lesser gender-based pay differences as the length of the employment relationship increases.     

The trend over time of the gender wage gap in Italy

We analyse gender wage gaps in Italy in the mid-1990s and in the mid-2000s. In this period, important labour market developments took place and they could have had a gender asymmetric impact on wages. We identify the time trends of different components of the gender wage gap across all the wage distribution. Although the unconditional gender wage gap remained roughly constant over time, we find that the component of the gap due to different rewards of similar characteristics deteriorated women’s relative wage. We show that especially women at the centre-top of the wage distribution swam against the tide: while the trend in female qualifications slightly reduced the gender wage gap, the gender-relative trends in the wage structure significantly increased it.     

Wage differentials by sector and gender: a quantile analysis for the Spanish case

This paper analyses existing wage differentials between workers in the public and private sectors and by gender in Spain. This analysis is run throughout the entire earnings distribution and observed wage differentials are decomposed into a part explained by differences in productive characteristics and a part due to differences in returns to such characteristics. Our results show that public sector workers tend to earn higher wages than private employees, although most of this sector wage gap is due to better public workers’ productive characteristics. A wage premium in favour of men is also found in both the public and private sectors, with the gender wage gap greater at the top of the earnings distribution.     

市场歧视对城镇地区性别工资差距的影响

本文使用基于分位数回归的反事实分析方法研究了中国城镇地区的性别工资差距问题,发现了以下三个结论:第一,性别工资差距在工资分布不同位置上存在不对称现象。从横截面数据来看,在工资分布顶端性别工资差距较小,在工资分布末端性别工资差距较大。从时序数据来看,在工资分布顶端性别工资差距越来越小,在工资分布末端性别工资差距越来越大。第二,性别工资差距在横截面数据上表现出不对称现象的原因是,女性在工资分布顶端受到的歧视程度低,在末端受到的歧视程度高。第三,性别工资差距在工资分布末端越来越大的原因是,女性受到的歧视程度越来越高;在工资分布顶端越来越小的原因是,男性和女性个人特征方面(如受教育水平)的差别越来越小。     

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.     

Wages in a growing Russia

The robust Russian economic recovery after the 1998 financial crisis raised the economic standing of the population, especially for lowly paid workers, most of whom are women. In this paper I use the Russian Longitudinal Monitoring Survey from 1996 through 2002 to ask whether this helped to reduce the gender wage gap. I first focus on those whose wages are paid in full. Next, I ask about the gender composition of wage arrears as the overall extent of wage arrears dropped from 60 to 20 per cent after the 1998 crisis. I show that a temporary widening of the overall gender wage gap in 2000 is due to low‐wage women becoming more likely to receive their wages in full than low‐wage men. Except for this effect, the male–female pay difference in Russia exhibits a stable pattern.     

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.     

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 aftermath of reunification

This article traces the evolution of the East German wage structure throughout the transition period 1992–2001. Wage dispersion has generally been rising. This increase occurred predominantly in the lower part of the wage distribution for women and in the upper part for men. Moreover, the sectoral transition affected female workers to a much larger extent than their male counterparts. A sequential decomposition analysis using quantile regressions reveals that changes in industry‐specific remuneration schemes contributed strongly to the rise in wage inequality in the lower part of the distribution for women, whereas changes in the industry composition alone would have led to a polarization of wages. In contrast, for men, changes in individual characteristics are the single most important factor contributing to the increasing wage dispersion. These gender differences are attributed to employment segregation across industries present right after German reunification.     

Does union membership reduce gender earnings differentials? Evidence from employer–employee matched data in China

This paper examines whether union membership reduces gender earnings differentials in the Chinese labour market using an employer–employee matched data set. We have three main findings. First, union membership helps reduce the gender differentials in hourly wage and monthly allowance, but not in monthly basic wage and yearly bonus. Second, ensuring that female workers receive overtime pay is one way by which union membership helps reduce the gender earnings differentials. Third, controlling for firm fixed effects reduces the effect of union membership on the gender gap in hourly wage and monthly allowance, which means that the unobserved firm characteristics might impact the effect of union membership on gender earnings differentials.     

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.     

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.     

Economic transition and gender differentials in wages and productivity: Evidence from Chinese manufacturing enterprises

We use firm-level data to analyze male–female wage differences in Chinese industry in the late 1990s. Our estimates indicate that employers' discrimination against women was not a significant source of the gender wage gap in Chinese state-owned enterprises. Instead, we find that the relative wage of unskilled female to male workers was higher than their relative productivity. This result indicates that unskilled female workers in the state sector had historically received wage premiums and consequently accounted for a disproportionate share of the sector's labor surplus.     

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.     

Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap

Using the Household, Income and Labour Dynamics in Australia survey, this paper analyses the gender wage gaps across the wage distribution in both the public and private sectors in Australia. Quantile regression techniques are used to control for various characteristics at different points of the wage distributions. Counterfactual decomposition analysis, adjusted for the quantile regression framework, is used to examine if the gap is attributed to gender differences in characteristics, or to the differing returns between genders. The main finding is that a strong glass ceiling effect is detected only in the private sector. A second finding is that the acceleration in the gender gap across the distribution does not vanish even after account is taken of an extensive set of statistical controls. This suggests that the observed wage gap is a result of differences in returns to genders. By focusing only on the mean gender wage gap, substantial variations of the gap will be hidden.     

WAGES AND EMPLOYMENT IN THE U.S. APPAREL INDUSTRY

This article uses individual-level data from the U.S. Census, Public Use Microdata Sample (PUMS), to examine wages and employment in the U.S. apparel industry. Total employment in this sector has been falling since 1970, and its overall average wage is the lowest of 25 industry aggregates. But disaggregation by gender, education, and nativity reveals that groups of highly educated male native workers earn higher average wages in apparel than in other industries. Moreover, after adjusting for observed individual differences in human capital (in addition to the three characteristics used to form worker subsets), highly educated male natives earn positive wage premiums in this sector. In contrast, most categories of immigrants and female natives earn relatively low average wages and experience negative wage premiums in apparel. This variation in the adjusted industry wage premiums across worker groups may be related to apparel's relative exposure to imports and immigrant workers.     

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.     

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.