Gender wage differentials by education in Italy

In this article we evaluate wage differentials in Italy combining gender and education perspectives. The main goal of this article is to verify whether the extent of the gender pay gap varies between highly- and low-educated workers, and whether or not the role played by gender differences in characteristics and in market rewards is similar in the two groups. We apply quantile regression analysis and an adaptation of the procedure suggested by Machado and Mata (2005) to evaluate the predicted wage gap at different points of the female wage distribution scale. The analysis is carried out on the Italian sample of the last available year of the European Community Household Panel (ECHP). We show that the extent and the trend of the gap predicted across the female distribution is sharply different between groups with diverse educational levels. In the case of low-educated workers, although the predicted gap is largely explained by differences in rewards, lower levels of education or experience are responsible for the gap, especially on the right-hand side of the distribution. On the contrary, highly-educated females have better characteristics than highly-educated men that partially compensate the rather high difference in returns, in particular at the extremes of the distribution.     

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.     

Investment in human capital and gender wage differences: evidence from the NLSY

This paper uses data from the National Longitudinal Survey of Youth (NLSY) to investigate gender differences in returns to various forms of human capital. Since the NLSY includes relatively detailed information regarding on- and off-the-job training, we place special emphasis on measuring gender differences in the incidence of and returns to formal post-school training. Also considered is the role of nonhuman capital factors such as industry and occupation in explaining the wage gap. It is found that about 60% of the gender wage gap in the sample is explained by mean differences in individual characteristics and market circumstances. This suggests a smaller role for discrimination in explaining the wage gap than previous research has found. The research indicates that training does not affect the gender wage gap. Also it is found that there is no statistically significant difference in the rate of return to other measures of human capital for women versus men. Our research suggests that the largest factors contributing to the wage gap are differences in the stocks of human capital for men and women, and differences in the distributions of men and women across industries and occupations.     

Gender Earnings Differential in Urban China

This study uses survey data collected from five large cities in China to describe and decompose the earnings difference between female and male workers. The results indicate that the main source of lower earnings for females lies in unequal pay within sectors, and that the earnings gap due to differences in sectoral attainment is relatively small. The results also reveal that most of the gender earnings differential is attributable to sex discrimination rather than to the gender difference in the endowment of human capital. Therefore, eliminating discrimination against females within individual sectors is effective in narrowing the gender earnings gap.     

工作特征对性别工资差距的作用

补偿性工资是解释性别工资差距的理论之一。本文利用2006年中国综合社会调查(CGSS2006)数据同时考察了人力资本和工作特征的工资效应,并采用Jann(2008)提出的无歧视工资机制的估计方法,对性别工资差距进行了分解分析。研究发现,我国城镇劳动力市场两性的工作特征存在显著的差异,但部分工作特征对工资的作用方向并不符合补偿性工资理论的预期。管理职务上的差异对性别工资差距具有一定的解释作用,但加入大量的工作特征变量后,性别工资差距中总的可解释部分没有明显提高。由此推论,性别歧视可能是形成工资差距的重要因素。促进性别平等和妇女发展必须采取更加积极的公共政策和反歧视措施。     

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.     

Gender earnings inequality in the service and manufacturing industries in the U.S.

This paper compares earnings inequality between women and men in a growing sector of the U.S. economy – the service sector, and a shrinking sector – manufacturing. We examine the hypothesis that deindustrialization will reduce inequality, and find that the absolute magnitude of the gender earnings gap is, in fact, smaller in the service sector. Decomposition analysis is used to partition the gender earnings gap into three parts: (1) earnings differences due to differences in mean characteristics – such as education and experience; (2) earnings differences due to preferential treatment of men; and (3) earnings differences due to disadvantageous treatment of women. The latter two constitute estimates of gender discrimination. The results of this study suggest that, ceteris paribus, deirndustrialization will likely reduce the gender gap in hourly earnings. However, this will come at the cost of lower earnings for both males and females, with the drop in earnings being particularly large for males. While deindustrialization is predicted to reduce the absolute magnitude of male-female earnings inequality, evidence suggests that gender discrimination will persist – discrimination explains about 60 percent of the gender wage gap in both the service and the manufacturing sectors.     

Gender gap,capital accumulation and the demographic transition

This paper focuses on explaining the demographic transition and some of the broad patterns that are associated with it. We present an endogenous growth model that incorporates altruism and son preference within the family as well as gender wage gap and gender wage discrimination in the labour market. We show that with the accumulation of physical capital and human capital, the output share of mental labour increases and the gender wage gap narrows. In the early stages of economic development, gender discrimination is becoming prevalent and the substitution effect of capital accumulation, which raises the cost of child rearing, is dominated by the income effect, so the growth rate of population increases with income. When the degree of gender wage discrimination starts to decline, the increased cost of child rearing induces families to invest more in the human capital of children and the growth rate of the population falls. The quantitative analysis shows that gender wage discrimination is indeed an important contributor to the demographic transition.     

社会性别视野中的人力资本投资

基于人力资本投资性别差异的现实,论述了人力资本投资中社会经济发展水平和社会文化对性别歧视的影响.通过社会关系分析法,揭示了人力资本理论中所存在的社会性别歧视,提出了经济发展水平的提高可以减少人力资本投资的性别歧视,社会文化的进步是消除人力资本投资性别歧视的根本.     

Understanding the Gender Gap in Financial Literacy: Evidence from Australia

Using micro‐data from the Household, Income and Labour Dynamics in Australia Survey, and the Oaxaca–Blinder decomposition technique, this paper examines the determinants of the gender gap in financial literacy. The analysis suggests that human capital variables, such as age and education, are not important in explaining the gender gap in financial literacy. Labour market variables, such as sector, occupation, industry, union membership and labour market status, are important and explain around 16 per cent of the gap. This finding is dependent on the assumption that these variables are exogenous. There is a large unexplained gap, suggesting that the main determinants are neither human capital nor labour market factors.     

The effects of structural change and economic liberalisation on gender wage differentials in South Korea and Taiwan

This paper investigates the sources of divergent trends in genderwage differentials in two important newly industrialised economies(NIEs), South Korean and Taiwan. As these economies have enteredthe 'post-industrial' phase of development, gender wage differentialsin Taiwan's manufacturing sector have widened, while in Koreathey have narrowed. Decomposition analysis is used to broadlyidentify sources of change in gender wage differentials. Multivariateregression analysis is relied on to differentiate the impacton the gender wage gap of (1) macro-levels policies, (2) institutionalfactors, and (3) shifts in labour demand and supply. In additionto the predictable effects of several standard supply-side variables,in Taiwan physical capital mobility is found to have contributedto a wider gender earnings gap. Women's greater concentrationin industries where capital is mobile may explain this result.The effects of capital mobility in Korea appears to differ,which may be due to the dissimilar characters of outward FDIfrom that country.     

Fertility Decisions and Gender Differences in Labor Turnover, Employment, and Wages

A striking observation of the U.S. and other labor markets is the weak position of women in terms of job attachment, employment, and earnings relative to men. We develop a model of fertility and labor market decisions to study the impact of fertility on gender differences in labor turnover, employment, and wages. In our framework, individuals search for jobs and accumulate general (experience) and specific (tenure) human capital when they work. They can also increase their wage by moving to a job of higher quality. Labor market decisions (e.g., job acceptance and job mobility) may differ across genders: females that give birth may decide to interrupt their labor market attachment in order to enjoy the value of staying at home with their children. The model economy is successfully calibrated to match aggregate statistics in terms of fertility, employment, and wages. We find that fertility decisions generate important gender differences in turnover rates, with long lasting effects in employment and wages. These differences in labor turnover account for almost all the U.S. gender wage gap that is attributed to labor market experience by Blau and Kahn (2000, Journal of Labor Economics15(1), 1–42). The model also implies a very small role of tenure capital in accounting for wage differences between males and females (gender gap), and between females with and without children (family gap). Journal of Economic Literature Classification Numbers: E24, J13, J21, J31.     

Personality and the gender wage gap

In this study, we investigate whether personality traits contribute towards a better understanding of the reasons for the gender wage gap. We explore whether two of the personality factors put forward by Bowles et al. (2001) as likely to be incentive enhancing in the employer–employee relationship can explain the difference in wages for women and men. These are (1) personal self efficacy (Locus of Control (LoC)) and (2) time preference. We also study the role of the so called Big Five personality traits (extraversion, emotional stability, agreeableness, openness intellect and conscientiousness), which have been associated with earnings in several recent studies. Using a sample of Dutch employees, we found that 11.5% of the observed gender wage gap could be ascribed to differences in the personality trait scores (mainly in agreeableness and intellect), while less than 0.5% could be ascribed to gender differences in the returns to the traits. The addition of personality traits to a traditional human capital model reduces the unexplained part of the gender wage gap from 75.2% to 62.7%. We therefore conclude that these traits represent a valuable addition to the model.     

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.     

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.     

Having It All? Employment,Earnings, and Children*

We study the effect of family policies on female employment, fertility, and the gender wage gap. We develop a life‐cycle model of heterogeneous households featuring endogenous labor supply, human capital accumulation, fertility, and home production. Our results suggest that human capital accumulation is important in accounting for the widening of the gender wage gap following children. We find that, in aggregate, childcare subsidies promote maternal employment and fertility, although the effects are heterogeneous across couples. A subsidy on home goods increases female employment, but primarily later in life. Thus, it does not dampen the widening of the gender gap.     

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.     

Gender Differences in Labor Market Decisions in Rural Guatemala

This study analyzes male–female differences in workforce participation and self-employment in rural Guatemala. Gender differences in rural labor market outcomes are examined using the 1997 Survey of Rural Entrepreneurs and Financial Services, conducted in the rural areas of the departments of San Marcos, Quezaltenango, Huehuetenango, Alta Verapaz, Petén, and Chimiquimula. There are substantial differences in the labor force participation rates of men and women (86.5 vs 24.0 percent) and in self-employment (49.8 vs 31.9 percent). The empirical results suggest that external constraints explain almost all of the observed gender gap in employment. Gender differences in individual endowments and human capital contribute to increase the male–female self-employment gap; however, structural factors help to reduce gender differences in rural entrepreneurship.     

城镇内部行业收入差距成因的实证研究

运用2012年中国劳动力动态调查微观数据,结合Heckman样本选择方法,估计垄断行业和竞争行业的收入方程,结果发现,垄断对行业收入的影响远大于性别、教育、工作经验等个人特征。运用Shapley值分解方法,考察各因素对我国城镇内部行业工资差距的贡献,结果发现,人力资本因素对行业收入差距的贡献最大。分行业看,人力资本因素能够解释垄断行业收入差距的一半左右,管理岗位对竞争行业收入差距的贡献最大,性别因素对竞争行业收入差距的贡献高出垄断行业两倍,非农户口在解释垄断行业收入差距时的贡献要远大于竞争行业。因此,缩小我国行业收入差距,亟需打破行业垄断壁垒,提高劳动者的受教育水平,减轻劳动者地区间流动障碍。     

性别收入差异及性别歧视的变化

性别歧视带来的性别收入差异一直备受关注。文章基于吉林省1990-2010年间三期妇女地位的调研数据分析了吉林省的性别工资差异问题,并运用Oaxaca-Blinder对性别收入差距进行了分解。文章对20年间吉林省的性别收入差异进行了横向和纵向的分析,实证研究得到如下结论:性别分割是我国劳动力市场上一直存在的一种现象,性别收入差距总体趋势在扩大;个体特征差异能够在一定程度上解释性别收入差异,现阶段性别收入差异在很大程度上是由于劳动者本身的人力资本水平引起的,是正常合理的范围;歧视仍然是造成性别收入差距的一个原因,女性在获得教育的机会上还是比男性要低,而且女性很难进入到高收入行业和职业,使得在教育方面女性仍然处于不利地位。但是经过20年的发展,对女性的歧视逐步减弱。