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.     

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.

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.     

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。     

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     

The gender gap in early-career wage growth

In the UK the gender pay gap on entry to the labour market is approximately zero but ten years after labour market entry, there is a gender wage gap of almost 25 log points. This article explores the reason for this gender gap in early-career wage growth, considering three main hypotheses – human capital, job-shopping and 'psychological' theories. Human capital factors can explain about 11 log points, job-shopping about 1.5 log points and the psychological theories up to 4.5 log points depending on the specification. But a substantial unexplained gap remains: women who have continuous full-time employment, have had no children and express no desire to have them earn about 8 log points less than equivalent men after 10 years in the labour market.     

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.     

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.     

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.     

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.     

Moonlighting: multiple motives and gender differences

This paper examines the incidence and reasons for moonlighting with a focus on gender differences. The study specifies and estimates a bivariate probit model of labour supply and the decision to hold more than one job. It is found that the factors leading men and women to moonlight are similar. A wage decomposition analysis reveals that 93 percent of the differential between male and female moonlighters' wages is not explained by differences in characteristics, and little connection is found between an individual's human capital and their moonlighting wage. Finally, it is found that moonlighters are less likely to report their income.     

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.     

Changes in women's hours of market work: The role of returns to experience

Over the past several decades, married women's hours of market work increased significantly in the US. I argue that changes in behavior by married women with children account for much of this change. In particular, the pattern of married women's work hours has changed substantially over the life cycle. In the past, married women in childbearing age tended to specialize in childrearing and home production activities at the expense of engaging in market work. Now they do not curb the hours they work in the market.What factors contribute to this change in behavior? In this paper, I focus on relative changes in returns to experience as an explanation. I use PSID data for the 1970s and the 1990s to estimate the extent to which relative returns to experience have changed. I then use a life-cycle model with human capital accumulation and home production to quantitatively assess the consequences of this increase for married women's hours of work over the life cycle.The estimates of the human capital production function show that women's marginal returns to experience increased by 25% across decades, whereas men's increased by only 6%. I show that this relative change accounts for 96% of the observed variation in married women's hours of work. Moreover, according to the model, the increase in returns to experience accounts for roughly half of the increase in the female/male wage ratio that is found in the data. I also show that a decline in the gender wage gap, holding returns to experience constant, accounts for only 18% of the total increase in hours of work. As a consequence, it cannot explain the change in the shape of women's life-cycle profiles. Although the focus of the analysis is the labor supply behavior of women, the model also allows predictions about the behavior of men and single women. These predictions are consistent with the data.     

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.     

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.     

Undereducation and Overeducation in the Australian Labour Market*

This paper uses data from the 1996 Census of Population and Housing Household Sample File (HSF) to study the incidence of mismatch between workers' educational attainments and the requirements of their jobs, and the earnings consequences of this mismatch. It also examines whether mismatch contributes to the explanation of the gender wage differential in the Australian labour market. It is found that approximately 15.8 per cent of men and 13.6 per cent of women are overeducated, whereas approximately 18.5 per cent of women and 13.7 per cent of men are undereducated. Substantial earnings consequences are found to be associated with this mismatch, with surplus schooling yielding relatively low returns. The results suggest that mismatch does not account for the gender wage gap in the Australian labour market; rather the gender wage differential is entrenched in the fundamentals of pay determination.     

The Gender Wage Gap in Offered,Observed, and Reservation Wages for Spain

The literature on the gender wage gap and wage discrimination has exclusively analyzed observed wage differences, ignoring inactive or unemployed individuals. In order to obtain a more complete overview of gender wage differences, this paper analyzed inactive or unemployed individuals in terms of offered and reservation wages in Spain in the years 1994, 2000, and 2006. The results show that the observed wages give a more positive perspective of the gender wage gap than offered ones. Furthermore, the existence of an important gender wage gap for reservation wages has been noted, which is possibly because women take charge of household and family caregiving tasks to a greater degree than men. The results show that Spanish women had higher reservation wages and lower offered wages than men, which explains their lower participation in the labor market.     

The Gender Wage Gap in Paid- and Self-Employment in Australia

This paper presents an analysis of the gender wage gap in the highly regulated Australian labour market. It compares wage outcomes in the wage and salary sector with those for the self-employed. Comparisons with the United States are provided. The large gender pay gap in self-employment suggests that the aggregate gender wage differential will not be eliminated solely through wage determination for wage and salary earners. The greater gender wage gap in the self-employed sector may reflect liquidity constraints that are more difficult for self-employed women to overcome relative to self-employed men. The comparisons with the United States suggest that women will experience deterioration in relative earnings as the Australian labour market is deregulated.     

Wealth,Wages, and Wedlock: Explaining the College Gender Gap Reversal

In this paper, I study the role of changes in the wage structure and expectations about marriage in explaining the college gender gap reversal. With strongly diminishing marginal utility of wealth and in the presence of a gender wage gap, single women have a greater incentive than single men to invest in education. Marriage‐market distortions tend to depress the overall benefit of education for women relative to men. I develop a tractable two‐period model and parameterize it using US census data for the cohort born in 1950. I then show that it can generate a reversal and that the most important driving force for this is the decline in marriage rates.