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.     

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.     

Education decisions and labour market outcomes

The financial return to a college degree is an increasing concern amid rising tuition costs and stagnant wages. Using the Education Longitudinal Study of 2002 (ELS:2002), I analyse the effect of post-secondary choices on wages for individuals entering the labour force between 2004 and 2012. Matching methods provide evidence of strong returns to earning a bachelor’s degree for both genders, similar to previous literature. Relative to high school graduates, women see wage benefits of 8–21% for some college attendance. However, men see negative effects of between 6%–13% from some college relative to high school graduates. The returns to a sub-baccalaureate degree as compared to earning some two-year credits is between 8%–25% for women and 8–14% for men. Further, the wage returns to a sub-baccalaureate degree as compared to earning some four-year credits is between 9%–17% for women and 9–20% for men. This translates into an additional $2,500-$4,700 per year for women and an additional $2,900-$6,400 per year for men. Since the average respondent with some four-year college experience has 2.3 years of earned post-secondary credits, shifting some into sub-baccalaureate programs may substantially decrease both the financial and time commitments of post-secondary education while increasing the returns after degree attainment.     

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.     

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.     

Women Managers and The Gender-Based Gap in Access to Education: Evidence from Firm-Level Data in Developing Countries

A number of studies explore the differences in men's and women's labor market participation rates and wages. Some of these differences have been linked to gender disparities in education access and attainment. The present paper contributes to this literature by analyzing the relationship between the proclivity of a firm having a top woman manager and access to education among women relative to men in the country. The study combines the literature on women's careers in management, which has mostly focused on developed countries, with the development literature that has emphasized the importance of access to education. Using firm-level data for seventy-three developing countries in 2007–10, the study finds strong evidence that countries with a higher proportion of top women managers also have higher enrollment rates for women relative to men in primary, secondary, and tertiary education.     

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.     

Educational attainment and cohort size

"We argue that the postwar baby boom [in the United States] caused substantial fluctuations in both the economic rewards to education and educational attainment over the last 3 decades. If substitutability between young and old workers diminishes with education, the present value of lifetime earnings for a boom cohort is depressed more for highly educated workers, reducing incentives for educational attainment. The opposite is true for pre- and postboom cohorts. The diminishing substitutability hypothesis explains the declines in both the returns to college and college completion rates in the 1970s and predicts a substantial increase in educational attainment for postboomers."     

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.     

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 difference in wages and the returns to schooling over the great recession in the U.S.

This paper examines the effects of the Great Recession on the gender difference in hourly wage and the rate of return to schooling in the United States. Using data from American Community Survey 2000–2015, we find that the male-female difference in hourly wage declined during and after the recession. The Great Recession decreased earnings for both men and women, especially for those with more education. We also find there is a significant gender difference in the effects of the Great Recession on the returns to schooling. The Great Recession increased the rate of return to schooling for both men and women, and the female-male difference in the returns to schooling decreased by 0.4 percentage points in the post-recession period. The change of the gender difference in the returns to schooling can be explained by the wage structure change for men and women over the recession.     

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.

The educational attainment of immigrants: trends and implications

"This paper uses the 1970, 1980, and 1990 U.S. Censuses to study trends in educational attainment of immigrants relative to natives. Immigrants have become relatively less highly educated, but have become more highly educated in an absolute sense. The effects of changes in relative educational attainment between immigrants and natives on earnings are studied. Educational differences are found to explain more than half the observed wage gap between the two groups. The paper also allows for non-linearities in returns to education. Sheepskin effects influence earnings in different ways for natives and immigrants. Differences in returns to pre- and post-migration education also appear. The paper also finds evidence that immigrants crowd natives out of education, although the effects are stronger in secondary than in postsecondary education."     

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.     

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.     

Post‐secondary education in Canada: can ability bias explain the earnings gap between college and university graduates?

Abstract .  Using the Canadian General Social Survey we compute returns to post-secondary education relative to high school. Unlike previous research using Canadian data, our data set allows us to control for ability selection into higher education. We find strong evidence of positive ability selection into all levels of post-secondary education for men and weaker positive selection for women. Since the ability selection is stronger for higher levels of education, particularly for university, the difference in returns between university and college or trades education decreases slightly after accounting for ability bias. However, a puzzling large gap persists, with university-educated men still earning over 20% more than men with college or trades education.     

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.     

FAMILY PLANNING AND WOMEN'S EDUCATIONAL ATTAINMENT: EVIDENCE FROM THE ONE‐CHILD POLICY

This paper exploits China's one‐child policy (OCP) to study the relationship between fertility and educational attainment of the mothers of China's “sibling‐less generation.” I take two difference‐in‐differences approaches to estimate the OCP's effect on women's education: one compares gender difference among the ethnic majority group and the other compares ethnicity differences between ethnic majority women and ethnic minority women. I also explore the heterogeneity of the policy's effects by parent's status at the Communist Party. I find that the OCP has a positive and significant effect on women's education and explains about half of the increase in educational attainment for women born between 1960 and 1980. Their increased educational attainment associates with delayed entry into first marriage, delayed entry to parenthood and increased labor supply. (JEL I20, J13, J16, J18)     

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.