The Persistence of Workplace Gender Segregation in the US

Occupational gender segregation remains one of the defining elements of gender inequality in modern societies. Recent trends for the United States show that occupational segregation remains high and did not substantially decline in the decade of the 2000s for the first time since 1960. Men and women work in different occupations because of a combination of forces, including culturally defined choices by workers themselves, discrimination by employers, and differences in skill levels and qualities. Research has shown that occupational segregation is an important aspect of gender inequality in earnings and contributes to other forms of inequality as well. The prospects for reducing gender segregation in the short term appear slim, based on the weak effects of educational attainment, cultural attitudes, and state intervention in the current period.     

THE EFFECTS OF OCCUPATIONAL GENDER SEGREGATION ACROSS RACE

The general relationship between occupational gender segregation and earnings inequality is well documented, although few studies have examined the relationship separately by race/ethnicity. This article investigates occupational gender segregation effects across whites, African Americans, Hispanics, and Asians. In addition, we explore two ways in which segregation may affect earnings: (1) by lowering the earnings of workers in female-dominated occupations and (2) by lowering the earnings of all workers in highly segregated labor markets. Our central findings are that both segregation effects contribute to earnings inequality and that the effects are observed quite broadly across racial/ethnic groups, although they particularly impact the earnings of African American women.     

Estimating sex discrimination in professional occupations with the dictionary of occupational titles

Although women have gained entrance into some of the top professional occupations, they appear to have achieved few economic gains from this progress. The extensive occupational segregation existing between men and women in all occupations handicaps investigations of the sources of this persistent inequality. This article proposes an exploratory method for identifying occupations containing comparable work and presents an analysis of male‐female wage differences within a subset of the highly skilled professional occupations. Using a cluster analysis of the characteristics of jobs available in the 1977 Dictionary of Occupational Titles, three clusters of high‐skill occupations are identified. Next, a sample of labor‐force participants, aged 25 to 35 years and employed in these occupations, is used in an ordinary least squares (OLS) regression of hourly wages on a standard set of labor market traits. These results are used to decompose the male‐female wage gap. A liberal interpretation of the decomposition estimates is that between 39.9% and 58.8% of the gap is attributed to comparable‐worth discrimination.     

Gender Segregation,Size of Workplace and the Public Sector

Gender segregation is considered to be a key structuring factor in the labour market, and is central to explanations of phenomena as diverse as the everyday experience of men’s and women’s employment to the underachievement of women and the limited impact of equal pay legislation. Studies of occupational segregation by gender tend to be polarized between qualitative and quantitative extremes. At the quantitative end, a primary focus of research has been to quantify segregation to a single index, permitting simple comparisons between countries and over time. However, detailed case studies of particular occupations have often hinted at ways in which breakdowns in occupational segregation have been replaced by other forms of gender segregation. This paper will present data showing that even within occupational categories there is still significant gender segregation and concentration by public/private sector and by size of workplace. For instance, female pharmacists are very over-represented, and female gardeners very under-represented, in the public sector. And the general tendency for women to work in smaller workplaces is severe for some occupations (e.g. office managers) and reversed in other occupations (e.g. production fitters). These analyses question the usefulness of single indices which take account only of segregation or concentration by occupation and therefore underestimate the gendering of job opportunities even within mixed occupations.     

OCCUPATIONAL GROWTH AND THE EXPANSION OF EDUCATIONALLY-RELATED EARNING GAPS

I develop an argument that facilitates understanding of how occupational growth impinges on the relationship between education and earnings. Much of the literature focuses on workers employed at the ends of the occupational hierarchy, whereas my contribution applies to workers positioned all along the occupational hierarchy. I argue that an undersupply of affordable, suitable labor in expanding occupations encourages a division of labor among workers who vary in educational attainment. This division of labor, in turn, leads to greater educationally-related earnings inequality—even among workers who hold similar positions in the occupational hierarchy. Such a development can become pervasive because expanding occupations exist throughout the occupational hierarchy and because educational attainment among workers varies within most occupations. In declining occupations, a different set of conditions pervades, and these conditions facilitate employers' efforts to control their wage-bill by compressing educationally-related earning gaps. A hypothesis is derived from these arguments and tested on a nationally representative sample. The findings are consistent with the hypothesis, suggesting the arguments considered here help explain how the relationship between education and earnings is influenced by whether workers are employed in expanding or in declining occupations. Consequently, this research improves our understanding of how earnings inequality among individuals is linked to structural transformations in the economy.     

Additively Decomposable Segregation Indexes. The Case of Gender Segregation by Occupations and Human Capital Levels in Spain

Building upon the ideas first exposed by Theil and Finizza (1971) and Fuchs (1975), this paper presents an additively decomposable segregation index based on the entropy concept used in information theory. For any pair of classification variables in a given year, the index is decomposed into a between-group and a within-group term. To analyze intertemporal changes in gender segregation for a given partition, the index is decomposed into two terms that capture, respectively, gender composition effects, and changes in the groups' demographic importance. These decompositions are illustrated with Spanish data on occupations and human capital levels for 1977 and 1992. It is found that, in both years, the higher the educational level, the smaller is gender segregation for most age groups. Moreover, gender segregation decreases with age in all educational categories. However, most gender segregation takes place within, rather than between, age/education categories. Lastly, changes in gender composition across occupations, nearly offset by occupational mix changes, account for a decline of 2% in total gender segregation over this period.     

Understanding the self-organization of occupational sex segregation with mobility networks

Decades after the beginning of the gender revolution, most women and men still work in sex-typed occupations. This is a primary driver of the gender wage gap. Most research describing the patterns of occupational sex segregation focuses on supposedly innate job characteristics that match gender stereotypical abilities and preferences, such as the use of mathematical skills or social skills, on income and status differences between occupations, and on organizational job characteristics, for example, the need to work long hours. However, beyond such occupational attributes, sex segregation is hypothesized to exhibit emergent patterns that are linked to the interdependent job mobility of women and men, in particular, men selectively leaving feminizing occupations. Developing new tools inspired by statistical network research, and using representative, longitudinal data that contain detailed occupational mobility from the UK between 2000 and 2008, this replacement mechanism is analyzed. It is shown that 19–28% of observed sex segregation is linked to this emergent phenomenon in a statistical model that disentangles the various predictors of the allocation of women and men to different occupations. This makes it the most important predictor of segregation in contrast to concurrently modelled explanations based on occupational characteristics.Data and materials availabilityThe BHPS data and the LFS data are available from the UK Data Service (https://www.ukdataservice.ac.uk/). The O*NET data is available from the O*NET homepage (https://www.onetcenter.org/). Software implemented in the environment R and code for data analysis are available upon request from the authors.     

Explaining gender segregation

Occupational gender segregation--the tendency for women and men to work in different occupations--is an important feature of all societies, and particularly the wealthy industrialized ones. To understand this segregation, and to explain its significance, we need to distinguish between vertical segregation entailing inequality and horizontal segregation representing difference without inequality, with overall segregation being the resultant of these components. Three major theoretical approaches to understanding occupational gender segregation are examined: human capital/rational choice, patriarchy, and preference theories. All are found to be inadequate; they tend to confuse overall segregation with its vertical component, and each entails a number of other faults. It is generally assumed or implied that greater empowerment of women would reduce gender segregation. This is the reverse of what actually happens; in countries where the degree of women's empowerment is greater, the level of gender segregation is also greater. An alternative theoretical approach based on processes of social reproduction is shown to be more useful.     

Functional Vocational Cognition: Dimensions of Real-World Accuracy

Which dimensions (time, opportunity, money, physical, mental, prestige) are most accurately judged across various occupations? Which occupations (e.g., secretary, nurse, truck driver) are most accurately judged across the various dimensions? Students in a rehabilitation program (n = 60) were reasonably accurate on all dimensions except opportunity. They had more accurate information on some occupations (e.g., nurse) than on others (e.g., mechanic). Functional cognition is discussed in terms of prior interest or real-world contact with these vocational dimensions and occupations.     

Income inequality and income segregation

This article investigates how the growth in income inequality from 1970 to 2000 affected patterns of income segregation along three dimensions: the spatial segregation of poverty and affluence, race-specific patterns of income segregation, and the geographic scale of income segregation. The evidence reveals a robust relationship between income inequality and income segregation, an effect that is larger for black families than for white families. In addition, income inequality affects income segregation primarily through its effect on the large-scale spatial segregation of affluence rather than by affecting the spatial segregation of poverty or by altering small-scale patterns of income segregation.     

The economic marginality of ethnic minorities: an analysis of ethnic income inequality in Singapore

This paper examines ethnic income inequality in Singapore from the perspectives of labour‐market segmentation and human capital. The findings of this study show that neither perspective is useful in explaining ethnic income inequality in Singapore. Further, the analysis shows that educational differences among the Chinese, Indians and Malays account for very little of the income gap. Much of the income difference is due to discrimination. The source of this discrimination lies in the segregation of ethnic minorities in lower‐paying jobs and occupations across all industries, reflecting Chinese domination in the economic and political spheres.     

Inequality of opportunity in adult health in Colombia

This paper measures inequality of opportunity in adult health in Colombia using the 2010 Living Standards and Social Mobility Survey, a rich dataset that provides unique information about individual childhood circumstances in that country. Dissimilarity and Gini-opportunity indexes are calculated to provide different measures of inequality of opportunity using a self-reported variable for health status. The Shapley-value decomposition is then used to estimate the contribution of early-life circumstances such as parental background, region of origin and ethnicity to inequality of opportunity. The findings suggest that 8 % to 10 % of the circumstance-driven opportunities distinctively enjoyed by those who are healthier should be redistributed or otherwise compensated in order to achieve equality of opportunity. Differences in household socio-economic status during childhood and parental educational attainment appear to be the most salient dimensions of inequality of opportunity in adult health.     

MEASURING AND ANALYZING CLASS INEQUALITY WITH THE GINI INDEX INFORMED BY MODEL-BASED CLUSTERING

The most widely used measure for studying social, economic, and health inequality is the Gini index/ratio. Whereas other measures of inequality possess certain useful characteristics, such as the straightforward decomposability of the generalized entropy measures, the Gini index has remained the most popular, at least in part due to its ease of interpretation. However, the Gini index has a limitation in measuring inequality. It is less sensitive to how the population is stratified than how individual values differ. The twin purposes of this paper are to explain the limitation and to propose a model-based method—latent class/clustering analysis for understanding and measuring inequality. The latent cluster approach has the major advantage of being able to identify potential "classes" of individuals who share similar levels of income or one or more other attributes and to assess the fit of the model-based classes to the empirical data, based on different cluster distributional assumptions and the number of latent classes. This paper distinguishes class inequality from individual inequality, the type that is better captured by the Gini. Once the classes are estimated, the membership of estimated classes obtained from the best fitting model facilitates the decomposition of the Gini index into individual and class inequality. Class inequality is then measured by two relative stratification indices based on either the relative size of the Gini between-class components or the relative number of stratified individuals. Therefore, the Gini index is extended and assisted by model-based clustering to measure class inequality, thereby realizing its great potential for studying inequality. Income data from France and Hungary are used to illustrate the application of the method.     

Characterizations of Lorenz curves and income distributions

The purpose of this paper is to propose and justify the use of a few measures of inequality for summarizing the basic information provided by the Lorenz curve. By exploiting the fact that the Lorenz curve can be considered analogous to a cumulative distribution function it is demonstrated that the moments of the Lorenz curve generate a convenient family of inequality measures, called the Lorenz family of inequality measures. In particular, the first few moments, which often capture the essential features of a distribution function, are proposed as the primary quantities for summarizing the information content of the Lorenz curve. Employed together these measures, which include the Gini coefficient, also provide essential information on the shape of the income distribution. Relying on the principle of diminishing transfers it is shown that the Lorenz measures, as opposed to the Atkinson measures, have transfer-sensitivity properties that depend on the shape of the income distribution. Received: 20 July 1998/Accepted: 10 September 1999     

The Ecological-Evolutionary Typology of Human Societies and the Evolution of Social Inequality

Gerhard Lenski's ecological-evolutionary typology of human societies, based on the level of technology of a society and the nature of its physical environment, is a powerful predictor of various dimensions of social inequality. Analysis of comparative data shows that while some dimensions of the stratification system (such as measures of social complexity) exhibit a monotonic trend of increasing inequality with level of technology from the hunting-and-gathering to the agrarian type, others (such as measures of freedom and sexual inequality among males) exhibit a pattern of "agrarian reversal" in which inequality increases from the hunting‐and‐gathering to the advanced horticultural type but then declines with the agrarian type. Theoretical and empirical implications of the agrarian reversal pattern for the study of social inequality are discussed.     

Job displacement effects of Canadian immigrants by country of origin and occupation

"Some previous Canadian studies have shown that considering the labor market as a whole and also pooling all immigrants as a group, immigrants do not have any job displacement effects on the Canadian born. This study presents some new evidence. It disaggregates immigrants by country of origin and by occupation groups and provides an analysis of job displacement effects of immigrants on the native-born Canadians by these dimensions. The study finds that (1) U.S. immigrants and the Canadians are substitutes [for] competing groups in the labor market and the effect is quite significant; (2) Canadians and Europeans are competing groups in certain occupations, while they have complementary skills in others; and (3) immigrants from the Third World and the Canadians are slightly competing groups in certain occupations."     

Race and inequality at work: An occupational perspective

Recent research on racial inequality at work offers fruitful insights on the organizational conditions that reproduce racial segregation, racial disparities in wages, and racial hierarchies in the labor market and the workplace. Much less is known, however, about the specifically occupational influences that impinge on equitable work outcomes by race. In this paper, we explore three processes at the occupational level that relate to racial segregation, racialized access to resources, and status in one's line of work. We review research on racial inequality at work over the last 20 years to elucidate what is known, and remains to be seen, about these occupational processes. First, we review how occupational members get selected, and attempt to self-select, into occupations via recruitment, licensing, credentialing, or certifications. Second, we consider how occupational incumbents teach, govern and evaluate new entrants, and with what consequences for racial inclusion/exclusion and retention in careers. Third, we examine research on client- or service-based work, and highlight how workers navigate not only their roles, but also racial dynamics, vis-a-vis clients. We conclude with suggestions for how future research can harness occupational analysis to advance understanding of racial inequality at work.     

The impact of taxes and transfer payments on the distribution of income: A parametric comparison

The Luxembourg Income Study data is used to explore the impact of taxes and transfer payments on the distribution of income across 13 countries for different years. The five-parameter generalized beta distribution and 10 of its special cases are considered as models for the size distribution of income. Maximum likelihood methods are used to estimate the model with corresponding measures of goodness of fit and inequality reported. These results identify the best-fitting two-, three-, and four-parameter models as well as describe the inter-temporal patterns of inequality corresponding to earnings, total income, and disposable income. A general pattern of increasing inequality is observed for almost all countries considered along with significantly different distributional impacts of taxes and transfer payments across countries.