Occupational segregation

Short description: Distribution of workers across and within occupations

Occupational segregation is the distribution of workers across and within occupations, based upon demographic characteristics, most often gender.[1] More types of occupational segregation include racial and ethnicity segregation, and sexual orientation segregation. These demographic characteristics often intersect.[2] While a job refers to an actual position in a firm or industry, an occupation represents a group of similar jobs that require similar skill requirements and duties. Many occupations are segregated within themselves because of the differing jobs, but this is difficult to detect in terms of occupational data.[3] Occupational segregation compares different groups and their occupations within the context of the entire labor force.[4] The value or prestige of the jobs are typically not factored into the measurements.[5]

Occupational segregation levels differ on a basis of perfect segregation and integration. Perfect segregation occurs where any given occupation employs only one group. Perfect integration, on the other hand, occurs where each group holds the same proportion of positions in an occupation as it holds in the labor force.[6]

Many scholars, such as Biblarz et al., argue that occupational segregation often occurs in patterns, either horizontally (across occupations) or vertically (within the hierarchy of occupations) and is most likely caused by gender-based discrimination.[7] However, in the past, occupational segregation with regard to race has not been well researched, with many studies choosing to compare two groups instead of multiple. Due to the fact that different genders of different racial/ethnic backgrounds experience different obstacles, measuring occupational segregation is more nuanced.[2] Ultimately, occupational segregation results in wage gaps and the loss of opportunities for capable candidates who are overlooked because of their gender and race.[8][9]

## Contents

* 1 Types
* 1.1 Gender
* 1.1.1 Horizontal
* 1.1.2 Vertical
* 1.1.3 Occupational segregation by industry
* 1.2 Race
* 1.3 Intersectionality
* 2 In the United States
* 2.1 Gender trends
* 2.2 Racial trends
* 3 Causes
* 3.1 Individual preferences
* 3.2 Educational disparities
* 3.3 Work disparities
* 3.4 Job search strategies
* 4 Effects
* 4.1 Wage gap
* 4.2 Lost opportunities
* 5 Measurement
* 6 Solutions
* 6.1 Equal Employment Opportunity Commission
* 6.2 Diversity programs
* 6.3 Changes in culture
* 7 See also
* 8 References
* 8.1 Bibliography

## Types

### Gender

See also: Biology:Sexual division of labour

The gendered division of labor helps to explain the hierarchy of power across gender identity, class, race, ethnicity, and sexual orientation.[10] Socialist feminists contribute to this ideology through a Marxist frame of alienated labor and the means of production. Heidi Hartmann emphasized the gendered division of labor as patriarchal control over women's labor. Wally Saccombe suggested the mode of production should become a unity of production and reproduction, in which women's reproductive abilities are viewed as a valuable source of labor or income.[11] The "wages for housework" movement in the late 1970s showcased the importance of gender inequality in the workplace. Socialist feminists critiqued the exploitation of women's household and reproductive labor, since it was not viewed as a commodity that deserved payment in the market economy.[12] Women often experience working a "double day" or "second shift" when they go to a wage-earning job and then come home to take care of children and the home.[13]

Researchers, policymakers, and the general public in North America tend to show more concern about the under-representation of women in STEM fields than the under-representation of men in care-oriented occupations such as healthcare, elementary education, and domestic careers (HEED).[14]

#### Horizontal

Horizontal segregation refers to differences in the number of people of each gender presents across occupations.[15] Horizontal segregation is likely to be increased by post-industrial restructuring of the economy (post-industrial society), in which the expansion of service industries has called for many women to enter the workforce. The millions of housewives who entered the economy during post-industrial restructuring primarily entered into service-sector jobs where they could work part-time and have flexible hours. While these options are often appealing to mothers, who are often responsible for the care work of their children and their homes,[15] they are also unfortunately most available in lower-paying and lower-status occupations. The idea that nurses and teachers are often pictured as women whereas doctors and lawyers are often assumed to be men are examples of how highly ingrained horizontal segregation is in our society.

#### Vertical

The term vertical segregation describes men's domination of the highest status jobs in both traditionally male and traditionally female occupations.[15] Colloquially, the existence of vertical segregation is referred to as allowing men to ride in a "glass escalator" through which women must watch as men surpass them on the way to the top positions.[16] Generally, the less occupational segregation present in a country, the less vertical segregation there is because women have a better chance of obtaining the highest positions in a given occupation as their share of employment in that particular occupation increases.[17]

Vertical segregation can be somewhat difficult to measure across occupations because it refers to hierarchies within individual occupations. For example, the category of Education Professionals (a category in the Australian Standard Classification of Occupations, Second Edition) is broken down into "School Teachers," "University and Vocational Education Teachers," and "Miscellaneous Education Professionals." These categories are then further broken down into subcategories. While these categories aptly describe the divisions within education, they are not comparable to the hierarchical categories within other occupations, and thus make comparisons of levels of vertical segregation quite difficult.[17]

#### Occupational segregation by industry

Historically, women have been underrepresented in roles of science, technology, engineering, and mathematics (STEM) worldwide.[18] The countries with the three highest percentages of female graduates in STEM in recent years are Sint Maarten (Dutch part) (100% in 2017), Samoa (67% in 2021) and Myanmar (61% in 2018) and the countries with the lowest percentages are Afghanistan (13% in 2020), Andorra (12% in 2024), and Bermuda (8% in 2023).[19]

### Race

Different minorities have different factors influencing their segregation. In the United States, Alonso-Villar et al. concluded that Asians are the most segregated group based on data of the overall distribution of employment, while Hispanics are the most segregated in local markets. Asians tend to be concentrated in both low pay jobs, such as sewing machine operators or tailors, and high pay jobs like medical or computer engineering jobs. This range may be due to the fact that within the "Asian" category, data for different ethnicities differ, such as between Southeast Asians and East Asians. When the factors of human capital characteristics and geographic variables are removed, African and Native Americans are the most segregated.[20] While Asians and Hispanics tend to be segregated due to their individual skills and characteristics, black people and Native Americans tend to be unconditionally segregated against.[5]

Almost 90% of jobs in the United States either overrepresent or underrepresent black males, which demonstrates segregation. Overrepresentation occurs in lower paid jobs, while underrepresentation occurred in higher paid jobs. Jobs with overrepresentation of black and Latino males tend to decrease pay over time.[4]

### Intersectionality

The intersectionality of race/ethnicity and gender in occupational segregation means that the two factors build on one another in a complex way to create their own unique sets of issues. Between genders, there are preconceived notions; when gender is further split up by race and ethnicity, stereotypes differ even more.[21] Women are treated to more segregation than men; however, the comparison of different sexes shows that a higher racial/ethnic disparity exists within men in comparison to their female counterparts. Within the workplace, the distribution of Hispanic, Asian, African American, and Native American women is very similar. Nonetheless, within low paid jobs, Hispanic women represent the largest demographic.[20]

## In the United States

### Gender trends

Over the last century in the United States, there has been a surprising stability of segregation-index scores, which measure the level of occupational segregation of the labor market.[15] There were declines in occupational segregation in the 1970s and 1980s, as technologies that made the care work of the home quicker and easier allowed more women time to enter the workforce.[22]

### Racial trends

Data for sex segregation after the 1990s is extensive but data for racial segregation is less comprehensive. Additionally, although it is easy to see national trends, it does not always reflect the trends within different sectors. Certain regions of the United States are more prone to occupational segregation. Due to the history of slavery, Jim Crow, and the slow transition into an industrial economy, the South's workforce has been more racially segregated than the rest of the United States.[23]

The Great Migration (1910 - 1970) represented a shift in the African American population from the South to the North, and from agricultural to industrial jobs.[24] The Great Depression (1929 - 1933) caused many African Americans to be fired first compared to others in their companies, which caused them to turn towards self employment, with jobs such as housework or opening up their own businesses as dressmakers or shop owners.[24] In the 1940s, the types of jobs available began to shift from industrial to service, while the agricultural portion switched to machines that did not require many workers. This shift both created new jobs and pushed other jobs out.[25] Racial segregation began to decline after the creation of Title VII of the Civil Rights Act of 1964.[23]

Data has shown that black women at all education levels are placed into jobs with lower wages when their white female peers of similar skill and education levels are given higher paid jobs due solely to their racial advantage. Occupational segregation has not only affected what jobs African American women are given but their salary as well. Data from Equitable Growth states the wage gap between black women and white men is "often interpreted by economists as the closest approximation of real discrimination". Of the observed variables, however, racial and gender differences in industry and occupation—collectively referred to as workplace segregation—explain by far the largest portion of the gap (28 percent, or 10 cents for every dollar earned by a white man)". One of the main reasons occupational segregation is an issue for black women in the first place is the racial and ethnic discrepancy in access to high-quality educational and financial resources, which hurts children's educational outcomes, and college access results in long-term labor market opportunities instead of higher-paying jobs.[26]

## Causes

### Individual preferences

According to Eli Ginzberg, self-selection starts at a young age, and has many different stages. As children begin thinking about jobs, they are open to all possibilities and are not limited by their gender, race, or social class. At the end of young adulthood, the final occupation choice depends on the person's degree of education, the value they place on different occupations, their emotions in response to the world around them, and the environmental restrictions they have. Adults choose jobs that have a work environment that is familiar to them and that they believe has value.[24] Although individuals have different preferences for the jobs they want, society and job inequality can influence these choices.[8]

Some women self-select out of higher status positions, choosing instead to have more time to spend at home and with their families. According to Sarah Damaske, this choice is often made because high status positions do not allow time for the heavy domestic workload that many women expect to take on due to the gendered division of labor in the home.[15] Working-class women in particular also sometimes self-select out of more time-intensive or higher-status positions to maintain the traditional gender hierarchy and household accord.[27]

Human capital explanations posit additionally that men are more likely than women to preference their work life over their family life. However, the General Social Survey found that men were only slightly less likely than women to value short hours, and that preferences for particular job characteristics depended mostly on age, education, race, and other characteristics rather than on gender.[28] In addition, other research has shown that men and women likely hold endogenous job preferences, meaning that their preferences are due to the jobs they hold and those they have held in the past rather than related inherently to gender. After taking into consideration men and women's jobs, there is no difference in their job preferences. Men and women engaged in similar types of work have similar levels of commitment to work and display other similar preferences.[28]

### Educational disparities

Minorities are subjected to a language barrier. For some immigrants, despite having high levels of experience in the country they come from, they are unable to obtain an equally ranked job due to unfamiliarity with the language. Many immigrants who come to the United States are Asians or Hispanics who cannot speak English.[20] Immigrants may experience over or under education. Those who do not have high proficiency in English are limited to low paying jobs that also have low expectations for skills not pertaining to language. Since minority workers tend to be younger (the median ages of Hispanic, Native American, black, and Asian workers being 35, 38, 39 and 39 respectively, compared to the median age of white people, which is 42), they have less experience, which makes them less competitive candidates.[5]

Low education accounts for a large percentage of why Native Americans and black people are more segregated in the workplace.[5] However, although racial and ethnicity differences in education levels is said to be the primary explanation for the wage gap, when comparing the wages between races/ethnicities with the same educational level, there are still differences, suggesting that this is not the only reason why a wage gap exists. Black men who graduate from high school or drop out have an unemployment rate double the unemployment rate of their white peers. People who belong to a racial/ethnic minority will have a disadvantage in getting a job, regardless of their educational background.[4]

Human capital explanations are those that argue that an individual's and a group's occupational and economic success can be at least partially attributed to accumulated abilities developed through formal and informal education and experiences.[29] Human capital explanations for occupational segregation, then, posit that a difference in educational levels of men and women is responsible for persistent occupational segregation. Because of their alleged fewer educational merits, their lower salary is justified.[30] Contrary to this theory, however, over past 40 years, women's educational attainment has outpaced that of men. One area of education that might play a substantial role in occupational segregation, however, is the dearth of women in science and mathematics.[28] STEM fields tend to be pipelines to higher paying jobs. Therefore, the lack of women in higher paying jobs might be partially because they do not pursue science and mathematics in school. This can be seen in areas such as finance, which is very mathematics heavy and is also a very popular field for those who eventually rise to high status positions in the private sector. This choice, like others, is often a personal preference or made because of the cultural idea that women are not as good as men at mathematics.[28]

### Work disparities

Employers can influence the pay disparity for women and minorities in three ways. They may do this through sorting women and racial minorities into lower paying jobs while their counterparts receive higher paying jobs, selectively not choosing women and racial minorities for promotions, and cater their recruiting and advertising to people who are not women or racial minorities. At the same time, employers systematically undervalue the work of women and racial/ethnic minorities in a concept known as valuative discrimination. For many jobs, in between the point of contact and the completion of the application, one of the roles of human resources is to direct applicants to certain jobs. Human resource steering can occur when this role is used to turn women and racial minorities to jobs with lower salaries.[8]

Human capital explanations posit that men tend to rise to higher positions than women because of a disparity in work experience between the genders. The gap between men and women's tenure rises with age, and female college graduates are more likely than males to interrupt their careers to raise children.[28] Such choices may also be attributed to the gendered division of labor which holds women primarily responsible for domestic duties.

### Job search strategies

According to sociologists Hanson and Pratt, men and women employ different strategies in their job searches that play a role in occupational segregation. These differing strategies are influenced by power relations in the household, the gendered nature of social life, and women's domestic responsibilities. The last factor, in particular, leads women to prioritize the geographical proximity of paid employment when searching for a job. In addition, most people have been found to find their jobs through informal contacts. The gendered nature of social life leads women to have networks with smaller geographical reach than men. Thus, the location of women in female-dominated occupations which are lower-status and lower pay is the result of "severe day-to-day time constraints" rather than a conscious and long-term choice made that would be able to maximize pay and prestige.[31]

Residential communities consisting of a single racial minority in metropolitan areas tend to form job networks due to isolation from other races. Job networks are often used as a better way to find good employment opportunities, but it can be detrimental if it does not result in higher wages. Networks can lead to unequal access to job opportunities and for minorities, result in reduced competition for higher paid job markets and increased competition in lower ones. This results in a decrease in wage price for the labor markets. Black and Latino men who use networks mainly consisting of their own race have a lower rate of employment, while white men will have higher rates of employment.[4] Additionally, for those who immigrate illegally, it is easier to get certain low paying jobs. Because they often network within their community, these jobs are further concentrated with certain racial/ethnic groups.[20]

## Effects

### Wage gap

See also: Social:Gender pay gap

Women in female-dominated jobs pay two penalties: the average wage of their jobs is lower than that in comparable male-dominated jobs, and they earn less relative to men in the same jobs. Since 1980, occupational segregation is the single largest factor of the gender pay gap, accounting for over half of the wage gap.[32] In addition, women's wages are negatively affected by the percentage of females in a job, but men's wages are essentially unaffected.[33] Wages decreases occur for all workers, regardless of race. The crowding hypothesis postulates that occupational segregation lowers all women's earnings as a result of women's exclusion from primarily male occupations and segregation into a number of predominantly female-dominated occupations.[34] Given that feminine skills are traditionally rewarded less both in salary and prestige, the crowding of women into certain occupations makes these occupations valued less in both pay and prestige.

Crowding is found to be alleviated through macro-changes in occupational segregation. Teaching, for example, at least in recent generations, is traditionally a female-dominated profession. However, when positions open up for women in business and other high-earning occupations, school boards must raise the salaries of potential teachers to attract candidates. This is an example of how even women in traditionally female-dominated professions still benefit salary-wise from the gendered integration of the market.[34]

Wage gaps begin at the point of hire. In Penner's study on the role of occupational sorting for starting salary in a firm, he found that the average market salary rate for the women hired was 67 percent of that of men.[35] Compared to that of white people, the average market salary rate for black, Hispanics, and Asians were 72, 84, and 90 percent, respectively. Since market salary rates are predetermined before the applicants are hired, the differences in market salaries between each group is the result of occupational sorting.[8]

Globally, women continue to earn significantly less than men, with average earnings amounting to just 77 cents for every dollar earned by their male peers (International Labour Organization [ILO], 2022). This disparity is even more distinct for women who belong to marginalized groups—such as racial and ethnic minorities, migrants, or those with caregiving responsibilities—and for mothers in particular, an occurrence often referred to as the "motherhood wage penalty."[36]

Von Lockette found that in metropolitan areas with a high concentration of occupational segregation, less-educated black, Latino, and white males received less pay. In areas of residential segregation, white men were able to receive better pay, while black and Latino men received less, which indicates the possibility that social/job networks have an effect on pay.[4]

### Lost opportunities

The abilities women and minorities can offer are wasted because they are allocated to inappropriate roles. Those who are highly skilled cannot contribute to the "constantly changing labor economy", resulting in a decrease in efficiency and diverse thinking.[26] In addition, women face financial exclusion. Survey data from Ghana show that women cocoa farmers are about 20% less likely than men to secure loans and nearly 50% less likely to hold bank accounts, which keeps them out of better-paid roles and perpetuates occupational segregation.[37] This is due to a variety of reasons such as governmental restrictions,[38] barriers to land, credit, training, and leadership.[39] To actively keep black people out of higher positions in the workforce, management often allocates black executives to positions that are more racialized, such as diversity positions or liaison jobs that connect them to the black community.

## Measurement

Occupational segregation is measured using Duncan's D (or the index of dissimilarity), which serves as a measure of dissimilarity between two distributions.

To calculate D:

1. Identify N different occupations.
2. Calculate the percentage of men (or other ascribed category) who work in each of the occupations and the percentage of women who work in each occupation. Give each group a variable name (e.g. when comparing men and women, m1 equals the percentage of men, and w1 equals the percentage of women).
3. Duncan's D is calculated using this formula:[40] D=(1/2)∑i=1N(m1−w1)
* It is important to note that Duncan's D uses percentages. In a given occupation, the number of a certain demographic in that occupation should be divided by the total number of the same demographic in all of the occupations. For example: You may have 10 men who are nurses out of 600 total people. The value for the occupation of male nurses should be 10/600, or .0166.

Because it compares ratios of both groups, a score of 0 means that there is equal representation between the two groups, while a score of 1 demonstrates a high concentration of one group and unequal distribution between both groups.[24] The number derived from this equation is equal to the proportional of one group that must change their position for equality to happen.[40]

## Solutions

### Equal Employment Opportunity Commission

Title VII of the Civil Rights Act of 1964 was designed to ensure fair treatment and legal protection to women and minority groups.[41] Title VII states that it is illegal to "discriminate in employment based on a person's race, color, religion, sex, or national origin," and is enforced by the EEOC. Claims of discrimination are sent to the EEOC to be resolved. The EEOC also seeks out places where systemic discrimination occurs. It can have both direct and indirect effects in resolving discrimination: it can help the victim win cases against discrimination of their company, while simultaneously influencing companies around them to change their policies to avoid possible future transgressions. It also sets precedents in court under Title VII.[42]

The Equal Employment Opportunity Commission receives a report covering the race, ethnicity, and gender of employees in nine different categories from each private employer that have "more than 100 employees and government contractors with more than 50 employees and contracts worth $50,000." This was required by the Civil Rights Act of 1964.[43]

Wages increase as the EEOC charges against an industry increase. In the past few decades, wage increases as a response to filed court cases are larger for black women in comparison to white women. However, this could be due to more black women filing for discrimination. Wilhelm shows that filing for gender discrimination transgressions is working, but filing for racial discrimination transgressions is less likely to work.[42]

### Diversity programs

Common diversity practices include affirmative action plans, diversity committees and task forces, diversity managers, diversity training, diversity evaluations for managers, networking programs, and mentoring programs. Kalev found that diversity in the workplace does not occur as a result of programs like diversity training and diversity evaluations, which are intended to stop managerial stereotypes through education. When workplaces incorporated programs designed to help women and minorities increase their reach, like networking or mentoring, their diversity increased moderately. Programs that worked considerably were those that changed the structure of the workplace and held them responsible for change, such as affirmative action plans, diversity committees, and diversity staff positions. These programs acknowledge that segregation is systemic and more than just individual bias. White women benefit the most from affirmative action, and black women benefit more than black men. Implementation of these programs allow for the other programs to work better too.[43]

One drawback to initiatives such as affirmative action is that people may view women and minorities as undeserving of their positions. Other pushbacks to diversity training include white guilt and perceptions that minorities are trying to gain power over them.[43]

### Changes in culture

Gender egalitarian cultural principles, or changes in traditional gender norms, are one possible solution to occupational segregation in that they reduce discrimination, affect women's self-evaluations, and support structural changes. Horizontal segregation, however, is more resistant to change from simply modern egalitarian pressures.[15] Changes in norms may reinforce the impact of occupational integration in that once people see women in traditionally male-dominated occupations, their expectations about women in the labor market might be changed.[34]

Some scholars, such as Haveman and Beresford, therefore argue that any policies aimed at reducing occupational inequality must focus on culture changes.[28] According to Haveman and Beresford, people in the United States have historically tended to reject policies that only support one group (unless that group is them). Therefore, effective policies for limiting occupational segregation must aim to provide benefits across groups. Therefore, policies that aim at capping work hours for salaried workers or mandate on-site employer sponsored childcare might be most effective.[28]

In addition, the more occupational integration that occurs, the more women are in the positions to make powerful decisions affecting occupational segregation. If the overall market becomes less segregated, those who make personnel decisions in traditionally female-dominated occupations will have to make jobs, even higher status jobs, more attractive to women to retain them. School boards, for example, will have to appoint more women to department head positions and other positions of authority in order to retain women workers, whereas those jobs might previously have gone to men.[34]

## See also

* Achievement gap in the United States
* Banishment room
* Division of labour
* Employee morale
* Gender equality
* Glass ceiling
* Mommy track
* Occupational inequality
* Occupational sexism
* Online segregation
* Psychological impact of discrimination on health
* Shared earning/shared parenting marriage
* Social stratification
* Racial inequality in the United States
* Racial segregation in the United States
* Residential segregation in the United States

## References

1. ↑ Bergmann 1981.
2. ↑ 2.0 2.1 Alonso-Villar, Olga; Del Rio, Coral; Gradin, Carlos (April 2012). "The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender". Industrial Relations: A Journal of Economy and Society 51 (2): 179–212. doi:10.1111/j.1468-232X.2012.00674.x.
3. ↑ Maume, David J. (November 1999). "Glass Ceilings and Glass Escalators: Occupational Segregation and Race and Sex Differences in Managerial Promotions". Work and Occupations 26 (4): 483–509. doi:10.1177/0730888499026004005.
4. ↑ 4.0 4.1 4.2 4.3 4.4 Von Lockette, Niki Dickerson; Spriggs, William E. (January 2016). "Wage Dynamics and Racial and Ethnic Occupational Segregation among Less-Educated Men in Metropolitan Labor Markets". The Review of Black Political Economy 43 (1): 35–56. doi:10.1007/s12114-015-9222-5.
5. ↑ 5.0 5.1 5.2 5.3 Gradín, Carlos (December 2013). "Conditional occupational segregation of minorities in the US". The Journal of Economic Inequality 11 (4): 473–493. doi:10.1007/s10888-012-9229-0.
6. ↑ Weeden 2007.
7. ↑ Biblarz, Bengtson & Bucur 1996.
8. ↑ 8.0 8.1 8.2 8.3 Penner, Andrew M. (August 2008). "Race and Gender Differences in Wages: The Role of Occupational Sorting at the Point of Hire". The Sociological Quarterly 49 (3): 597–614. doi:10.1111/j.1533-8525.2008.00129.x.
9. ↑ Pothier, David (January 2018). "Occupational Segregation and the (Mis)allocation of Talent". The Scandinavian Journal of Economics 120 (1): 242–267. doi:10.1111/sjoe.12206.
10. ↑ Mills, Mary Beth (October 2003). "Gender and Inequality in the Global Labor Force". Annual Review of Anthropology 32 (1): 41–62. doi:10.1146/annurev.anthro.32.061002.093107.
11. ↑ Burris, Val (1982). "The Dialectic of Women's Oppression: Notes on the Relation Between Capitalism and Patriarchy". Berkeley Journal of Sociology 27: 51–74.
12. ↑ Bergeron, Suzanne (2015). "Formal, Informal, and Care Economies". The Oxford Handbook of Feminist Theory. pp. 179–206. doi:10.1093/OXFORDHB/9780199328581.013.10. ISBN 978-0-19-932858-1.
13. ↑ Bromley, Victoria (2012). Feminisms Matter. University of Toronto Press. [page needed]
14. ↑ Block, Katharina; Croft, Alyssa; De Souza, Lucy; Schmader, Toni (2019). "Do people care if men don't care about caring? The asymmetry in support for changing gender roles". Journal of Experimental Social Psychology 83: 112–131. doi:10.1016/j.jesp.2019.03.013.
15. ↑ 15.0 15.1 15.2 15.3 15.4 15.5 Charles 2003.
16. ↑ Snyder, Karrie Ann and Adam Isaiah Green. 2008. "'Revisiting the Glass Escalator: The Case of Gender Segregation in a Female Dominated Occupation." Social Problems 55(2): 271-299.
17. ↑ 17.0 17.1 Watts 2005.
18. ↑ Moss-Racusin, Corinne A.; Pietri, Evava S.; van der Toorn, Jojanneke; Ashburn-Nardo, Leslie (March 2021). "Boosting the Sustainable Representation of Women in STEM With Evidence-Based Policy Initiatives". Policy Insights from the Behavioral and Brain Sciences 8 (1): 50–58. doi:10.1177/2372732220980092.
19. ↑ "Share of graduates by field, female (%)" (in en). https://genderdata.worldbank.org/en/indicator/se-ter-grad-fe-zs?fieldOfStudy=Science,+Technology,+Engineering+and+Mathematics+(STEM).
20. ↑ 20.0 20.1 20.2 20.3 Alonso-Villar, Olga; Del Rio, Coral; Gradin, Carlos (April 2012). "The Extent of Occupational Segregation in the United States: Differences by Race, Ethnicity, and Gender". Industrial Relations: A Journal of Economy and Society 51 (2): 179–212. doi:10.1111/j.1468-232x.2012.00674.x.
21. ↑ Mintz, Beth; and Krymkowski, Daniel H. (December 2010). "The Intersection of Race/Ethnicity and Gender in Occupational Segregation: Changes over Time in the Contemporary United States". International Journal of Sociology 40 (4): 31–58. doi:10.2753/IJS0020-7659400402.
22. ↑ Cohen 2004.
23. ↑ 23.0 23.1 Tomaskovic-Devey, Donald; Zimmer, Catherine; Stainback, Kevin; Robinson, Corre; Taylor, Tiffany; McTague, Tricia (August 2006). "Documenting Desegregation: Segregation in American Workplaces by Race, Ethnicity, and Sex, 1966–2003". American Sociological Review 71 (4): 565–588. doi:10.1177/000312240607100403.
24. ↑ 24.0 24.1 24.2 24.3 Perry, Nancy; Reybold, L. Earle; Waters, Nigel (July 2014). "'Everybody Was Looking for a Good Government Job': Occupational Choice during Segregation in Arlington, Virginia". Journal of Urban History 40 (4): 719–741. doi:10.1177/0096144214524341.
25. ↑ Alonso-Villar, Olga; del Río, Coral (2 January 2017). "The Occupational Segregation of African American Women: Its Evolution from 1940 to 2010". Feminist Economics 23 (1): 108–134. doi:10.1080/13545701.2016.1143959.
26. ↑ 26.0 26.1 Maume, David J. (November 1999). "Glass Ceilings and Glass Escalators: Occupational Segregation and Race and Sex Differences in Managerial Promotions". Work and Occupations 26 (4): 483–509. doi:10.1177/0730888499026004005.
27. ↑ Damaske 2004.
28. ↑ 28.0 28.1 28.2 28.3 28.4 28.5 28.6 Haveman & Beresford 2012.
29. ↑ Mincer 1981.
30. ↑ Loutfi, Martha Fetherolf (2001). Women, Gender, and Work: What is Equality and How Do We Get There?. International Labour Organization. ISBN 92-2-111386-8. https://archive.org/details/womengenderworkw0000unse. Retrieved 21 October 2019.
31. ↑ Hanson & Pratt 1991.
32. ↑ "Fact Sheet: Occupational Segregation in the United States". 3 October 2017. https://equitablegrowth.org/fact-sheet-occupational-segregation-in-the-united-states/.
33. ↑ Cohen & Bianchi 1999.
34. ↑ 34.0 34.1 34.2 34.3 Cotter et al. 1997.
35. ↑ Barone, Carlo (April 2011). "Some Things Never Change: Gender Segregation in Higher Education across Eight Nations and Three Decades". Sociology of Education 84 (2): 157–176. doi:10.1177/0038040711402099. https://hal-sciencespo.archives-ouvertes.fr/hal-03606025/file/2011-barone-some-things-never-change.pdf.
36. ↑ "Equal pay for work of equal value" (in en). https://www.unwomen.org/en/news/in-focus/csw61/equal-pay.
37. ↑ Arhin, A. A. (2022). Tackling gender inequality in the cocoa supply chain: Are big chocolate companies delivering on their global commitments in Ghana? Oxfam Research Reports. https://oxfamilibrary.openrepository.com/bitstream/handle/10546/621352/rr-gender-inequality-cocoa-supply-chain-110222-en.pdf
38. ↑ United Nations Environment Programme (UNEP). 2018. Gender and the Environment: Resource Efficiency. Nairobi: UNEP.
39. ↑ Kuhn, Michaela; Tennhardt, Lina; Lazzarini, Gianna A. (June 2023). "Gender Inequality in the Cocoa Supply Chain: Evidence from Smallholder Production in Ecuador and Uganda". World Development Sustainability 2. doi:10.1016/j.wds.2022.100034.
40. ↑ 40.0 40.1 Duncan, Otis Dudley; Duncan, Beverly (1955). "A Methodological Analysis of Segregation Indexes". American Sociological Review 20 (2): 210–217. doi:10.2307/2088328.
41. ↑ Pedriana, Nicholas; Stryker, Robin (November 2004). "The Strength of a Weak Agency: Enforcement of Title VII of the 1964 Civil Rights Act and the Expansion of State Capacity, 1965–1971". American Journal of Sociology 110 (3): 709–760. doi:10.1086/422588.
42. ↑ 42.0 42.1 Wilhelm, Sarah A. (September 2002). "The Impact of Equal Employment Opportunity Commission Enforcement on the Wages of Black and White Women, 1988–1996". The Review of Black Political Economy 30 (2): 25–51. doi:10.1007/bf02717311.
43. ↑ 43.0 43.1 43.2 Kalev, Alexandra; Dobbin, Frank; Kelly, Erin (August 2006). "Best Practices or Best Guesses? Assessing the Efficacy of Corporate Affirmative Action and Diversity Policies". American Sociological Review 71 (4): 589–617. doi:10.1177/000312240607100404.

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### Bibliography

* Bergmann, B.R. (1981). "The Economic Risks of Being a Housewife". The American Economic Review (71): 81–6.
* Biblarz, T. J.; Bengtson, V. L.; Bucur, A. (1996). "Social mobility across three generations.". Journal of Marriage and the Family 58 (1): 188—200. doi:10.2307/353387.

* Chafetz, J.S. (1988). "The Gender Division of Labor and the Reproduction of Female Disadvantage: Toward an Integrated Theory". Journal of Family Issues 9 (1): 108–131. doi:10.1177/019251388009001006. PMID 12281309.
* Charles, M. (2003). "Deciphering Sex Segregation: Vertical and Horizontal Inequalities in Ten National Labor Markets". Acta Sociologica 46 (4): 267–287. doi:10.1177/0001699303464001.
* Cohen, P. (2004). "The Gender Division of Labor: 'Keeping House' and Occupational Segregation in the United States". Gender and Society 18 (2): 239–52. doi:10.1177/0891243203262037.
* Cohen, P.N.; Bianchi, S.M. (1999). "Marriage, children, and women's employment: What do we know?". Monthly Labor Review (122): 22–31.
* Cotter, D.A.; DeFiore, J.; Hermsen, J.M.; Kowalewski, B.M.; Vanneman, R. (1997). "All women benefit: The macro-level effect of occupational integration on gender earnings equality". American Sociological Review 62 (5): 714–34. doi:10.2307/2657356.
* Damaske, S. (2004). "A 'Major Career Woman'? How Women Develop Early Expectations About Work". Gender and Society (25): 409–430.
* Hanson, S.; Pratt, G. (1991). "Job Search and the Occupational Segregation of Women". Annals of the American Association of Geographers 81 (2): 229–253. doi:10.1111/j.1467-8306.1991.tb01688.x.
* Haveman, H.A.; Beresford, L.S. (2012). "If you're so smart, why aren't you the boss? Explaining the persistent vertical gender gap in management". The Annals of the American Academy of Political and Social Science 639: 114–30. doi:10.1177/0002716211418443. https://escholarship.org/uc/item/1xf2r797.
* Mincer, Jacob (November 1981). ﻿Human Capital and Economic Growth﻿ (Report). doi:10.3386/w0803.
* Tilcsik, András; Anteby, Michel; Knight, Carly R. (September 2015). "Concealable Stigma and Occupational Segregation: Toward a Theory of Gay and Lesbian Occupations". Administrative Science Quarterly 60 (3): 446–481. doi:10.1177/0001839215576401. http://nrs.harvard.edu/urn-3:HUL.InstRepos:41543202.
* Watts, M.J. (2005). "On the Conceptualisation and Measurement of Horizontal and Vertical Occupational Gender Segregation". European Sociological Review 21 (5): 481–488. doi:10.1093/esr/jci034.
* Weeden, K. (2007). Ritzer, George. ed. Occupational Segregation. Blackwell Publishing.
* Online: "Blackwell Reference Online". 31 March 2008. http://www.blackwellreference.com/subscriber/tocnode?id=g9781405124331_chunk_g978140512433121_ss1-4.

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Aspects of occupations

* Apartheid
* Asthma
* Burnout
* Closure
* Crime
* Disease
* Fatality
* Hygiene
* Inequality
* Injury
* Injustice
* Medicine
* Prestige
* Psychology
* Psychosis
* Rehabilitation
* Repetitive strain injury
* Safety and health
* Science
* Stress
* Therapist
* Therapy
* Therapy in the United Kingdom

See also templates
Aspects of corporations
Aspects of jobs
Aspects of organizations
Aspects of workplaces
Occupational safety and health
Employment

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* t
* e

Discrimination

General forms|

* Age
* Caste
* Class
* Color
* Disability
* Genotype
* Hair texture
* Height
* Language
* Looks
* Mental condition
* Race / Ethnicity / Nationality
* Rank
* Religion
* Sex
* Sexual orientation
* Size
* Species

Social|

* Acephobia
* AIDS stigma
* Adultism
* Amatonormativity
* Anti-albinism
* Anti-autism
* Anti-homelessness
* Anti-intellectualism
* Anti-intersex
* Anti-left handedness
* Anti-Masonry
* Antisemitism (Judeophobia)
* Aporophobia
* Audism
* Biphobia
* Clannism
* Cronyism
* Drug use
* Elitism
* Ephebiphobia
* Fatism
* Gerontophobia
* Heteronormativity
* Heterosexism
* Homophobia
* Leprosy stigma
* Lesbophobia
* Misandry
* Misogyny
* Nepotism
* Pedophobia
* Pregnancy
* Reverse
* Sectarianism
* Sexism
* Shadeism
* Supremacism
* Black
* White
* Transphobia
* Non-binary
* Transmisogyny
* Vegaphobia
* Xenophobia

Religious|

* Ahmadiyya
* Atheism
* Bahá'í Faith
* Buddhism
* Catholicism
* Christianity
* Modern
* Hinduism
* Persecution
* Falun Gong
* Islam
* Persecution
* Judaism
* Persecution
* Jehovah's Witnesses
* LDS or Mormon
* Neopaganism
* Eastern Orthodox
* Oriental Orthodox
* Rastafarianism
* Protestantism
* Shia
* Sufism
* Zoroastrianism

Ethnic/National|

* Albanian
* African
* American
* Arab
* Armenian
* Australian
* Austrian
* British
* Canadian
* Catalan
* Chilean
* Croat
* Chinese
* Dutch
* English
* Estonian
* European
* Filipino
* Finnish
* French
* German
* Georgian
* Greek
* Haitian
* Hazara
* Hindus
* Hispanic
* Hungarian
* Igbo
* Indian
* Iranian or Persian
* Irish
* Israeli
* Italian
* Japanese
* Jewish
* Khmer
* Korean
* Kurds
* Malay
* Mexican
* Middle Eastern
* Mongolian
* Pakistani
* Pashtun
* Polish
* Portuguese
* Quebec
* Romani
* Romanian
* Russian
* Scottish
* Serb
* Slav
* Soviet
* Thai
* Turks
* Ukrainian
* Vietnamese
* Western

Manifestations|

* Animal cruelty
* Animal industrial complex
* Animal testing
* Blood libel
* Blood sport
* Bullying
* Carnism
* Compulsory sterilization
* Counter-jihad
* Cultural genocide
* Democide
* Disability hate crime
* Educational
* Economic
* Eliminationism
* Employment
* Enemy of the people
* Ethnic cleansing
* Ethnic hatred
* Ethnic joke
* Ethnocide
* Forced conversion
* Freak show
* Gay bashing
* Gendercide
* Genital mutilation
* Genocide
* examples
* Glass ceiling
* Group libel
* Hate crime
* Hate group
* Hate speech
* Homeless dumping
* Housing
* Indian rolling
* LGBT hate crime
* Lavender scare
* Lynching
* Meat eating
* Mortgage
* Murder music
* Occupational segregation
* Persecution
* Pogrom
* Purge
* Race war
* Red Scare
* Religious persecution
* Scapegoating
* Segregation academy
* Sex-selective abortion
* Slavery
* Slut-shaming
* Religious terrorism
* Religious violence
* Religious war
* Trans bashing
* Victimisation
* Violence against women
* White flight
* White power music
* Wife selling
* Witch-hunt

Discriminatory
policies|

* Segregation
* age
* racial
* religious
* sexual
* Age of candidacy
* Blood purity
* Blood quantum
* Crime of apartheid
* Disabilities
* Jewish
* Catholic
* Ethnocracy
* Ethnopluralism
* Gender pay gap
* Gender roles
* Gerontocracy
* Gerrymandering
* Ghetto benches
* Internment
* Jewish quota
* Jim Crow laws
* Law for Protection of the Nation
* McCarthyism
* MSM blood donor controversy
* Nonpersons
* Numerus clausus (as religious or racial quota)
* Nuremberg Laws
* One-drop rule
* Racial quota
* Racial steering
* Redlining
* Same-sex marriage (laws and issues prohibiting)
* State atheism
* State religion
* Sodomy law
* Ugly law
* Voter suppression

Countermeasures|

* Affirmative action
* Animal rights
* Anti-discrimination law
* Cultural assimilation
* Cultural pluralism
* Diversity training
* Empowerment
* Feminism
* Fighting Discrimination
* Human rights
* Intersex rights
* LGBT rights
* Masculism
* Multiculturalism
* Nonviolence
* Racial integration
* Reclaimed word
* Self-determination
* Social integration
* Toleration
* Vegetarianism
* Veganism

Related topics|

* Allophilia
* Anthropocentrism
* Anti-cultural sentiment
* Assimilation
* Bias
* Christian privilege
* Data discrimination
* Dehumanization
* Diversity
* Ethnic penalty
* Eugenics
* Internalized oppression
* Intersectionality
* Madonna–whore complex
* Male privilege
* Masculism
* Medical model of disability
* autism
* Multiculturalism
* Neurodiversity
* Oikophobia
* Oppression
* Police brutality
* Political correctness
* Polyculturalism
* Power distance
* Prejudice
* Racial bias in criminal news
* Racism by country
* Religious intolerance
* Second-generation gender bias
* Snobbery
* Social exclusion
* Social model of disability
* Social stigma
* Stereotype
* threat
* White privilege

* Category

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1. ↑ Nations, United. "International Equal Pay Day" (in en). https://www.un.org/en/observances/equal-pay-day.

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