A Tale of Two Majors: Explaining the Gender Gap in STEM Employment among Computer Science and Engineering Degree Holders

Factors shaping the gender wage gap among college-educated computer science workers

Encouraging women to pursue STEM employment is frequently touted as a means of reducing the gender wage gap. We examine whether the attributes of computer science workers-who account for nearly half of those working in STEM jobs-explain the persistent gender wage gap in computer science, using American Community Survey (ACS) data from 2009 to 2019. Our analysis focuses on working-age respondents between the ages of 22 and 60 who had a college degree and were employed full-time. We use ordinary least squares (OLS) regression of logged wages on observed characteristics, before turning to regression decomposition techniques to estimate what proportion of the gender wage gap would remain if men and women were equally rewarded for the same attributes-such as parenthood or marital status, degree field, or occupation. Women employed in computer science jobs earned about 86.6 cents for every dollar that men earned-a raw gender gap that is smaller than it is for the overall labor force (where it was 82 percent). Controlling for compositional effects (family attributes, degree field and occupation) narrows the gender wage gap, though women continue to earn 9.1 cents per dollar less than their male counterparts. But differential returns to family characteristics and human capital measures account for almost two-thirds of the gender wage gap in computer science jobs. Women working in computer science receive both a marriage and parenthood premium relative to unmarried or childless women, but these are significantly smaller than the bonus that married men and fathers receive over their childless and unmarried peers. Men also receive sizable wage premiums for having STEM degrees in computer science and engineering when they work in computer science jobs, advantages that do not accrue to women. Closing the gender wage gap in computer science requires treating women more like men, not just increasing their representation.

Analysis of the retention of women in higher education STEM programs

Gender equity and quality education are Sustainable Development Goals that are present when a culture of equity and inclusion is pursued in society, companies, and institutions. Particularly in undergraduate programs in Science, Technology, Engineering, and Mathematics (STEM), there is a noticeable gender gap between men and women. The objective of this study was to find out the causes of permanence in STEM careers of women, as well as the possible causes of career abandonment towards another STEM or non-STEM career. This was done by analyzing historical data for admission to STEM careers and using an instrument (survey) for data collection carried out in a private university in Mexico. Historical data indicates that only 17% of the total population were women choosing a STEM career. A survey was carried out for 3 months to obtain information on the factors that affect the decision to opt for a STEM career or to remain in it. It was found that men and women prefer inspiring Faculty who motivate them to continue their careers. Factors such as the competitive environment and the difficulty of teaching with less empathetic Faculty were negative and decisive aspects of decision-making. School achievement did not influence the dropout rate of women in STEM careers. The factors of choice and desertion of women in STEM careers were determined, and actions of educational innovation such as mentoring and timely monitoring of already enrolled female students, digital platforms for students and Faculty, awareness workshops for Faculty, and talks with successful women in STEM areas were proposed.

Using social media advertisement data to monitor the gender gap in STEM: opportunities and challenges

Boosting the number of women and girls entering careers involving STEM (Science, Technology, Engineering and Maths) is crucial to achieving gender equality, one of the UN Sustainable Development Goals. Girls and women tend to gravitate away from STEM fields at multiple stages from childhood through mid-career. The leaky pipeline is a metaphor often used to describe the loss of women in STEM and arguably other fields before reaching senior roles. Do interests expressed on social media mirror the leaky pipeline phenomenon? In this article, we collected advertisement data (reach estimates) from Facebook and Instagram disaggregated by US metros, age, gender, and interests related to STEM. We computed the Gender Gap Index (GGI) for each US metro and age group. We found that on Instagram, the GGIs for interest in Science decrease as users' age increases, suggesting that relatively there is evidence that that women, compared to men, are losing interest in STEM at older ages. In particular, we find that on Instagram, there are plausible relative trends but implausible absolute levels. Nevertheless, is this enough to conclude that online data available from Instagram mirror the leaky pipeline phenomenon? To scrutinize this, we compared the GGIs for an interest in Science with the GGIs for placebo interests unrelated to STEM. We found that the GGIs for placebo interests follow similar age patterns as the GGIs for the interest in Science across US metros. Second, we attempted to control for the time spent on the platform by computing a usage intensity gender ratio based on the difference between daily and monthly active users. This analysis showed that the usage intensity gender ratio is higher among teenagers (13-17 years) than other older age groups, suggesting that teenage girls are more engaged on the platform that teenage boys. We hypothesize that usage intensity differences, rather than inherent interest changes, might create the illusion of a leaky pipeline. Despite the previously demonstrated value and huge potential of social media advertisement data to study social phenomena, we conclude that there is little evidence that this novel data source can measure the decline in interest in STEM for young women in the USA.

The Place of Gender Stereotypes in the Network of Cognitive Abilities, Self-Perceived Ability and Intrinsic Value of School in School Children Depending on Sex and Preferences in STEM

Adolescents face many barriers on the path towards a STEM profession, especially girls. We examine the gender stereotypes, cognitive abilities, self-perceived ability and intrinsic values of 546 Russian school children from 12 to 17 years old by sex and STEM preferences. In our sample, STEM students compared to no-STEM have higher cognitive abilities, intrinsic motivation towards math and science, are more confident in their math abilities and perceive math as being easier. Boys scored higher in science, math and overall academic self-efficacy, intrinsic learning motivation and math's importance for future careers. Meanwhile, girls displayed higher levels of gender stereotypes related to STEM and lower self-efficacy in math. A network analysis was conducted to identify the structure of psychological traits and the position of the stem-related stereotypes among them. The analysis arrived at substantially different results when adolescents were grouped by sex or preference towards STEM. It also demonstrated that gender stereotypes are connected with cognitive abilities, with a stronger link in the no-STEM group. Such stereotypes play a more important role for girls than boys and, jointly with the general self-efficacy of cognitive and academic abilities, are associated with the factors that distinguish groups of adolescents in their future careers.

The Geography of Jobs: How Proximity to a Prestige Labor Market Shapes Opportunity for Computer Science Degree Holders

A computer science degree is seen as a good investment, given the lucrative calling of Silicon Valley and the ever-growing demand for software engineers. Yet, it is unclear whether all computer science degree holders fare equally well on the job market. This study explores how the routing of computer science (CS) students to specific educational geographies plays a major role in determining their career trajectories post-graduation. Using a new survey for recent computer science graduates of three public universities in Texas, I measure labor market outcomes for CS degree holders along three metrics: salary, job location, and job title. Results from 157 respondents show that alumni from universities near a major tech hub are more likely to earn higher wages in desirable job markets compared with graduates from a university located far from a dense tech hub. Although most previous studies have focused on gender and racial disparities within the high-tech industry, I provide a new lens to understand how inequality manifests through geographic segregation and leaves even high-skilled job seekers vulnerable to spatial mismatch between their place of residence and proximity to desirable, elite jobs.

Multimedia Analysis of Spanish Female Role Models in Science, Technology, Engineering and Mathematics

Horizontal segregation in the higher education framework is a problem that goes up in the work environment. Women are assuming traditional gender roles due to phenomena such as the threat of stereotyping, which prevents them from opting for higher studies in science, technology, engineering and mathematics (STEM). This research work arises within the project W-STEM, “Building the Future of Latin America: Involving Women in STEM”. The research aims to investigate women’s academic and professional development in science, technology, engineering and mathematics (STEM) through their personal experience in making career-related decisions. The research was developed by applying a qualitative method. During the year 2020, video semi-structured interviews were conducted with twenty-one women professionals in the STEM field. Of the twenty-one participants, six are linked to science, eight to technology, fifteen to engineering and one to mathematics. Due to their research lines, some of them are located in more than one STEM area, for example, in technology and engineering. These women were interviewed about their choice of studies and training, their jobs, professional achievements, family and social environment and their perspective on the gender gap in STEM. They all agree on horizontal segregation and consider it necessary to motivate girls and young women to study what they like. Furthermore, they all show passion for their work.

Graduates’ Opium? Cultural Values, Religiosity and Gender Segregation by Field of Study

This paper studies the relationship between cultural values and gender distribution across fields of study in higher education. I compute national, field and subfield-level gender segregation indices for a panel dataset of 26 OECD countries for 1998–2012. This panel dataset expands the focus of previous macro-level research by exploiting data on gender segregation in specific subfields of study. Fixed-effects estimates associate higher country-level religiosity with lower gender segregation in higher education. These models crucially control for potential segregation factors, such as labor market and educational institutions, and gender gaps in both self-beliefs and academic performance in math among young people.

“Girl Power”: Gendered Academic and Workplace Experiences of College Women in Engineering

Women in engineering continue to experience bias in the field. This constructivist case study uses feminist theory to examine the gendered experiences of graduating senior women engineering students in academic and workplace environments. In each setting we identified three subthemes; in academia: “I don’t think my education is any different,” “Being underestimated constantly,” and “You don’t want to be seen as getting advantages”; in the workplace: “Oh, you’re a girl,” “There’s a lot of sexism,” and Benefits of “girl power.” Overall, findings indicate that women experience bias in both settings, often via implicit bias in academia and with instances of implicit bias, sexism, and sexual harassment occurring even more often in the workplace through internship experiences. The article concludes with suggestions for practice, future research, and strategies to create supportive academic and workplace experiences and environments for women engineers.

Entry and Degree Attainment in STEM: The Intersection of Gender and Race/Ethnicity

This study focused on entry to and attainment of bachelor’s degrees in science, technology, engineering, and mathematics (STEM) fields, by examining gender and race/ethnicity in an intersectional manner and paying particular attention to STEM subfields. The intersectional analysis extends previous research findings that female students are more likely to persist in college once they are in a STEM field and further reveals that racial minority women share the same tendency of persistence with white women. Women and racial minorities are most under-represented in physical-STEM fields. Our analysis reveals that black men would have had the highest probability to graduate in physical-STEM fields, had they had the family socioeconomic background and academic preparations of Asian males. This highlights the critical importance of family socioeconomic background and academic preparations, which improves the odds for STEM degree attainment for all groups. Out of these groups, black students would have experienced the most drastic progress.