Salaries of Recent Male and Female College Graduates: Educational and Labor Market Effects

ILR Review ◽  
2003 ◽  
Vol 56 (4) ◽  
pp. 606-621 ◽  
Author(s):  
Lois Joy
Keyword(s):  
Gender Differences ◽  
Labor Market ◽  
College Graduates ◽  
Wage Gap ◽  
Academic Variables ◽  
Men And Women ◽  
Market Effects ◽  
Male College ◽  
Market Variables ◽  
Using Data

Why do recent male college graduates earn more than their female counterparts? The author explores this question by estimating several salary regressions using data from the 1993–94 NCES Baccalaureate and Beyond Longitudinal Study. The results suggest that labor market variables outweighed academic variables in their contribution to the gender salary gap. Of the academic variables, gender differences in total credits accounted for more of the salary gap than did gender differences in majors, grades, or institution attended. Of the labor market variables, gender differences in job sector, industry, and hours worked had the largest effect on gender differences in salaries. Differences in how men and women searched for and selected first jobs appear to have had little impact on gender differences in salary. Most important, as much as 75% of the wage gap remains unexplained by both the academic and labor market variables.

Different Governments, Different Interests: The Gender Gap in Political Interest

2018 ◽  
Vol 26 (3) ◽  
pp. 348-369 ◽  
Author(s):  
Irene Sánchez-Vítores
Keyword(s):  
Gender Differences ◽  
Labor Market ◽  
Gender Gap ◽  
Local Politics ◽  
Political Interest ◽  
Social Dimensions ◽  
National Politics ◽  
Men And Women ◽  
Using Data ◽  
Proportional Reduction

Abstract In recent decades, differences between men and women have blurred in many social dimensions, including levels of educational attainment or access to the labor market. However, this increase in equality has not been reflected in a proportional reduction in the gender gap in political interest. This paper evaluates the extent of gender differences in political interest regarding different arenas, considering the moderating effect of marriage and caring for others using data from the Citizenship, Involvement, and Democracy Project. Although women generally find local politics more interesting than national politics, family, and caring responsibilities are still a source of disadvantage.

Labor Market Effects of Marijuana and Cocaine Use among Young Men

ILR Review ◽  
1992 ◽  
Vol 45 (3) ◽  
pp. 435-448 ◽  
Author(s):  
Charles A. Register ◽  
Donald R. Williams
Keyword(s):  
Labor Market ◽  
Drug Use ◽  
Longitudinal Survey ◽  
National Longitudinal Survey ◽  
Productivity Effect ◽  
Cocaine Use ◽  
Market Effects ◽  
Net Productivity ◽  
Using Data

Using data on marijuana and cocaine use from the 1984 National Longitudinal Survey of Youth, the authors examine the hypothesis that drug use reduces labor market productivity, as measured by wages. From an analysis that controls for the probability of employment and the endogeneity of drug use, they find that although long-term and on-the-job use of marijuana negatively affected wages, the net productivity effect for all marijuana users (both those who engaged in long-term or on-the-job use and those who did not) was positive. No statistically significant association was found between cocaine use and productivity.

Interindustry Wage Differentials and the Gender Wage Gap

ILR Review ◽  
1995 ◽  
Vol 49 (1) ◽  
pp. 105-120 ◽  
Author(s):  
Judith Fields ◽  
Edward N. Wolff
Keyword(s):  
Population Survey ◽  
Wage Differentials ◽  
Gender Wage Gap ◽  
Wage Gap ◽  
Female Worker ◽  
Industry Effects ◽  
Men And Women ◽  
Female Workers ◽  
Highly Correlated ◽  
Using Data

Using data from the March 1988 Current Population Survey, the authors find that the wages of female workers differ significantly by industry, even when the analysis controls for workers' productivity-related characteristics. Although these interindustry wage differentials are at least as large as men's and are highly correlated with them as well, there are statistically significant differences between the two. Of the overall gender wage gap (the average female worker earns about 65% as much as the average male worker), 12–22% can be explained by differences between the patterns of interindustry wage differentials of men and women and 15–19% by differences in the distribution of male and female workers across industries. Thus, the combined industry effects explain about one-third of the overall gender wage gap.

scholarly journals Gender Features of Time Allocation, Gender Stereotypes and Labour Supply

Equilibrium ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. 85-102
Author(s):  
Tamila Arnania-Kepuladze
Keyword(s):  
Gender Differences ◽  
Economic Development ◽  
Labor Market ◽  
Labor Supply ◽  
Time Allocation ◽  
Well Being ◽  
Working Time ◽  
Allocation Model ◽  
Men And Women ◽  
Different Types

Securing the well-being, protection of human rights and equality on the ground of age, gender, race, nationality etc along with sustainable economic development becomes the most important goal for any country. Gender differences in labor market are a problem of many countries. Being a larger demographic group, women have played a vital role in employment and economic development. Despite longstanding striving for gender equality, the inequality manifests itself in labor markets around the world. There is no common opinion on the reasons of the existence of gender differences in economic literature. After decades of research most investigators would agree that there can be no single-factor explanation for gender inequality in the labor market. One of the conventional explanations of gender gap in employment sphere includes the differences in men’s and women’s preferences in working hours due their stereotypical roles in the private and public life. This paper is focused on the study of gender feature of time allocation and its impact on the labor supply by men and women. For this purpose, based on the different types of activity, particular: income getting or in­co­me increasing promote activity, non-monetary inco­me obtain activity, income-make activity, non-income-make activity, indirect-receipts activity, the author introduces the time allocation model which includes parameters such as working time, leisure, non-working time, using time, free time and time for satisfying an individual’s physiological needs. For the attribution of different types of practice to certain kinds of activity the “principle of dominant purpose of activity” was offered. According to given time allocation model, the  pattern of features of labor supply by men and women is offered in the paper.

scholarly journals The persistence of pay inequality: The gender pay gap in an anonymous online labor market

2019 ◽  
Author(s):  
Leib Litman ◽  
Jonathan Robinson ◽  
Zohn Rosen ◽  
Cheskie Rosenzweig ◽  
Josh Waxman ◽  
...  
Keyword(s):  
Labor Market ◽  
Labor Markets ◽  
Wage Gap ◽  
Gender Pay Gap ◽  
Pay Gap ◽  
Men And Women ◽  
Work Arrangements ◽  
Online Labor Markets ◽  
Experience Education ◽  
Online Labor

Studies of the gender pay gap are seldom able to simultaneously account for the range of alternative putative mechanisms underlying it. Using CloudResearch, an online microtask platform connecting employers to workers who perform research-related tasks, we examine whether gender pay discrepancies are still evident in a labor market characterized by anonymity, relatively homogeneous work, and flexibility. For 22,271 Mechanical Turk workers who participated in nearly 5 million tasks we analyze hourly wages by gender, controlling for key covariates which have been shown previously to lead to differential pay for men and women. On average, women’s hourly earnings were 10.5% lower than men’s. Several factors contributed to the gender wage gap, including the tendency for women to select tasks that have lower advertised hourly pay. This study provides evidence that gender pay gaps can arise despite the absence of overt discrimination, labor segregation, and inflexible work arrangements, even after experience, education, and other human capital factors are controlled for. Findings highlight the need to examine other possible causes of the gender pay gap. Potential strategies for reducing the pay gap on online labor markets are also discussed.

scholarly journals Assessing the Impact of Gender and Race on Earnings in the Library Science Labor Market

2010 ◽  
Vol 71 (2) ◽  
pp. 171-183 ◽  
Author(s):  
Darren Sweeper ◽  
Steven A. Smith
Keyword(s):  
Labor Market ◽  
Theoretical Model ◽  
National Survey ◽  
College Graduates ◽  
Library Science ◽  
Cross Sectional ◽  
Male And Female ◽  
Income Differences ◽  
Using Data ◽  
The Impact

Using data from the 2003 National Survey of College Graduates, this paper examines earnings in the library science labor market and assesses the impact of gender on the income attainment process. We use this cross-sectional dataset to determine if there are significant income differences between male and female library science professionals. The approach taken in this paper is to build a theoretical model of income attainment for librarians. We then discuss the methodology used to analyze the data and test the model, followed by a discussion of the results and recommendations for further research.

Women and leisure in the Italian context.

2021 ◽  
pp. 152-167
Author(s):  
Emanuela Bologna ◽  
Simona Staffieri
Keyword(s):  
Gender Differences ◽  
Leisure Time ◽  
Future Research ◽  
Cultural Participation ◽  
Important Indicator ◽  
Men And Women ◽  
Sociocultural Characteristics ◽  
Using Data ◽  
Italian Context ◽  
The Way

Abstract Gender is an important indicator of the processes of social change affecting contemporary society, although in the field of leisure research, it has not always received attention. To fill this gap, recent research proposes to include gender as a significant aspect in leisure paradigms. The chapter aims to analyse gender differences in the use of leisure time within the Italian context using data periodically produced by official statistics. Data, collected over time, make it possible to observe the changes occurring in the way men and women spend their leisure time. The chapter is structured according to the main dimensions of leisure, such as social relationships, sports practice, tourism, cultural participation, and satisfaction with leisure time. To observe gender differences, statistical methods (descriptive and multivariate analysis) were implemented. The results highlight the existence of strong differences in the way in which men and women spend their leisure time. Gender differences are often linked to demographic or sociocultural characteristics, such as age, level of education, or economic conditions. Results presented in the chapter could be used to frame future research aimed at solving weakness and to fill information gaps in Italian leisure gender studies.

The gender gap in pre-career salary expectations: a test of five explanations

2014 ◽  
Vol 19 (4) ◽  
pp. 404-425 ◽  
Author(s):  
Linda Schweitzer ◽  
Sean Lyons ◽  
Lisa K.J. Kuron ◽  
Eddy S.W. Ng
Keyword(s):  
Labor Market ◽  
Secondary Students ◽  
Gender Gap ◽  
Work Values ◽  
Dynamic Models ◽  
Wage Gap ◽  
Economic Downturn ◽  
Men And Women ◽  
Content Type ◽  
Salary Expectations

Purpose – The purpose of this paper is to investigate the gender gap in pre-career salary expectations. Five major explanations are tested to explain the gap, as well as understand the relative contribution of each explanation. Design/methodology/approach – Data were collected from 452 post-secondary students from Canada. Findings – Young women had lower initial and peak salary expectations than their male counterparts. The gap in peak salary could be explained by initial salary expectations, beta values, the interaction between beta values and gender, and estimations of the value of the labor market. Men and women in this study expected to earn a considerably larger peak salary than they expected for others. Research limitations/implications – Cross-sectional data cannot infer causality, and the Canadian sample may not be generalizable to other countries given that an economic downturn occurred at time of data collection. Research should continue to investigate how individuals establish initial salary expectations, while also testing more dynamic models given the interaction effect found in terms of gender and work values in explaining salary expectations. Practical implications – The majority of the gender gap in peak salary expectations can be explained by what men and women expect to earn immediately after graduation. Further, women and men have different perceptions of the value they attribute to the labor market and what might be a fair wage, especially when considering beta work values. Social implications – The data suggests that the gender-wage gap is likely to continue and that both young men and women would benefit from greater education and information with respect to the labor market and what they can reasonably expect to earn, not just initially, but from a long-term perspective. Originality/value – This study is the first to simultaneously investigate five theoretical explanations for the gender gap in pre-career expectations.

What We Do Not Know: Answers From the SIOP Income and for Peer Review Employment Survey

2018 ◽  
Vol 11 (3) ◽  
pp. 407-410
Author(s):  
Brandy Parker ◽  
Anna Wiggins ◽  
Erin Richard ◽  
Natalie Wright ◽  
Kristl Davison ◽  
...  
Keyword(s):  
Gender Differences ◽  
Ad Hoc ◽  
Full Time ◽  
Institutional Research ◽  
Research Committee ◽  
Men And Women ◽  
Income Gap ◽  
Market Factors ◽  
Using Data ◽  
Employment Survey

Gardner, Ryan, and Snoeyink (2018) emphasize the need to assess human capital and market factors that may contribute to gender differences in income and suggest that such data are not readily available. As members of the Institutional Research Committee, we thought it important to provide some evidence addressing the focal article's main points using what data are available. Specifically, we conducted ad hoc analyses using data from the 2016 SIOP Income and Employment Survey, with the intent of providing additional context related to employment and compensation for industrial and organizational (I-O) psychologists. Our sample included only respondents who indicated that they worked full time and who provided their gender (n = 1,069). These analyses answer Gardner et al.’s call to examine factors that explain the income gap between men and women within the field.

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