NATIONAL SCIENCE FOUNDATION
Directorate for Social, Behavioral
and Economic Sciences
NSF 99-352 July 26, 1999
by Bhavya Lal,
Sam Yoon, Ken
How Large is the Gap in Salaries of
Male and Female Engineers?
The salary gap is primarily explained by the fact that female engineers, on average, are less experienced than males.
On average, women in engineering occupations had five fewer years experience than men.
Recent studies have found that in the United States, women earn between 71-74 cents for every dollar earned by men. However, such findings often do not take into account a variety of factors that alone or together may explain much of this gap between men’s and women’s salaries.
This issue brief examines the gender salary gap in engineering, an occupation in which women held 10 percent of the jobs in 1995. Using multivariate regression analysis, the authors explored various potential explanations for the salary gap in this occupation. The study showed that the salary gap is primarily explained by the fact that female engineers, on average, have fewer years of experience since their first baccalaureate degree than males; salaries of female and male engineers with similar years of experience are virtually the same.
Using 1995 survey data from the National Science Foundation, the study focused on U.S. residents who were employed full-time as engineers; these included approximately 1.5 million college graduates of all ages in 16 engineering occupations. Within this population, the median salary for women was 13 percent less than the median salary for men; i.e., women in engineering earned 87 cents for every dollar earned by men, higher than that for the general population. This is consistent with other results that show that the earnings gap lessens significantly when women are compared with men with similar educational backgrounds and occupations.
The analysis first explored whether men and women differed on a number of measures such as educational field (engineering vs. non-engineering), employment sector, geographic region, engineering specialty, highest degree attained, and years of experience. Regression analysis was then used to determine whether these factors, alone or together, could help explain the gender salary gap among engineers. This technique provides an estimate of the size of the salary gap if men and women were identical on these measures.
Occupational Characteristics of Males and Females
The remaining 2 percent difference cannot be explained with the available variables. Although statistically significant, the remaining difference is small compared to sources of errors such as the tendency to round salaries to the nearest $1,000, and the possible effect of factors not covered by the survey.
Limitations of the Analysis
Further research in this area needs to consider other circumstantial factors that could enhance explanation of the gender salary gap in engineering. These factors include, but are not limited to, degree combinations, worker productivity, quality of the school or department from which the individual received degree(s), quality of the employer, and lifestyle or family-related choices.
We could not fully explore why there are fewer older women in the engineering workforce. One factor is a lower proportion of female engineering graduates 30 years ago than in recent years. However, the analysis also showed that women with engineering degrees were working in occupations other than engineering more often than men. Further analysis is needed to explore these issues.
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 The authors are researchers at Abt Associates, Inc., Cambridge, MA. This study was supported by NSF’s Directorate for Engineering, Division of Engineering Education and Centers.
 Castro, Ida, Equal Pay: A Thirty Five Year Perspective, U.S. Department of Labor, Women’s Bureau. June 1998; Gender Gap Theory Collapses Under Scrutiny, Frontiers: Electronic Newsletter of NSF, January 1997; Institute for Women’s Policy Research web page (1998) – http://www.iwpr.org/EE98.HTM; Fuchtgott-Roth, Diana and Stolba, Christine, Women’s Figures: An Illustrated Guide to the Economic Progress of Women in America, American Enterprise Institute for Public Policy Research, March 1999.
 National Science Foundation, Division of Science Resources Studies, SESTAT (Scientists and Engineers Statistical Data System), 1995.
 These data were derived from SESTAT (Scientists and Engineers Statistical Data System), a comprehensive and integrated system of information about the employment, educational, and demographic characteristics of scientists and engineers in the United States. For more information, see the SESTAT Web page (http://sestat.nsf.gov).
 Unlike other publications using SESTAT data, this study included both computer software engineers and engineering faculty as engineering occupations. Not included are the engineering-related occupations of technical manager and engineering technologist. All engineers discussed in this brief have a baccalaureate or higher degree.
 See Hecker, Daniel, “Earnings of College Graduates: Women Compared with Men,” U.S. Department of Labor, Monthly Labor Review, March 1998. Studying salaries of men and women within a single occupation like engineering avoids more complex approaches when comparing them across occupations in which men or women dominate, e.g., nursing and engineering, even when similar educational levels are normally required for each of the occupations being compared.
 Including self-employment.
 See Jacobson, Joyce and Levin, Laurence M. 1995. “Effects of Intermittent Labor Force Attachment on Women’s Earnings.” Monthly Labor Review. September, 1995. (pp.14-19).
 Burton, Lawrence, and Parker, Linda, The Education and Employment of Engineering Graduates. Arlington, VA: National Science Foundation, 1999, forthcoming.
 These factors were also overlooked in the chapter on salary gap in the NSF publication, Women, Minorities, and Persons with Disabilities in Science and Engineering: 1996. Arlington, VA: 1996, NSF 96-311.