1999 International Symposium on Technology and Society - Women and Technology: Historical, Societal, and Professional Perspecti
DOI: 10.1109/istas.1999.787359
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Why is there a gap in the salaries of male and female engineers?

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Cited by 5 publications
(6 citation statements)
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“…Substantial differentials exist among chemists(Broyles, 2009), pharmacists (Carvajal et al, 2012, and medical researchers(Jagsi et al, 2012). Yet, when holding constant very detailed measures of experience and specialty (among other factors),Lal et al (1999) found a statistically significant but small gender gap in engineering in the United States-only 2 or 3 percentage points.…”
mentioning
confidence: 87%
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“…Substantial differentials exist among chemists(Broyles, 2009), pharmacists (Carvajal et al, 2012, and medical researchers(Jagsi et al, 2012). Yet, when holding constant very detailed measures of experience and specialty (among other factors),Lal et al (1999) found a statistically significant but small gender gap in engineering in the United States-only 2 or 3 percentage points.…”
mentioning
confidence: 87%
“…Yet, when holding constant very detailed measures of experience and specialty (among other factors), Lal et al. () found a statistically significant but small gender gap in engineering in the United States—only 2 or 3 percentage points.…”
mentioning
confidence: 99%
“…The chronic under representation of females in engineering is one of the major contributing factors [4][5] despite fact that gender discrimination in engineering wages has been almost eliminated, with women earning 97% of the wages earned by men [6]. To encourage more female students to pursue engineering studies, it is essential to eliminate misinformation and negative impressions about engineers and engineering [7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…These limitations also extend to demographic categorization and aggregation. Many of the studies on the STEM workforce, largely influenced by the pipeline model, tend to compare men in the aggregate with women in the aggregate, measure gender using male/female dichotomous sex categories, and rarely consider the experiences of women of color, let alone women from disaggregated racial and ethnic backgrounds with low numeric participation in STEM ( Lal et al ., 1999 ; NSF, 2004 ; Abriola and Davies, 2006 ; Metcalf, 2010 , 2011 , 2014 ). The SESTAT survey and data-set construction limits analytical possibilities by containing data on binary sex rather than gender or gender identity.…”
Section: Critical Theoretical Framework and Methodological Approachementioning
confidence: 99%