2008
DOI: 10.1016/j.ejor.2007.04.022
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Assessing gender and top-management-team pay in the S&P Mid-Cap and Small-Cap companies using data envelopment analysis

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Cited by 17 publications
(22 citation statements)
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“…Most studies that focus on wage disparity between male and female report that men earn significantly more than women, although some researchers argue that men and women receive similar compensation at management levels (Bowlin and Renne, 2008).…”
mentioning
confidence: 99%
“…Most studies that focus on wage disparity between male and female report that men earn significantly more than women, although some researchers argue that men and women receive similar compensation at management levels (Bowlin and Renne, 2008).…”
mentioning
confidence: 99%
“…Moreover, Bowlin and Renner (2008) argue that inequity is negligible at top management levels, though Adams, Gupta and Leeth (2009) and Ryan and Haslam (2009) emphasize that women experience considerable difficulty breaking into top positions. Still, the gender pay gap seems to persist in spite of anti-discrimination legislation and the closing of the educational gap between men and women.…”
Section: Introductionmentioning
confidence: 99%
“…Most papers that investigate the issue of wage disparity between genders have found that there is a gender pay gap, mainly driven by job segregation (i.e., women and men being attracted towards different kinds of occupations) and also by an uneven load of family and home responsibilities assumed by women (Babcock & Laschever, 2003;Blau & Kahn, 2007;Boushey, 2008;Bowlin & Renner, 2008;Cornelius & Skinner, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…This characteristic is especially useful in this study which allows for a combination of accounting line-items and ratios as input components and output components. Furthermore, there are no multi-co linearity problems with the DEA as there are with regression analysis, so variables that measure similar performance elements, for example gross profit and net profit, can be used simultaneously in the model (Bowlin & Renner, 2008). Another common practice in DEA is to allow the optimization programme to determine the weights for each variable included in the model; however, it is possible to restrict the weight of variables if management is concerned that a variable might be under-or over-represented (Avkiran, 1999).…”
Section: Introductionmentioning
confidence: 99%
“…If the analyst knows which efficient units are most comparable to the inefficient unit, they will develop a better understanding of the nature of the inefficiencies and can re-allocate scarce resources in order to improve productivity (Avkiran, 1999). It creates a frontier of the best performing units within the dataset (Bowlin & Renner, 2008), which consist of units that possess some common functional traits, but whose efficiency may vary due to internal differences (El-Mahgary & Lahdelma, 1995). Its main usefulness lies in its ability to identify units to benchmark against and to generate potential improvements for inefficient units (Avkiran, 1999).…”
Section: Introductionmentioning
confidence: 99%