2015
DOI: 10.1007/s13524-015-0418-x
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Gender Wage Gap Accounting: The Role of Selection Bias

Abstract: Mulligan and Rubinstein (2008) (MR) argued that changing selection of working females on unobservable characteristics, from negative in the 1970s to positive in the 1990s, accounted for nearly the entire closing of the gender wage gap. We argue that their female wage equation estimates are inconsistent. Correcting this error substantially weakens the role of the rising selection bias (39 % versus 78 %) and strengthens the contribution of declining discrimination (42 % versus 7 %). Our findings resonate better … Show more

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Cited by 13 publications
(18 citation statements)
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“…The choice of instrument follows the previous literature, and has the advantage of making this study directly comparable to the others that have relied on this same instrument (Bar et al, 2015;Heckman, 1974;Mulligan & Rubinstein, 2008). The choice of instrument follows the previous literature, and has the advantage of making this study directly comparable to the others that have relied on this same instrument (Bar et al, 2015;Heckman, 1974;Mulligan & Rubinstein, 2008).…”
Section: Estimationmentioning
confidence: 89%
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“…The choice of instrument follows the previous literature, and has the advantage of making this study directly comparable to the others that have relied on this same instrument (Bar et al, 2015;Heckman, 1974;Mulligan & Rubinstein, 2008). The choice of instrument follows the previous literature, and has the advantage of making this study directly comparable to the others that have relied on this same instrument (Bar et al, 2015;Heckman, 1974;Mulligan & Rubinstein, 2008).…”
Section: Estimationmentioning
confidence: 89%
“…Vella, 1998). In particular, Bar et al (2015) show that a generalized version of the standard selection model uncovers a much smaller role of selection bias than what was documented by Mulligan and Rubinstein (2008). Mulligan and Rubinstein (2008) rely on a parametric correction method for measuring the gender wage gap in the USA, even though extensive literature has demonstrated the sensitivity of selection models to several of their modeling assumptions.…”
Section: Existing Approaches and Related Literaturementioning
confidence: 91%
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