Publication Date:
2019
abstract:
Little work has been done on directly estimating differences in pay gaps. Studies that
estimate pay differentials generally compare them across different sub-samples or rely on
decompositions that are based on the assumption of independent errors across samples.
Both methods contain serious drawbacks that we overcome by proposing an extension of the
Oaxaca-Blinder decomposition. Our proposed method overcomes both the index number
and the indeterminacy problem of standard Oaxaca-Blinder decompositions. In addition,
like the standard decomposition, our proposed approach can be extended beyond the mean
by using linear unconditional quantile regressions and can be decomposed in detail. We
present two empirical applications to illustrate the methodology.
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Castagnetti, Carolina; Rosti, Luisa; Toepfer, Marina
Book title:
Assessing Changes in Wage Gaps: A New Approach
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