The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines

C-Tier
Journal: Applied Economics
Year: 2004
Volume: 36
Issue: 9
Pages: 1001-1007

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Quantile regressions are used to analyse the size, components, and nature of the gender-earnings differentials as well as the returns to education by gender in the Philippines, over the entire conditional distribution of earnings, using data from the 1999 APIS survey. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.

Technical Details

RePEc Handle
repec:taf:applec:v:36:y:2004:i:9:p:1001-1007
Journal Field
General
Author Count
1
Added to Database
2026-01-29