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AuthorTitleCitationHypothesisMain FindingsSource DataMethod of analysisVariables usedUnit of analysisNotes/Connections to other articles
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Jong-Wha Lee & Dainn WieWage Structure and Gender Earnings Differentials in China and IndiaWorld Development, Vol. 97, 2017, pp. 313-329Changes in overall wage inequality and gender-specific factors (education, experience, discrimination, unobserved skills) explain the evolution of gender wage gaps in urban China and India during the 1990s-2000s.Gender wage gap widened in China but declined sharply in India. Women's rising qualifications helped reduce gaps in both countries, but in China discrimination, weaker attachment to labor markets, and unfavorable wage structure effects outweighed gains. In India, political empowerment and favorable wage structures helped narrow the gap.China: CHIPS datasets (1988, 1995, 2002, 2009), ~60k-80k urban individuals, 16+ provinces. India: NSS Employment & Unemployment surveys (1987-88, 1993-94, 1999-2000, 2005-06, 2009-10), >100k workers each wave.Decomposition analysis of gender wage gap (Juhn, Murphy, & Pierce 1991; Blau & Kahn 1997 methods). Human capital and full regression models with Oaxaca-style decomposition.Education, experience, occupation, industry, region, gender, wages (log), labor force participation, residual skill measures (observed & unobserved).Full-time urban workers aged 18-60.
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