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Gender Gap Decomposition×Unpaid Work Valuation×
ΠεδίοGender StudiesGender Studies
ΟικογένειαRegression modelProcess / pipeline
Έτος προέλευσης19732008
ΔημιουργόςRonald Oaxaca & Alan BlinderFeminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)
ΤύποςRegression-based decomposition of a mean group differenceImputation-based monetary valuation of non-market work
Θεμελιώδης πηγήOaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709. DOI ↗European Commission, IMF, OECD, United Nations, & World Bank (2009). System of National Accounts 2008. United Nations. ISBN: 9789211615227
Εναλλακτικές ονομασίεςOaxaca-Blinder Decomposition, Blinder-Oaxaca Decomposition, Wage Gap DecompositionHousehold Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Work
Συναφείς34
ΣύνοψηGender gap decomposition, most often implemented as the Oaxaca-Blinder decomposition, splits the mean difference in an outcome such as wages between men and women into a part explained by differences in measured characteristics (education, experience, occupation) and an unexplained residual part attributed to differences in how those characteristics are rewarded. Introduced independently by Ronald Oaxaca and Alan Blinder in 1973, it is the workhorse method for quantifying how much of the gender pay gap reflects composition versus differential treatment.Unpaid work valuation assigns a monetary value to the household and care work — cooking, cleaning, childcare, eldercare — that falls outside the market and is therefore excluded from gross domestic product. By multiplying measured hours of unpaid work by an imputed wage, it makes the economic contribution of this overwhelmingly female-performed labor visible, typically reported in national-accounts satellite accounts as recommended by the System of National Accounts.
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ScholarGateΣύγκριση μεθόδων: Gender Gap Decomposition · Unpaid Work Valuation. Ανακτήθηκε στις 2026-06-25 από https://scholargate.app/el/compare