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Statistiques descriptives×Unpaid Work Valuation×
DomaineStatistiqueGender Studies
FamilleHypothesis testProcess / pipeline
Année d'origine19772008
Auteur d'origineJohn W. TukeyFeminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)
TypeSummary procedureImputation-based monetary valuation of non-market work
Source fondatriceTukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165European Commission, IMF, OECD, United Nations, & World Bank (2009). System of National Accounts 2008. United Nations. ISBN: 9789211615227
Aliassummary statistics, exploratory data summary, Betimsel İstatistikHousehold Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Work
Apparentées64
RésuméDescriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure.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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ScholarGateComparer des méthodes: Descriptive Statistics · Unpaid Work Valuation. Consulté le 2026-06-25 sur https://scholargate.app/fr/compare