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Unpaid Work Valuation×Statistiques descriptives×
DomaineGender StudiesStatistique
FamilleProcess / pipelineHypothesis test
Année d'origine20081977
Auteur d'origineFeminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)John W. Tukey
TypeImputation-based monetary valuation of non-market workSummary procedure
Source fondatriceEuropean Commission, IMF, OECD, United Nations, & World Bank (2009). System of National Accounts 2008. United Nations. ISBN: 9789211615227Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165
AliasHousehold Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Worksummary statistics, exploratory data summary, Betimsel İstatistik
Apparentées46
RésuméUnpaid 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.Descriptive 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.
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ScholarGateComparer des méthodes: Unpaid Work Valuation · Descriptive Statistics. Consulté le 2026-06-24 sur https://scholargate.app/fr/compare