ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Unpaid Work Valuation×Takwimu Elekezi×
NyanjaGender StudiesTakwimu
FamiliaProcess / pipelineHypothesis test
Mwaka wa asili20081977
MwanzilishiFeminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)John W. Tukey
AinaImputation-based monetary valuation of non-market workSummary procedure
Chanzo asiliaEuropean 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
Majina mbadalaHousehold Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Worksummary statistics, exploratory data summary, Betimsel İstatistik
Zinazohusiana46
MuhtasariUnpaid 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.
ScholarGateSeti ya data
  1. v1
  2. 3 Vyanzo
  3. PUBLISHED
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Unpaid Work Valuation · Descriptive Statistics. Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/compare