ScholarGate
Асистент

Порівняння методів

Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.

Описова статистика×Unpaid Work Valuation×
ГалузьСтатистикаGender Studies
РодинаHypothesis testProcess / pipeline
Рік появи19772008
Автор методуJohn W. TukeyFeminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)
ТипSummary procedureImputation-based monetary valuation of non-market work
Основоположне джерелоTukey, 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
Інші назвиsummary statistics, exploratory data summary, Betimsel İstatistikHousehold Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Work
Пов'язані64
ПідсумокDescriptive 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.
ScholarGateНабір даних
  1. v1
  2. 1 Джерела
  3. PUBLISHED
  1. v1
  2. 3 Джерела
  3. PUBLISHED

Перейти до пошуку Завантажити слайди

ScholarGateПорівняння методів: Descriptive Statistics · Unpaid Work Valuation. Отримано 2026-06-25 з https://scholargate.app/uk/compare