Bandingkan metode

	Time-Use Analysis	Statistik Deskriptif	Unpaid Work Valuation
Bidang	Gender Studies	Statistika	Gender Studies
Keluarga	Process / pipeline	Hypothesis test	Process / pipeline
Tahun asal	1991	1977	2008
Pencetus	Time-use survey methodologists (F. Thomas Juster; Jonathan Gershuny)	John W. Tukey	Feminist economists & national-accounts statisticians (Nancy Folbre; UN SNA)
Tipe	Diary-based measurement and analysis of activity time allocation	Summary procedure	Imputation-based monetary valuation of non-market work
Sumber perintis	Juster, F. T., & Stafford, F. P. (1991). The allocation of time: Empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature, 29(2), 471–522.	Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165	European Commission, IMF, OECD, United Nations, & World Bank (2009). System of National Accounts 2008. United Nations. ISBN: 9789211615227
Alias	Time Use Survey Analysis, Time Diary Analysis, Time Allocation Analysis	summary statistics, exploratory data summary, Betimsel İstatistik	Household Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Work
Terkait	3	6	4
Ringkasan	Time-use analysis measures how people allocate their time across activities — paid work, unpaid domestic and care work, leisure, sleep, and more — typically using detailed daily diaries collected through time-use surveys. It is the foundational method for making visible the unpaid and care work that gross domestic product ignores, and it is central to gender studies because it quantifies the unequal division of household labor between women and men.	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.	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.