Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Unpaid Work Valuation× | Aprakstošā statistika× | |
|---|---|---|
| Nozare≠ | Gender Studies | Statistika |
| Saime≠ | Process / pipeline | Hypothesis test |
| Izcelsmes gads≠ | 2008 | 1977 |
| Autors≠ | Feminist economists & national-accounts statisticians (Nancy Folbre; UN SNA) | John W. Tukey |
| Tips≠ | Imputation-based monetary valuation of non-market work | Summary procedure |
| Pirmavots≠ | European Commission, IMF, OECD, United Nations, & World Bank (2009). System of National Accounts 2008. United Nations. ISBN: 9789211615227 | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 |
| Citi nosaukumi | Household Production Valuation, Valuation of Unpaid Care Work, Imputed Value of Unpaid Work | summary statistics, exploratory data summary, Betimsel İstatistik |
| Saistītās≠ | 4 | 6 |
| Kopsavilkums≠ | 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. | 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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