Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Gender Inequality Index× | Analiza tablic trwania życia× | |
|---|---|---|
| Dziedzina≠ | Gender Studies | Demografia |
| Rodzina≠ | Process / pipeline | Survival analysis |
| Rok powstania≠ | 2010 | 1984 |
| Twórca≠ | UNDP Human Development Report Office (Gaye, Klugman et al.) | Demographic/actuarial tradition; Chiang |
| Typ≠ | Composite inequality index | Age-structured mortality estimator |
| Źródło pierwotne≠ | Gaye, A., Klugman, J., Kovacevic, M., Twigg, S., & Zambrano, E. (2010). Measuring key disparities in human development: The Gender Inequality Index. Human Development Research Paper 2010/46. UNDP Human Development Report Office. link ↗ | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 |
| Inne nazwy≠ | GII, UNDP Gender Inequality Index | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu |
| Pokrewne≠ | 4 | 3 |
| Podsumowanie≠ | The Gender Inequality Index (GII) is a composite measure introduced by the UNDP in the 2010 Human Development Report to capture the loss in potential human development due to inequality between women and men. It combines three dimensions — reproductive health, empowerment, and labour-market participation — into a single index ranging from 0 (perfect equality) to 1 (complete inequality), using an association-sensitive aggregation that penalises both gaps between the sexes and inequality across dimensions. | A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike. |
| ScholarGateZbiór danych ↗ |
|
|