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| Bongaarts Proximate Determinants× | Total Fertility Rate× | |
|---|---|---|
| Nozare | Demogrāfija | Demogrāfija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1978 | 2001 |
| Autors≠ | John Bongaarts | Classical demographic index (formalized by Preston, Heuveline & Guillot) |
| Tips≠ | Multiplicative decomposition of fertility into behavioural and biological factors | Period summary fertility index synthesizing age-specific fertility rates |
| Pirmavots≠ | Bongaarts, J. (1978). A framework for analyzing the proximate determinants of fertility. Population and Development Review, 4(1), 105–132. link ↗ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 |
| Citi nosaukumi | Proximate determinants framework, Bongaarts fertility-inhibiting indices, Cm Cc Ca Ci model, Yakın Belirleyiciler Çerçevesi | TFR, Period total fertility rate, Sum of age-specific fertility rates, Toplam Doğurganlık Hızı |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | The Bongaarts framework of the proximate determinants of fertility decomposes a population's fertility into a biological maximum reduced by a small set of directly fertility-inhibiting factors: the proportion of women in sexual unions, contraceptive use, induced abortion, and postpartum infecundability. By expressing observed fertility as total fecundity multiplied by four indices between zero and one, it quantifies how much each behavioural and biological channel suppresses fertility below its potential ceiling. | The total fertility rate (TFR) is the central period measure of fertility in demography: the average number of children a woman would bear over her lifetime if she experienced, at each age, the age-specific fertility rates observed in a given year. Computed by summing age-specific fertility rates across the reproductive ages, the TFR removes the influence of population age structure and gives a single, intuitive figure — children per woman — that is comparable across populations and over time. |
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