A systems model for the population renewal process
Bibliographic Data
| ID | 10969005 |
|---|---|
| Authors | John Bongaarts (0000-0001-6195-7234, University of Chicago Medical Center, corresponding author), John P Bongaarts (Biomedical Engineering Program, Physiology Department, University of Illinois at the Medical Center, Chicago, Illinois 60680), William D O'Neill (Systems Engineering Department, University of Illinois Chicago Circle Campus, Chicago, Illinois 60680), William D O’Neill (University of Illinois Chicago) |
| Year | 1972 |
| Volume | 9 |
| Issue | 2 |
| Pages | 309-320 |
| Publication date | 1972-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demography (JOURNAL) |
| Journal identifiers | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Publisher | Duke University Press (PUBLISHER • US) |
| DOI | 10.2307/2060642 |
| OpenAlex | W2075642162 |
| Language | EN |
| Citations received | 1 |
| References cited | 5 |
A synthetic cohort of women is followed from birth through childbearing age. The transition from parity i to parity i + 1 is quantitatively described utilizing systems analysis theory. This description results in a parametrization of the renewal process in which the net maternity function is completely determined by five parameters: maturation time, 0th parity time constant, survival fraction to 0th parity, average child spacing time, and parity progression ratio. To detect trends in these parameters, estimates are made of them for the U. S. A. population from 1950 to 1965
Econometrics · Net migration rate · Parity (physics · Physics · Population · Population growth · Sociology · Statistics · demographic modeling and climate adaptation · Demography · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Mathematics
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,02 |
| Citation span | 1974 - 1974 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |