Abortion and family building models
Fertility limitation in Hungary
Bibliographic Data
| ID | 10968448 |
|---|---|
| Authors | Kathleen Ford (0000-0003-0822-6779, National Center for Health Statistics, corresponding author) |
| Year | 1976 |
| Volume | 13 |
| Issue | 4 |
| Pages | 495-505 |
| Publication date | 1976-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demography (JOURNAL) |
| Journal identifiers | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Publisher | Duke University Press (PUBLISHER • US) |
| DOI | 10.2307/2060505 |
| PMID | 992172 |
| OpenAlex | W1983397598 |
| Language | EN |
| References cited | 13 |
This paper demonstrates how family-building models can be used for checking the quality of abortion data. A family-building model, called FERMODA, is presented and used to check whether the available data on abortion for Hungary are consistent with Hungarian data on other aspects of family building. Model cohorts are generated, using in FERMODA the proportions of women married and the birth and abortion rates of two selected Hungarian cohorts. The estimates obtained from the simulated cohorts concerning use of contraception are compared with the information available on contraception, and, on the basis of this comparison, a judgment is made about the quality of abortion data for Hungary
Abortion · Biology · Demographic economics · Economics · Family planning · Fertility · Geography · Population · Pregnancy · Research methodology · Sociology · Demography · Insurance, Mortality, Demography, Risk Management
A computer model of family building based on expected values
An exponential model of female sterility
Competition Between Spontaneous and Induced Abortion
Fertility Rates and Abortion Rates
Pregnancy outcome and the time required for next conception
Age patterns of marriage
Family Planning and Fecundity
An analytic simulation model of human reproduction with demographic and biological components
La reproduction humaine en régime malthusien. Un modèle de simulation par la méthode de Monte-Carlo
| Highly cited | No |
|---|