Systematic and chance components in fertility measurement
- 1 November 1974
- journal article
- research article
- Published by Taylor & Francis in Population Studies
- Vol. 28 (3) , 473-493
- https://doi.org/10.1080/00324728.1974.10405194
Abstract
A Monte Carlo simulation model of fertility is developed to incorporate a decline in fecundability with age of women as well as a variation between women, and a family planning strategy in which couples prefer certain sizes of families and seek to lengthen the last planned birth interval. In the simulation of family planning and non-family planning populations, segmental parity tables are computed. These are tables in which the numbers of women in the columns representing the completed family sizes are sub-divided by rows representing the sizes of the families for shorter durations of marriage. The couples' success in their plans, under various conditions, and the rapidity with which family sizes stabilize, are among the results obtained from the simulation. The application of the tables to the estimation of family size preferences from observed family size distributions is also discussed.Keywords
This publication has 12 references indexed in Scilit:
- Postamenorrheic versus postpartum strategies of contraceptionDemography, 1973
- The Time Response in Averted BirthsPopulation Studies, 1972
- A Monte Carlo model for the study of human fertility under varying fecundabilitySocial Biology, 1971
- Use of a fertility simulation model to refine measurement techniquesDemography, 1971
- Fecundability and its Relation to Age in a Sample of Taiwanese WomenPopulation Studies, 1969
- La reproduction humaine en regime malthusien. Un modele de simulation par la methode de Monte-CarloPopulation, 1967
- An Analytic Simulation Model of Human Reproduction with Demographic and Biological ComponentsPopulation Studies, 1966
- Contraceptive Effectiveness as a Function of Desired Family SizePopulation Studies, 1962
- A Critique of the Glass-Grebenik Model for Indirectly Estimating Desired Family SizePopulation Studies, 1956