Perspectives in stochastic models of human reproduction: A review and analysis

Mode, Charles J.

doi:10.1016/0040-5809(75)90045-3

Cited by 21 publications

(1 citation statement)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the past several decades, quite extensive research has been done on modelling human reproductive process through the use of stochastic models. Sheps and Menken (1973) and Mode (1975) present a detailed and comprehensive discussion of various reproductive models. More recent research on further developing such kind of models was done by Mode and Littman (1975), Nour and Wegman (1978), and ElShalakani and Pandey (1989).…”

Section: Introductionmentioning

confidence: 99%

A model of the age patterns of births by parity in natural fertility populations

Zhu

1994

Mathematical Population Studies

View full text Add to dashboard Cite

This research develops a convolution model to express the age patterns of fertility at each birth order in natural fertility populations in terms of six parameters, directly representing the proximate determinants of fertility, and a series of parity level indicators. The parity level indicators at each birth order are simply the proportions of women in a cohort who will eventually have births at each birth order it the age-related fecundity decline is controlled. The Coale-McNeil nuptiality model is adopted to represent the age pattern of first marriage rates and the natural fertility schedule employed in the Coale-Trussell fertility model is incorporated to adjust age effects. The fast Fourier transform is used in solving the model numerically. It proves that the model is able to provide excellent fits to fertility for rural Chinese women in the 1950s.KEY WORDS: Convolution, the fast Fourier transform, natural fertility, age-order-specific birth rates, the proximate determinants of fertility, the Coale-McNeil nuptiality model. Submitted by C. M. Suchindran.

show abstract

Section: Introductionmentioning

confidence: 99%