A survey of social, economic, and demographic causes for changes in rural fertility in Xianyang.
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"This paper investigates the effect of female education on fertility in Bangladesh...through three proximate determinants of fertility: marriage, postpartum non-susceptibility to conception, and contraception.... The analysis found that a small amount of education tends to increase fertility.... The effect of education on proximate determinants shows that it is positive for postpartum non-susceptibility to conception, [while] in contrast it is negative for marriage and contraception. Therefore, [the] contribution of the duration of postpartum non-susceptibility is stronger for less educated women, while marriage and contraception have important effects when education is high at the individual level."
"The objective of this paper is to discuss the role that three of the proximate determinants of fertility (marriage, contraception and post-partum insusceptibility) have played in fertility change in Latin America and the Caribbean. First we look at issues of data availability and comparability on measures of the proximate determinants from retrospective surveys. Most of the data utilized come from the World Fertility Survey (WFS) and the Demographic and Health Surveys (DHS) projects. Second, we present results from the most widely applied model for assessing the impact that these proximate determinants have on fertility, that of Bongaarts....Finally, we compare the results from the application of the Bongaarts model with those from an alternative method proposed by Moreno. Both models show that increased use of contraception is by far the most important reason for fertility decline, with marriage and post-partum insusceptibility making much smaller contributions. However, the second model suggests that the role of the marriage and post-partum insusceptibility factors is much smaller than is shown by the Bongaarts model." (SUMMARY IN ENG)
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"A variety of time-series approaches to the analysis of fertility are considered. Attention is concentrated on published official data [for the United Kingdom], although alternative approaches such as more sophisticated period measures and cohort indicators are also discussed. The advantages of a period perspective are emphasized. A proximate determinants approach to the analysis of fertility is advocated."
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A general framework for the analysis of the complex determinants of infant and child mortality in developing countries is presented. "This framework distinguishes five types of variables: the discriminatory, independent, intermediate, determinant and dependent variables which correspond to the different levels of analysis and explanation. A non exhaustive presentation is made of the variables involved in each group and of their main relations. Finally, the main effects of the determinants analysed in [selected] case studies concerning the developing countries...are discussed on the basis of the suggested framework of analysis." The case studies are published in Cahiers ORSTOM: Serie Sciences Humaines, Vol. 20, No. 2, 1984. (summary in ENG, SPA)
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