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Kinship and Demographic Behavior in the Past

This book examines the role of kinship and the family’s influence on the health outcomes of their children, their children’s selection of marriage partners, couples having higher order births or reduced fertility, individual migration and origins of populations. Mortality patterns are examined to determine the influence of fertility patterns on parents’ mortality, the contribution of parents’ longevity to their children’s lifespan, and the whether a family history of disease affects the risk of dying from that same disease.This volume emphasizes the importance of studies that include and compare other factors related to social organization with information on multi-generational families. The authors elucidate previous explanations and provide provocative new results. Such intergenerational research is crucial in understanding long term demographic trends and processes.

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Applied Mathematical Demography

it focus on applications of demographic models, while extending its scope to matrix models for stage-classified populations.first introduce the life table to describe age-specific mortality, and then use it to develop theory for stable populations and the rate of population increase. This theory is then revisited in the context of matrix models, for stage-classified as well as age-classified populations. Reproductive value and the stable equivalent population are introduced in both contexts, and Markov chain methods are presented to describe the movement of individuals through the life cycle. Applications of mathematical demography to population projection and forecasting, kinship, microdemography, heterogeneity, and multi-state models are considered.

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