Please use this identifier to cite or link to this item: 192.168.6.56/handle/123456789/55684
Title: Causal Analysis in Population Studies
Authors: Engelhardt, Henriette
KENNETH C. LAND Hans-Peter Kohler Alexia Prskawetz
Keywords: Causal Analysis
Issue Date: 2009
Publisher: Springer
Description: An important hallmark of empirical research in population studies and demography has traditionally been a focus on careful description of population trends and changes using representative micro- or large-scale macro-data. For example, much effort has been devoted to describing the trends and variations in the core demographic processes – fertility, mortality and migration – and how the size and structure of a population are affected by these underlying processes. A core aspect of demographic methods therefore has been on the construction of vital rates, life-course measures of the tempo and quantum of demographic events, life table analysis and its extension to multi-state processes, and the decomposition of population differences in terms of rates and proportions (Vaupel 2001). Building on the methods and insights of these descriptive analyses, demographers have also developed sophisticated means for population projections (e.g. Lutz et al. 1999) and for investigating the relationships between mortality, fertility and migration in stable populations (e.g. Preston et al. 2001). In recent years, however, the field of population studies has grown increasingly diverse. While maintaining its traditional focus on formal demography (e.g. Feichtinger 1979), the discipline has strengthened its connections to other fields of science. As a result, demographers are increasingly adopting theories, concepts, and methods from sociology, economics, biology, medicine, anthropology, ecology, agriculture, geography, as well as mathematics, statistics, and econometrics, and demographic research increasingly addresses topics or questions that used to be within the domain of other disciplines.
URI: http://10.6.20.12:80/handle/123456789/55684
ISBN: 978-1-4020-9967-0
Appears in Collections:Population Studies

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