Titlebook: Causal Analysis in Population Studies; Concepts, Methods, A Henriette Engelhardt,Hans-Peter Kohler,Alexia Fürn Book 2009 Springer Science+B

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Book 2009, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard approach to infer the ‘effects of

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Causal Analysis in Population Studies,lying 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).

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Causation as a Generative Process. The Elaboration of an Idea for the Social Sciences and an Applicurther developed. This idea seems to be particularly valuable for modern social sciences because it leads to a longitudinal analysis of social processes and can easily be combined with a narrative in terms of an actor’s objectives, knowledge, reasoning, and decisions (methodological individualism).

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Issues in the Estimation of Causal Effects in Population Research, with an Application to the Effecf demographic trends, estimation of vital rates, life table construction, investigation into causes of historical population developments, and many others. However, one branch of population research that has seen increasing interest has been in the area of social demography, where the determinants o

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Sequential Potential Outcome Models to Analyze the Effects of Fertility on Labor Market Outcomes,ets are available the dynamic potential outcome model is an interesting modeling framework because it allows the careful consideration of the selection issues coming from the interaction of fertility and labor market decisions at different ages. It allows explicitly considering their dependence on t

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Structural Modelling, Exogeneity, and Causality,usal perspective is less obvious in social science research, perhaps because it is apparently harder to glean general laws in the social sciences than in other sciences, due the probabilistic character of human behaviour. Thus the search for causes in the social sciences is often perceived to be a v