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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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发表于 2025-3-21 17:34:25 | 显示全部楼层 |阅读模式
书目名称Causal Analysis in Population Studies
副标题Concepts, Methods, A
编辑Henriette Engelhardt,Hans-Peter Kohler,Alexia Fürn
视频video
概述Estimation of causal relationships based on non-experimental data in population studies.Comprehensive discussion of available techniques.Contributions by the leading scholars in the field
丛书名称The Springer Series on Demographic Methods and Population Analysis
图书封面Titlebook: Causal Analysis in Population Studies; Concepts, Methods, A Henriette Engelhardt,Hans-Peter Kohler,Alexia Fürn Book 2009 Springer Science+B
描述.The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, 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 causes’ in natural sciences and in psychology is to conduct randomized experiments. In population studies, experimental designs are generally infeasible...In population studies, most research is based on non-experimental designs (observational or survey designs) and rarely on quasi experiments or natural experiments. Using non-experimental designs to infer causal relationships—i.e. relationships that can ultimately inform policies or interventions—is a complex undertaking. Specifically, treatment effects can be inferred from non-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual had rece
出版日期Book 2009
关键词Causal Analysis; Causal effects; Counterfactual Approach; Demographic Processes; Demography; Econometrics
版次1
doihttps://doi.org/10.1007/978-1-4020-9967-0
isbn_softcover978-90-481-8232-9
isbn_ebook978-1-4020-9967-0Series ISSN 1877-2560 Series E-ISSN 2215-1990
issn_series 1877-2560
copyrightSpringer Science+Business Media B.V. 2009
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发表于 2025-3-21 21:14:25 | 显示全部楼层
Henriette Engelhardt,Hans-Peter Kohler,Alexia FürnEstimation of causal relationships based on non-experimental data in population studies.Comprehensive discussion of available techniques.Contributions by the leading scholars in the field
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The Springer Series on Demographic Methods and Population Analysishttp://image.papertrans.cn/c/image/222614.jpg
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Assessing the Causal Effect of Childbearing on Household Income in Albania,The relationship between demographic developments and economic performance has been the subject of rather intense debate in the economics literature for nearly two centuries.
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Leistenhernienreparation nach Bassinirends 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 under
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