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Causal Analysis in Population Studies, Henriette Engelhardt; Hans-Peter Kohler; Alexia F?


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Автор: Henriette Engelhardt; Hans-Peter Kohler; Alexia F?
Название:  Causal Analysis in Population Studies
ISBN: 9789048182329
Издательство: Springer
Классификация:




ISBN-10: 9048182328
Обложка/Формат: Paperback
Страницы: 260
Вес: 0.37 кг.
Дата издания: 2009
Серия: The Springer Series on Demographic Methods and Population Analysis
Язык: English
Издание: Softcover reprint of
Иллюстрации: Biography
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Подзаголовок: Concepts, methods, applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others.This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference.


Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Agent-Based Modelling in Population Studies

Автор: Grow
Название: Agent-Based Modelling in Population Studies
ISBN: 3319322818 ISBN-13(EAN): 9783319322810
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly.Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories.In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours.Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.

Studies in Population

Автор: Mair, Mair George F.
Название: Studies in Population
ISBN: 0691627479 ISBN-13(EAN): 9780691627472
Издательство: Wiley
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Цена: 4752.00 р.
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Описание:

A wide range of expert opinion on current demographic problems is presented in this book, based on the proceedings of the 1949 meeting of the Population Association of America. The contributors are: S.L. Wolfbein, P.H. Jacobson, C. Tietze, I. Taeuber, J.C. Russell, W.J. Gibbons, S.J. K. Davis, R. Bradfield, J.D. Black, G. Clapp, R. Eckler, T.J. Woffter, C. F. Schmid, H. C. Taylor, C. Senior, I. DeA. Reid, W.H. Grabill, R. Freedman, M. Woodside. Discussions include total marital dissolutions in the United States, illegal abortions, proposals for modifying the net reproduction rate, population and scarce food resources, and what is probably the most complete statement available on the relation of the Catholic value system to human fertility.

Originally published in 1949.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Causality and Causal Modelling in the Social Sciences

Автор: Federica Russo
Название: Causality and Causal Modelling in the Social Sciences
ISBN: 9048179963 ISBN-13(EAN): 9789048179961
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This investigation into causal modelling presents the rationale of causality; i.e. what guides reasoning in causal modeling. In contrast to the dominant paradigm, it argues that causal models are governed by a variation, rather than regularity or invariance.

Case Studies and Causal Inference

Автор: Rohlfing
Название: Case Studies and Causal Inference
ISBN: 0230240704 ISBN-13(EAN): 9780230240704
Издательство: Springer
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Цена: 11878.00 р.
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Описание: A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.

Methods Matter: Improving Causal Inference in Educational and Social Science Research

Автор: Murnane Richard J., Willett John B.
Название: Methods Matter: Improving Causal Inference in Educational and Social Science Research
ISBN: 0199753865 ISBN-13(EAN): 9780199753864
Издательство: Oxford Academ
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Цена: 14414.00 р.
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Описание: Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science. Features: * Includes numerous useful examples of high-quality studies * Helps readers produce better educational research * A clear and concise guide for evaluating causal impacts of educational interventions

Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.

Автор: Stephen L. Morgan, Christopher Winship
Название: Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.
ISBN: 1107065070 ISBN-13(EAN): 9781107065079
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.


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