Age-period-cohort models approaches and analyses with aggregate data

Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort chara...

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Bibliographic Details
Main Author: O'Brien, Robert M. (Author)
Format: Book
Language:English
Published: Boca Raton, Florida CRC Press 2015
Series:Statistics in the social and behavioral sciences series
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Online Access:Click Here to View Status and Holdings.
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504 # # |a Includes bibliographical references and index 
520 # # |a Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects 
650 # 0 |a Cohort analysis 
650 # 0 |a Age groups  |x Statistical models 
830 # 0 |a Statistics in the social and behavioral sciences series 
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