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Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data

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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.


Abstract: 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

Author(s): Robert M O'Brien
Series: Chapman & Hall/CRC Statistics in the Social & Behavioral
Publisher: CRC Press
Year: 2014

Language: English
Pages: xii, 204 pages: illustrations
City: Boca Raton, FL
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;