Age-Period-Cohort Models

This book 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 approa

Develop a Deep Understanding of the Statistical Issues of APC Analysis

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.

See How Common Methods Are Related to Each Other

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.

Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables

This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.

"This is an excellent book on ageperiodcohort (APC) models for the analysis of data from demography and related fields. an excellent work with wonderful resources on APC models. It will be very useful to research scholars looking for several advanced APC approaches. The book effectively presents the strengths and weaknesses of various statistical methods of APC analysis, which should lead to advanced future research and better interpretation of existing research."International Statistical Review, 2015

Autorentext

Robert M. O'Brien is a seasoned Data & AI Associate Director with an esteemed career in a large consulting firm in the Houston area, Texas. Drawing from his extensive expertise in technology, Robert has published numerous studies and documents that have made significant contributions to the field of IT Consulting and Advanced Analytics. A man of diverse talents, who has traveled the world, he has also ventured into the realm of literature with his self-published book, "We Were Boys," a unique collection that captures real events of teenage boys through the lens of imagination. Robert aspires to devote his time to full-time writing and his current projects, weaving more intricate narratives and engaging tales that resonate with readers and expand his literary repertoire and further explore the realms of historical fiction, dystopian narratives, and beyond.

Inhalt

Introduction to the Age, Period, and Cohort Mix. Multiple Classification Models and Constrained Regression. Geometry of APC Models and Constrained Estimation. Estimable Functions Approach. Partitioning the Variance in APC Models. Factor-Characteristic Approach. Conclusions: An Empirical Example. Index.