Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is a comprehensive book that synthesizes APC models and methods for three research designs, including age-by-time period tables, repeated cross-section sample surveys, and accelerated longitudinal panel studies. It introduces the GLMM framework to tackle the model identification problem and addresses the criticism against APC analysis. The book explores how statistical models, methods, and research designs can be used to uncover mechanisms underlying age patterns and temporal trends, with empirical illustrations from various disciplines. Software and programs to estimate the models are available on the book's web page.

Format: Paperback / softback
Length: 352 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is a comprehensive and groundbreaking work that delves into the realm of age-period-cohort (APC) analysis, drawing upon a decade of collaborative research by the authors. Within a unified framework of HAPC-GLMM statistical modeling, the authors present a synthesis of APC models and methods tailored for three distinct research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. Through meticulous empirical application of these models to diverse problems, the authors unveil a wealth of fascinating findings that shed light on the development of outcome variables across age, period, and cohort dimensions.

This book makes two fundamental contributions to quantitative studies of time-related change. Firstly, by introducing the GLMM framework, it showcases how innovative estimation methods and new model specifications can be employed to address the challenges encountered in model identification, a critical impediment to the development and empirical application of APC analysis. Secondly, the book addresses the major criticism against APC analysis by demonstrating how new models within the GLMM framework can be utilized to uncover the underlying mechanisms driving age patterns and temporal trends.

Encompassing a blend of methodological expositions and empirical studies, this book explores the vast potential of statistical models, methods, and research designs in APC analysis. It provides a comparative analysis of new and existing models, highlighting their strengths and limitations, and offers practical guidelines for conducting APC analysis. The text incorporates examples from various disciplines, including sociology, demography, and epidemiology, to illustrate the practical applications of APC analysis. Additionally, the book provides access to software and programs that facilitate the estimation of the models, further enhancing the accessibility and utility of this research tool.

In summary, Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is a seminal work that revolutionizes our understanding of time-related change. By presenting a comprehensive and integrated framework for APC analysis, the authors pave the way for new insights and discoveries in a wide range of fields. This book is a must-read for researchers, scholars, and practitioners interested in exploring the complexities of age, period, and cohort dynamics and their implications for public health, social sciences, and other social sciences.

Weight: 650g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032477503