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

• Main Author: Yang, Yang (auth)
• Other Authors: Land, Kenneth C. (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: Taylor & Francis 2013
• Subjects: Probability & statistics; Psychological Methods and Statistics; Statistics for the Biological Sciences; Statistical Theory and Methods; STATS; SCI-TECH; STM; birth; cohorts; effect; effects; generalized; identification; linear; mixed; model; problem
• Online Access: DOAB: download the publication; DOAB: description of the publication

This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.