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

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

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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 p...

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Bibliographic Details
Main Author: Yang, Yang (auth)
Other Authors: Land, Kenneth C. (auth)
Format: Book Chapter
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:Get Fullteks
DOAB: description of the publication
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Description
Summary: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.
Physical Description:1 electronic resource (352 p.)
ISBN:b13902
Access:Open Access

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