Age-period-cohort analysis : : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land.

• Superior document: Chapman & Hall/CRC interdisciplinary statistics series
• VerfasserIn: Yang, Yang, 1975,
• TeilnehmendeR: Land, Kenneth C.
• Place / Publishing House: Boca Raton, Fla. : : CRC Press,, 2013.
• Year of Publication: 2013
• Edition: 1st edition
• Language: English
• Series: Interdisciplinary statistics.
• Physical Description: 1 online resource (339 p.)
• Notes: A Chapman & Hall book.

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (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. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables d

Table of Contents

1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion.