Age-Period-Cohort Analysis: New Models, Methods, and Empirical ApplicationsThis 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. |
Contents
| 1 | |
| 7 | |
3 APC Analysis of Data from Three Common Research Designs | 15 |
4 Formalities of the AgePeriodCohort Analysis Conundrum and a Generalized Linear Mixed Models GLMM Framework | 55 |
Model Identification and Estimation Using the Intrinsic Estimator | 75 |
Empirical Applications | 125 |
Hierarchical APCCrossClassified Random Effects Models HAPCCCREM Part I The Basics | 191 |
Hierarchical APCCrossClassified Random Effects Models HAPCCCREM Part II Advanced Analyses | 231 |
Hierarchical APCGrowth Curve Analysis of Prospective Cohort Data | 285 |
10 Directions for Future Research and Conclusion | 313 |
Index | 323 |
Other editions - View all
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications Yang Yang,Kenneth C. Land No preview available - 2023 |
Common terms and phrases
addition Age Effect American APC analysis APC models application approach birth cohort Black female Black male cancer incidence cancer mortality CGLIM changes Chapter cohort and period cohort effects components constraint continued course covariates declines decreased differences disparities distributed effect coefficients empirical Equation errors estimates examine example factors Figure findings fixed effects function gaps groups HAPC happiness identification incidence and mortality increases indicated individual intercept Journal linear lung cancer male matrix mean methods mixed mortality rates obesity observed outcome parameter patterns period and cohort period effects population predicted problem produce race random effects recent regression respondents Review sample score sex and race showed shown significant smoking social Sociological specific statistical studies substantive suggest survey Table tion trajectories trends values variables variance variations vector verbal White female