Yang Yang, Kenneth C. Land

Age-Period-Cohort Analysis (eBook, PDF)

New Models, Methods, and Empirical Applications

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 352
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781466507531
• Artikelnr.: 40067124

Autorenporträt

Yang Yang is an associate professor in the Department of Sociology and Lineberger Comprehensive Cancer Center and a faculty fellow in the Carolina Population Center at the University of North Carolina-Chapel Hill. Dr. Yang's research encompasses the areas of demography, medical sociology, cancer, and quantitative methodology. Her work has been featured in numerous media outlets, including the American Sociological Review, CNN, Associated Press, Reuters, Washington Post, and Chicago Tribune. She received a Ph.D. in sociology from Duke University.

Kenneth C. Land is a John Franklin Crowell professor of sociology and faculty director of the Center for Population Health and Aging at Duke University. Dr. Land is a fellow of the American Statistical Association, the Sociological Research Association, the American Association for the Advancement of Science, the International Society for Quality-of-Life Studies, and the American Society of Criminology. His research focuses on contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes. He received a Ph.D. in sociology and mathematics from the University of Texas at Austin.

Inhaltsangabe

Introduction. Why Cohort Analysis? APC Analysis of Data from Three Common
Research Designs. Formalities of the Age-Period-Cohort Analysis Conundrum
and a Generalized Linear Mixed Models (GLMM) Framework. APC
Accounting/Multiple Classification Model, Part I: Model Identification and
Estimation Using the Intrinsic Estimator. APC Accounting/Multiple
Classification Model, Part II: Empirical Applications. Mixed Effects
Models: Hierarchical APC-Cross-Classified Random Effects Models
(HAPC-CCREM), Part I: The Basics. Mixed Effects Models: Hierarchical
APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part II: Advanced
Analyses. Mixed Effects Models: Hierarchical APC-Growth Curve Analysis of
Prospective Cohort Data. Directions for Future Research and Conclusion.
Index.