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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Analyses
Date
2011-04-15 (Creation date: 2011-04-15)
Main contributor
Kenneth C. Land
Summary
The age-period-cohort model identification and estimation problem has been defined and studied in demography, epidemiology, statistics, and the social sciences for about four decades. This presentation will briefly review the early literature on this problem. It then will describe models and methods developed recently for APC analysis for three research designs: 1) age-by-time period tables of rates (the classical context of the APC identification problem), 2) microdata from repeated cross-section survey designs, and 3) accelerated longitudinal cohort designs. Empirical applications to data from all three designs will be presented.
Publisher
IU Workshop in Methods
Collection
Workshop in Methods
Unit
Social Science Research Commons
Notes

Performers

Dr. Land is the John Franklin Crowell Professor of Sociology and Demography at Duke University. His research interests are in the development of mathematical and statistical models and methods for substantive applications in demography, criminology, and social indicators/quality-of-life studies. Ken is the author or co-author of over 200 publications. He has been listed on the Institute for Scientific Information Highly Cited webpage as one of the 400 most highly cited social scientists in recent years. Ken is an elected a fellow of five professional societies, including the American Statistical Association, the American Association for the Advancement of Science, the Sociological Research Association, the American Society of Criminology, and the International Society for Quality-of-Life Studies.