Description
Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age–Period–Cohort related questions about society.
Age–Period–Cohort (APC) analysis is a fundamental topic for any quantitative social scientist studying individuals over time. At the same time, it is also one of the most misunderstood and underestimated topics in quantitative methods. As such, this book is key reference material for researchers wanting to know how to deal with APC issues appropriately in their statistical modelling. It deals with the identification problem caused by the co-linearity of the three variables, considers why some currently used methods are problematic and suggests ideas for what applied researchers interested in APC analysis should do.
Whilst the perspectives are varied, the book provides a unified view of the subject in a reader-friendly way that will be accessible to social scientists with a moderate level of quantitative understanding, across the social and health sciences.
Table of Contents
Chapter 1. Introduction to Age, Period and Cohort Effects
Andrew Bell
Chapter 2. The Pros and Cons of Constraining Variables
Paula Thijs, Manfred te Grotenhuis, Peer Scheepers
Chapter 3. Multilevel Models for Age-Period-Cohort Analysis
Andrew Bell and Kelvyn Jones
Chapter 4. The Lexis Surface: A Tool and Workflow for Better Reasoning about Population Data
Jon Minton
Chapter 5. Detecting the ‘Black Hole’ of Age-Period Excess Mortality in 25 Countries: Age-Period-Cohort Residual Analysis
Louis Chauvel, Anja Leist, and Herbert L Smith
Chapter 6. Learning from Age-Period-Cohort Data: Bounds, Mechanisms, and 2D-APC Graphs
Ethan Fosse, Christopher Winship, and Adel Daoud
Chapter 7. Assessing Factors that Contribute to Age, Period and Cohort Trends
Theodore R. Holford
Chapter 8. Bayesian Age-Period-Cohort Models
Ethan Fosse
Chapter 9. Age-Period-Cohort Analysis: What is it Good For?
Herbert L. Smith
Chapter 10. The Line of Solutions and Understanding Age-Period-Cohort Models
Robert M. O’Brien
