1st Edition
Age, Period and Cohort Effects Statistical Analysis and the Identification Problem
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
Biography
Andrew Bell is a senior lecturer in Quantitative Social Sciences at the Sheffield Methods Institute, University of Sheffield, UK.
"The interplay of lifecycle, history and generation - or age, period and cohort, in humbler terms – is one of the great puzzles in the study of individual and social change. This landmark collection is a major contribution on a topic that reaches from philosophy to social statistics. Don’t be overtaken by time: start reading now!" – Professor David Voas, University College London, UK
"Understanding age, period, and cohort effects is a mainstream concern in all the social sciences. But researchers have struggled with how exactly to approach 'APC' issues. This book provides invaluable, up-to-date methodological guidance." – Professor Malcolm Fairbrother, Umeå University, Sweden
