Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem
 
Product details:

ISBN13:9780367174439
ISBN10:036717443X
Binding:Paperback
No. of pages:248 pages
Size:234x156 mm
Weight:453 g
Language:English
Illustrations: 70 Illustrations, black & white; 32 Halftones, black & white; 38 Line drawings, black & white; 13 Tables, black & white
252
Category:

Age, Period and Cohort Effects

Statistical Analysis and the Identification Problem
 
Edition number: 1
Publisher: Routledge
Date of Publication:
 
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Short description:

This book is key reference material for researchers wanting to know how to appropriately deal with Age-Period-Cohort issues in their statistical modelling.

Long 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.



"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, Ume? University, Sweden

Table of Contents:

Chapter 1. Introduction to Age, Period and Cohort Effects  Chapter 2. The Pros and Cons of Constraining Variables  Chapter 3. Multilevel Models for Age-Period-Cohort Analysis  Chapter 4. The Lexis Surface: A Tool and Workflow for Better Reasoning about Population Data  Chapter 5. Detecting the ?Black Hole? of Age-Period Excess Mortality in 25 Countries: Age-Period-Cohort Residual Analysis  Chapter 6. Learning from Age-Period-Cohort Data: Bounds, Mechanisms, and 2D-APC Graphs  Chapter 7. Assessing Factors that Contribute to Age, Period and Cohort Trends  Chapter 8. Bayesian Age-Period-Cohort Models  Chapter 9. Age-Period-Cohort Analysis: What is it Good For?  Chapter 10. The Line of Solutions and Understanding Age-Period-Cohort Models