Age, Period and Cohort Effects

Statistical Analysis and the Identification Problem
Herausgeber: Bell, Andrew

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Routledge
• Seitenzahl: 246
• Erscheinungstermin: 6. November 2020
• Englisch
• Abmessung: 240mm x 161mm x 18mm
• Gewicht: 539g
• ISBN-13: 9780367174422
• ISBN-10: 0367174421
• Artikelnr.: 60013900

Autorenporträt

Andrew Bell is a senior lecturer in Quantitative Social Sciences at the Sheffield Methods Institute, University of Sheffield, UK.

Inhaltsangabe

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