Age, Period and Cohort Effects

Statistical Analysis and the Identification Problem
1. Auflage 2020
ISBN: 978-0-367-17443-9
Verlag: Routledge

Buch, Englisch, 248 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 380 g

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.

Zielgruppe

Postgraduate and Professional

Autoren/Hrsg.

Bell, Andrew

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

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

Über Autor(innen)

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