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