Book description
This book presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition and a new technique called the s-constraint approach.
Table of contents
- Front Cover (1/2)
- Front Cover (2/2)
- Contents
- Preface
- Author
- Chapter 1: Introduction to the Age, Period, and Cohort Mix (1/4)
- Chapter 1: Introduction to the Age, Period, and Cohort Mix (2/4)
- Chapter 1: Introduction to the Age, Period, and Cohort Mix (3/4)
- Chapter 1: Introduction to the Age, Period, and Cohort Mix (4/4)
- Chapter 2: Multiple Classification Models and Constrained Regression (1/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (2/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (3/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (4/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (5/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (6/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (7/8)
- Chapter 2: Multiple Classification Models and Constrained Regression (8/8)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (1/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (2/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (3/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (4/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (5/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (6/7)
- Chapter 3: Geometry of Age–Period–Cohort (APC) Models and Constrained Estimation (7/7)
- Chapter 4: Estimable Functions Approach (1/5)
- Chapter 4: Estimable Functions Approach (2/5)
- Chapter 4: Estimable Functions Approach (3/5)
- Chapter 4: Estimable Functions Approach (4/5)
- Chapter 4: Estimable Functions Approach (5/5)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (1/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (2/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (3/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (4/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (5/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (6/7)
- Chapter 5: Partitioning the Variance in Age–Period–Cohort (APC) Models (7/7)
- Chapter 6: Factor-Characteristic Approach (1/6)
- Chapter 6: Factor-Characteristic Approach (2/6)
- Chapter 6: Factor-Characteristic Approach (3/6)
- Chapter 6: Factor-Characteristic Approach (4/6)
- Chapter 6: Factor-Characteristic Approach (5/6)
- Chapter 6: Factor-Characteristic Approach (6/6)
- Chapter 7: Conclusions: An Empirical Example (1/5)
- Chapter 7: Conclusions: An Empirical Example (2/5)
- Chapter 7: Conclusions: An Empirical Example (3/5)
- Chapter 7: Conclusions: An Empirical Example (4/5)
- Chapter 7: Conclusions: An Empirical Example (5/5)
- Back Cover
Product information
- Title: Age-Period-Cohort Models
- Author(s):
- Release date: August 2014
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781466551541
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