Age-Period-Cohort Models

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. Emphasizing both the geometry and algebra of several APC approaches, the book develops readers' understanding of the statistical issues of APC analysis and shows how common methods are related to each other.

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents
  4. Preface
  5. Author
  6. Chapter 1: Introduction to the Age, Period, and Cohort Mix (1/4)
  7. Chapter 1: Introduction to the Age, Period, and Cohort Mix (2/4)
  8. Chapter 1: Introduction to the Age, Period, and Cohort Mix (3/4)
  9. Chapter 1: Introduction to the Age, Period, and Cohort Mix (4/4)
  10. Chapter 2: Multiple Classification Models and Constrained Regression (1/8)
  11. Chapter 2: Multiple Classification Models and Constrained Regression (2/8)
  12. Chapter 2: Multiple Classification Models and Constrained Regression (3/8)
  13. Chapter 2: Multiple Classification Models and Constrained Regression (4/8)
  14. Chapter 2: Multiple Classification Models and Constrained Regression (5/8)
  15. Chapter 2: Multiple Classification Models and Constrained Regression (6/8)
  16. Chapter 2: Multiple Classification Models and Constrained Regression (7/8)
  17. Chapter 2: Multiple Classification Models and Constrained Regression (8/8)
  18. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (1/7)
  19. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (2/7)
  20. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (3/7)
  21. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (4/7)
  22. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (5/7)
  23. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (6/7)
  24. Chapter 3: Geometry of Age–­Period–­Cohort (APC) Models and Constrained Estimation (7/7)
  25. Chapter 4: Estimable Functions Approach (1/5)
  26. Chapter 4: Estimable Functions Approach (2/5)
  27. Chapter 4: Estimable Functions Approach (3/5)
  28. Chapter 4: Estimable Functions Approach (4/5)
  29. Chapter 4: Estimable Functions Approach (5/5)
  30. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (1/7)
  31. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (2/7)
  32. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (3/7)
  33. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (4/7)
  34. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (5/7)
  35. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (6/7)
  36. Chapter 5: Partitioning the Variance in Age–­Period–­Cohort (APC) Models (7/7)
  37. Chapter 6: Factor-­Characteristic Approach (1/6)
  38. Chapter 6: Factor-­Characteristic Approach (2/6)
  39. Chapter 6: Factor-­Characteristic Approach (3/6)
  40. Chapter 6: Factor-­Characteristic Approach (4/6)
  41. Chapter 6: Factor-­Characteristic Approach (5/6)
  42. Chapter 6: Factor-­Characteristic Approach (6/6)
  43. Chapter 7: Conclusions: An Empirical Example (1/5)
  44. Chapter 7: Conclusions: An Empirical Example (2/5)
  45. Chapter 7: Conclusions: An Empirical Example (3/5)
  46. Chapter 7: Conclusions: An Empirical Example (4/5)
  47. Chapter 7: Conclusions: An Empirical Example (5/5)
  48. Back Cover

Product information

  • Title: Age-Period-Cohort Models
  • Author(s): Robert O'Brien
  • Release date: August 2014
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781466551541