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.

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