| Description |
1 online resource (xii, 204 pages) : illustrations. |
| Series |
Chapman & Hall/CRC statistics in the social and behavioral sciences series |
|
Statistics in the social and behavioral sciences series.
|
| Bibliography |
Includes bibliographical references and index. |
| Summary |
Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data 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. |
| Contents |
1. Introduction to the age, period, and cohort mix -- 2. Multiple classification models and constrained regression -- 3. Geometry of age-period-cohort (APC) models and constrained estimation -- 4. Estimable functions approach -- 5. Partitioning the variance in age-period-cohort (APC) models -- 6. Factor-characteristic approach -- 7. Conclusions : an empirical example. |
| Subject |
Cohort analysis.
|
|
Age groups -- Statistical models.
|
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Mathematical models.
|
|
Models, Theoretical |
|
Cohort Studies |
|
Analyse par cohorte. |
|
Modèles mathématiques. |
|
mathematical models. |
|
Mathematical models |
|
Cohort analysis |
| Other Form: |
Print version: Age-period-cohort Models. Chapman & Hall 2014 9781466551534 (OCoLC)774498155 |
| ISBN |
9781466551541 (electronic bk.) |
|
1466551542 (electronic bk.) |
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