Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data
Robert M O'Brien
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.
Abstract: 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
Abstract: 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
Categories:
Year:
2014
Publisher:
CRC Press
Language:
english
ISBN 10:
1466551542
ISBN 13:
9781466551541
Series:
Chapman & Hall/CRC Statistics in the Social & Behavioral
File:
PDF, 13.45 MB
IPFS:
,
english, 2014
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