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Age-period-cohort models : approaches and analyses with aggregate data

Age-period-cohort models : approaches and analyses with aggregate data (9회 대출)

자료유형
단행본
개인저자
O'Brien, Robert M.
서명 / 저자사항
Age-period-cohort models : approaches and analyses with aggregate data / Robert M. O'Brien.
발행사항
Boca Raton :   CRC Press,   2015.  
형태사항
xi, 204 p. : ill. ; 24 cm.
총서사항
Chapman & Hall/CRC statistics in the social and behavioral sciences series
ISBN
9781466551534 1466551534
내용주기
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.
서지주기
Includes bibliographical references and index.
일반주제명
Cohort analysis. Age groups --Statistical methods.
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100 1 ▼a O'Brien, Robert M.
245 1 0 ▼a Age-period-cohort models : ▼b approaches and analyses with aggregate data / ▼c Robert M. O'Brien.
260 ▼a Boca Raton : ▼b CRC Press, ▼c 2015.
300 ▼a xi, 204 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Chapman & Hall/CRC statistics in the social and behavioral sciences series
504 ▼a Includes bibliographical references and index.
505 0 0 ▼g 1. ▼t Introduction to the age, period, and cohort mix -- ▼g 2. ▼t Multiple classification models and constrained regression -- ▼g 3. ▼t Geometry of age-period-cohort (APC) models and constrained estimation -- ▼g 4. ▼t Estimable functions approach -- ▼g 5. ▼t Partitioning the variance in age-period-cohort (APC) models -- ▼g 6. ▼t Factor-characteristic approach -- ▼g 7. Conclusions : ▼t An empirical example.
650 0 ▼a Cohort analysis.
650 0 ▼a Age groups ▼x Statistical methods.
740 0 2 ▼a Empirical example.
830 0 ▼a Statistics in the social and behavioral sciences series.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 001.42 O13a 등록번호 111729717 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Introduction to the Age, Period, and Cohort Mix
Introduction
Interest in Age, Period, and Cohort
Importance of Cohorts
Plan for the Book

Multiple Classification Models and Constrained Regression
Introduction
Linearly Coded Age?Period?Cohort (APC) Model
Categorically Coded APC Model
Generalized Linear Models
Null Vector
Model Fit
Solution Is Orthogonal to the Constraint
Examining the Relationship between Solutions
Differences between Constrained Solutions as Rotations of Solutions
Solutions Ignoring One or More of the Age, Period, or Cohort Factors
Bias: Constrained Estimates and the Data Generating Parameters
Unbiased Estimation under a Constraint
A Plausible Constraint with Some Extra Empirical Support

Geometry of APC Models and Constrained Estimation
Introduction
General Geometric View of Rank Deficient by One Models
Generalization to Systems with More Dimensions
APC Model with Linearly Coded Variables
Equivalence of the Geometric and Algebraic Solutions
Geometry of the Multiple Classification Model
Distance from Origin and Distance along the Line of Solutions
Empirical Example: Frost’s Tuberculosis Data
Summarizing Some Important Features from the Geometry of APC Models
Problem with Mechanical Constraints

Estimable Functions Approach
Introduction
Estimable Functions
lsv Approach for Establishing Estimable Functions in APC Models
Some Examples of Estimable Functions Derived Using the lsv Approach
Comments on the lsv Approach
Estimable Functions with Empirical Data
More Substantive Examination of Differences of Male and Female Lung Cancer Mortality Rates

Partitioning the Variance in APC Models
Introduction
Age?Period?Cohort Analysis of Variance (APC ANOVA) Approach to Attributing Variance
APC Mixed Model
Hierarchical APC Model
Empirical Example Using Homicide Offending Data

Factor-Characteristic Approach
Introduction
Characteristics for One Factor
Characteristics for Two or More Factors
Variance Decomposition for Factors and for Factor Characteristics
Empirical Examples: Age?Period-Specific Suicide Rates and Frequencies
Age?Period?Cohort Characteristics (APCC) Analysis of Suicide Data with Two Cohort Characteristics
Age?Cohort?Period Characteristics (ACPC) Analysis of the Suicide Data with Two Period Characteristics
Age?Period?Characteristics?Cohort Characteristics Model
Approaches Based on Factor Characteristics and Mechanism
Additional Features and Analyses of Factor-Characteristic Models

Conclusions: An Empirical Example
Introduction
Empirical Example: Homicide Offending

Index

Conclusions and References appear at the end of each chapter.


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