Age-period-cohort analysis : : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land.
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three...
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| Superior document: | Chapman & Hall/CRC interdisciplinary statistics series |
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| Place / Publishing House: | Boca Raton, Fla. : : CRC Press,, 2013. |
| Year of Publication: | 2013 |
| Edition: | 1st edition |
| Language: | English |
| Series: | Interdisciplinary statistics.
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| Physical Description: | 1 online resource (339 p.) |
| Notes: | A Chapman & Hall book. |
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Yang, Yang, 1975, author. Age-period-cohort analysis : new models, methods, and empirical applications / Yang Yang and Kenneth C. Land. 1st edition Boca Raton, Fla. : CRC Press, 2013. 1 online resource (339 p.) text txt computer c online resource cr text file Chapman & Hall/CRC interdisciplinary statistics series Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables d English Includes bibliographical references and index. 1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion. A Chapman & Hall book. Cohort analysis. Age groups Statistical methods. statistical method. eng EUROVOC distribution by age. eng EUROVOC sociology. eng EUROVOC data processing. eng EUROVOC 1-322-66825-6 1-4665-0752-7 Land, Kenneth C. Interdisciplinary statistics. |
| language |
English |
| format |
eBook |
| author |
Yang, Yang, 1975, |
| spellingShingle |
Yang, Yang, 1975, Age-period-cohort analysis : new models, methods, and empirical applications / Chapman & Hall/CRC interdisciplinary statistics series 1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion. |
| author_facet |
Yang, Yang, 1975, Land, Kenneth C. |
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y y yy |
| author_role |
VerfasserIn |
| author2 |
Land, Kenneth C. |
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k c l kc kcl |
| author2_role |
TeilnehmendeR |
| author_sort |
Yang, Yang, 1975, |
| title |
Age-period-cohort analysis : new models, methods, and empirical applications / |
| title_sub |
new models, methods, and empirical applications / |
| title_full |
Age-period-cohort analysis : new models, methods, and empirical applications / Yang Yang and Kenneth C. Land. |
| title_fullStr |
Age-period-cohort analysis : new models, methods, and empirical applications / Yang Yang and Kenneth C. Land. |
| title_full_unstemmed |
Age-period-cohort analysis : new models, methods, and empirical applications / Yang Yang and Kenneth C. Land. |
| title_auth |
Age-period-cohort analysis : new models, methods, and empirical applications / |
| title_new |
Age-period-cohort analysis : |
| title_sort |
age-period-cohort analysis : new models, methods, and empirical applications / |
| series |
Chapman & Hall/CRC interdisciplinary statistics series |
| series2 |
Chapman & Hall/CRC interdisciplinary statistics series |
| publisher |
CRC Press, |
| publishDate |
2013 |
| physical |
1 online resource (339 p.) |
| edition |
1st edition |
| contents |
1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion. |
| isbn |
1-000-21873-2 0-429-09620-8 1-4665-0753-5 1-322-66825-6 1-4665-0752-7 |
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H - Social Science |
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HB - Economic Theory and Demography |
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HB849 |
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HB 3849.47 L36 42013 |
| illustrated |
Illustrated |
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000 - Computer science, information & general works 300 - Social sciences |
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000 - Computer science, knowledge & systems 300 - Social sciences, sociology & anthropology |
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001 - Knowledge 300 - Social sciences |
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001.42/2 001.422 300.727 |
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11.42 12 |
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001.42/2 001.422 300.727 |
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001.42/2 001.422 300.727 |
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829461089 827944838 |
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