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Cited by 280

The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications

Open access
Yang, Yang, Land, Kenneth C.·2016·Chapman & Hall/CRC eBooks

Abstract

This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for 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. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions.

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Metadata

Authors
Yang, Y., & Land, K. C.
Venue
Chapman & Hall/CRC eBooks
Published
2016-04-19
OpenAlex
W4212985865
Cited by
280
References
179
FWCI
4.06
Type
book
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications. https://app.cochat.ai/papers/10.1201/b13902
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Yang, Y., & Land, K. C. (2016). Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/b13902

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.