Age, Period and Cohort Effects Statistical Analysis and the Identification Problem
“Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem” by Andrew Bell, published by Routledge in 2020, offers insights into the complexities of Age-Period-Cohort (APC) analysis. This 238-page book presents various perspectives from leading methodologists and applied researchers, focusing on effective approaches to address APC-related questions in society. It highlights the significance of APC analysis for quantitative social scientists and aims to clarify common misunderstandings surrounding this essential topic.
Readers will find a comprehensive examination of the identification problem stemming from the co-linearity of age, period, and cohort variables. The book critiques existing methods and proposes alternative strategies for applied researchers engaged in APC analysis. With a reader-friendly approach, it aims to be accessible to social scientists with a moderate level of quantitative understanding, making it a valuable reference in fields such as economics, psychology, and sociology.
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Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age-Period-Cohort related questions about society.
Age-Period-Cohort (APC) analysis is a fundamental topic for any quantitative social scientist studying individuals over time. At the same time, it is also one of the most misunderstood and underestimated topics in quantitative methods. As such, this book is key reference material for researchers wanting to know how to deal with APC issues appropriately in their statistical modelling. It deals with the identification problem caused by the co-linearity of the three variables, considers why some currently used methods are problematic and suggests ideas for what applied researchers interested in APC analysis should do.
Whilst the perspectives are varied, the book provides a unified view of the subject in a reader-friendly way that will be accessible to social scientists with a moderate level of quantitative understanding, across the social and health sciences.
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