A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond

Author:   Wenjiang Fu
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367734800


Pages:   230
Publication Date:   18 December 2020
Format:   Paperback
Availability:   In Print   Availability explained
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A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond


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Overview

Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features · Gives a comprehensive and in-depth review of models and methods in APC analysis. · Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. · Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu’s research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

Full Product Details

Author:   Wenjiang Fu
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367734800


ISBN 10:   036773480
Pages:   230
Publication Date:   18 December 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

"""The book is intended for graduates and researchers: biostatisticians, public health economists and actuaries will find this book relevant to their work and even researchers on demography and life tables will benefit."" ~Royal Statistical Society"


The book is intended for graduates and researchers: biostatisticians, public health economists and actuaries will find this book relevant to their work and even researchers on demography and life tables will benefit. Royal Statistical Society


The book is intended for graduates and researchers: biostatisticians, public health economists and actuaries will find this book relevant to their work and even researchers on demography and life tables will benefit. ~Royal Statistical Society The book is intended for graduates and researchers: biostatisticians, public health economists and actuaries will find this book relevant to their work and even researchers on demography and life tables will benefit. ~Royal Statistical Society This book provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. - Springer Nature


The book is intended for graduates and researchers: biostatisticians, public health economists and actuaries will find this book relevant to their work and even researchers on demography and life tables will benefit. ~Royal Statistical Society


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Wenjiang Fu

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