Overview
- Introduces a novel method for mortality modeling applying the shifting feature of the mortality curve
- Describes useful ideas for modeling the shifting mortality that are not examined in other books
- Details a method for mortality projection and decomposition of modal age at death by applying the models
Part of the book series: SpringerBriefs in Population Studies (BRIEFSPOPULAT)
Part of the book sub series: Population Studies of Japan (POPULAT)
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About this book
Keywords
Table of contents (7 chapters)
Authors and Affiliations
About the author
Dr. Futoshi Ishii is a professor of Keio University, Tokyo, Japan. He received his Ph.D. in demography from University of California, Berkeley, in 2014. He is a formal demographer who has contributed to the official population projections for Japan when he worked at the National Institute of Population and Social Security Research (IPSS). He is a founding director of the Japanese Mortality Database at IPSS, which is a database of Japanese life tables frequently used in mortality studies for Japan.
His major research fields are population projection, mortality analysis, and mathematical demography. He has published many books and papers in these fields that include co-edited book “Choju Kenko no Jinkogaku (Demography of Longevity and Health)”(Hara Shobo 2021).
Bibliographic Information
Book Title: Modeling Shifting Mortality, and Its Applications
Authors: Futoshi Ishii
Series Title: SpringerBriefs in Population Studies
DOI: https://doi.org/10.1007/978-981-99-2509-4
Publisher: Springer Singapore
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Softcover ISBN: 978-981-99-2508-7Published: 01 August 2023
eBook ISBN: 978-981-99-2509-4Published: 31 July 2023
Series ISSN: 2211-3215
Series E-ISSN: 2211-3223
Edition Number: 1
Number of Pages: XIII, 79
Number of Illustrations: 29 b/w illustrations, 18 illustrations in colour
Topics: Demography, Demography, Demography