Overview
- Uses multivariate prediction modeling to identify population segments (key demographics)
- Provides multivariate analyses of factors in pre-retirees’ decisions to delay retirement and their usage of professional financial advisors.
- Provides analytical tools that help researchers who need to target multidimensional population segments in contexts where cross-tabulations are unusable
- Contains analysis of factors that help to explain three steps toward use of professional financial advisors
- Presents unique charts about the age pattern of the one-year probability of going into retirement within an ageing cohort and about older-worker flows into and out of labour market statuses
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
- 2007-2009 financial crisis
- Delay retirement
- Distinctive population segment
- Economic risk
- Financial advisors
- Gender differences
- Key Demographics
- Multi-Mode risk management
- Multimodal risk management
- Parameters of multivariate prediction models
- Pension scheme
- Personal risk management
- Population Aging
- Population Composition
- Pre-retirees
- Prediction Modelling
- Retirement related risk management
About this book
Key Demographics in Retirement Risk Management argues that the weakening of public and employer-sponsored social safety nets in several countries will permanently increase pre-retirees’ risk-anxiety and create pressure towards readjustment of their expectations about the quality of their lives in retirement. The result will be to raise the priority of achieving effective comprehensive retirement related risk management. This achievement requires an emphasis upon the cascading of linked risks, and careful attention to the optimization of scarce resources used to manage those linked risks. Professional financial and retirement planning advisors comprise a key source of help. This book develops new knowledge concerning the factors that help to explain three important aspects of access to these professional advisors. The results of this analysis are used to illustrate the process of identifying distinctive population segments, key demographics, on the basis of multiple population attributes treated simultaneously. The illustration is further extended with an identification of distinctive population segments relative to performance on a composite indicator of the conduct of multiple retirement risk management activities. The book also discusses implications of the pattern of gender differences in preparedness to address retirement’s challenges, highlighting subgroups of women in which inadequate preparedness is pronounced.Â
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Key Demographics in Retirement Risk Management
Editors: Leroy O Stone
DOI: https://doi.org/10.1007/978-94-007-4044-0
Publisher: Springer Dordrecht
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer Science+Business Media B.V. 2012
Hardcover ISBN: 978-94-007-4043-3Published: 16 May 2012
Softcover ISBN: 978-94-007-9386-6Published: 11 June 2014
eBook ISBN: 978-94-007-4044-0Published: 14 June 2012
Edition Number: 1
Number of Pages: XVIII, 146
Topics: Aging, Demography, Population Economics, Gender Studies, Market Research/Competitive Intelligence