Overview
- Investigates the demand for life insurance as seen in previous literature
- Estimates and predicts the demand for the adoption of life insurance
- Explores a better estimation and a prediction of the demand for life insurance
- Is of interest to academics and students of insurance, financial planning, and risk management
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Table of contents (7 chapters)
Keywords
About this book
This book, adopting machine learning techniques for the financial planning field, explores the demand for life insurance as seen in previous literature and both estimates and predicts the demand for the adoption of life insurance using these techniques. Previous studies used diverse perspectives, like actuarial and life span, in order to understand the demand for life insurance, though these approaches have shown inconsistent findings. Employing two theoretical backgrounds—ecological systemic theory and artificial intellectual methodology—this book explores a better estimation and a prediction of the demand for life insurance and will be of interest to academics and students of insurance, financial planning, and risk management.
Authors and Affiliations
About the author
Wookjae Heo is an assistant professor of Consumer Affairs at the South Dakota State University, USA. Prior to earning a PhD from the University of Georgia, USA, he had worked for a marketing consulting firm and received a MA Degree in Consumer Sciences from Seoul National University, South Korea. His main research interest is broadly about consumer behavioral intervention, financial stress on consumer behavior, demand of life insurance, and data mining/data analysis in consumer research.
Bibliographic Information
Book Title: The Demand for Life Insurance
Book Subtitle: Dynamic Ecological Systemic Theory Using Machine Learning Techniques
Authors: Wookjae Heo
DOI: https://doi.org/10.1007/978-3-030-36903-3
Publisher: Palgrave Pivot Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-36902-6Published: 28 December 2019
Softcover ISBN: 978-3-030-36905-7Published: 28 December 2020
eBook ISBN: 978-3-030-36903-3Published: 27 December 2019
Edition Number: 1
Number of Pages: XII, 163
Number of Illustrations: 8 b/w illustrations, 2 illustrations in colour
Topics: Insurance, Personal Finance/Wealth Management/Pension Planning