Policy Simulation for Retirement Planning Based on Clusters Generated from Questionnaire Data

Takamasa Kikuchi, Hiroshi Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Japan, there is significant interest in life planning for generations before and after retirement, and various policy simulations are being conducted. However, there is room to improve the diversity and representativeness of individual attributes in conventional simulations. Thus, in this paper, we set up a possible person cluster by categorizing the asset status and investment status of the generation before and after retirement using individual questionnaire data. We also discuss computer simulations related to asset formation and withdrawal based on those clusters, and we examine measures to be taken to avoid asset depletion.

Original languageEnglish
Title of host publicationAgents and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications 2021 - Proceedings of 15th KES International Conference, KES-AMSTA 2021
EditorsG. Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages285-298
Number of pages14
ISBN (Print)9789811629938
DOIs
Publication statusPublished - 2021
Event15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021 - Virtual, Online
Duration: 2021 Jun 142021 Jun 16

Publication series

NameSmart Innovation, Systems and Technologies
Volume241
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021
CityVirtual, Online
Period21/6/1421/6/16

Keywords

  • Computational simulation
  • Finance
  • Individual questionnaire
  • Life planning

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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