@inproceedings{9ff27d2b2a4c4bcfb76082e3c4fdee4f,
title = "Policy Simulation for Retirement Planning Based on Clusters Generated from Questionnaire Data",
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.",
keywords = "Computational simulation, Finance, Individual questionnaire, Life planning",
author = "Takamasa Kikuchi and Hiroshi Takahashi",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021 ; Conference date: 14-06-2021 Through 16-06-2021",
year = "2021",
doi = "10.1007/978-981-16-2994-5_24",
language = "English",
isbn = "9789811629938",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "285--298",
editor = "G. Jezic and J. Chen-Burger and M. Kusek and R. Sperka and Howlett, {R. J.} and Jain, {Lakhmi C.} and Jain, {Lakhmi C.} and Jain, {Lakhmi C.}",
booktitle = "Agents and Multi-Agent Systems",
}