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

Policy Simulation for Retirement Planning Based on Clusters Generated from Questionnaire Data
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基于问卷数据生成聚类的退休规划政策模拟

DOI:
10.1007/978-981-16-2994-5_24
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发表时间:
2021
期刊:
Agents and Multi-agent Systems: Technologies and Applications 2021. Smart Innovation, Systems and Technologies, Springer
影响因子:
--
通讯作者:
Hiroshi Takahashi
Hiroshi Takahashi
中科院分区:
--
文献类型:
--
作者:
Takamasa Kikuchi;Hiroshi Takahashi

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在日本,人们对退休前后几代人的生活规划非常感兴趣,正在进行各种政策模拟。然而,在传统的模拟中,存在改进个体属性的多样性和代表性的空间。因此,在本文中,我们建立了一个可能的人集群分类的资产状况和投资状况的一代人退休前和退休后,使用个人问卷数据。我们还讨论了基于这些集群的资产形成和退出相关的计算机模拟,并研究了为避免资产枯竭而采取的措施。
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.
DOI: 10.20965/jaciii.2018.p1026
发表时间: 2018
影响因子: 0.7
作者:
Takamasa Kikuchi;Masaaki Kunigami;Takashi Yamada;Hiroshi Takahashi;Takao Terano
通讯作者: Takao Terano