基于RF的居民储蓄行为分类模型

Jiayan Tang, Linqi He, Jing Cao, Yuxi Li, Cichun Liao, Zirong Ji, Qiahong Peng, Yan-qiong Zhou
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引用次数: 0

摘要

为了刺激居民储蓄,实现储蓄-投资的平衡,本文选取中国家庭金融调查中的家庭储蓄数据作为行为分类模型的主要研究对象,主要考察了投资行为、家庭消费等因素对居民储蓄决策的约束。建立决策分类预测和特征提取的RF模型,提高行为差异的可解释性和高预测率,并利用索洛模型进一步分析储蓄-投资平衡与社会价值周期的相关性,为区域经济的提升提供新的思路,进而提出有针对性的建议,力争带来更好的社会效果。
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Classification Model of Household Saving Behavior Based on RF
In order to stimulate residents savings and realize the balance of savings-investment, this paper selected the data of household savings in China's household finance survey as the main research object of the Behavior Classification Model, and mainly investigated the investment behavior, household consumption and other factors as the constraints of household savings decision-making. The establishment of RF Model for decision classification prediction and feature extraction, improve the interpretability of behavioral differences and high prediction rate, and further analyze the correlation between savings-investment balance and social value cycle with Solow Model, provide a new thinking line for the improvement of regional economy, and then put forward targeted suggestions and strive to bring about better social effects.
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