Analyses on moving state of poverty using panel data
利用面板数据分析贫困状况转移
基本信息
- 批准号:21530203
- 负责人:
- 金额:$ 2.83万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2009
- 资助国家:日本
- 起止时间:2009 至 2011
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In this research, a relationship between poverty of households and perception of their happiness and social position, and the mobility of satisfaction with living which is supposed to be closely related to the change of households' poverty condition are analyzed empirically using micro-data such as panel data. Since data of subjective perception such as happiness are ordinal data, Bayesian method for estimating the ordered probit model and the multivariate ordered probit model are used. Through the research, we provided a new concept,"regret", to measure inequality of subjective perception from the posterior results of the latent variables used in the estimation.
本研究使用面板数据等微观数据,实证分析了家庭贫困与幸福感和社会地位的关系,以及与家庭贫困状况变化密切相关的生活满意度的变动。由于主观感知的数据,如幸福是有序的数据,贝叶斯方法估计有序概率模型和多变量有序概率模型。通过研究,我们提出了一个新的概念,“后悔”,以衡量主观感知的不平等性,从后验结果的潜在变量的估计。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Measuring inequality of subjective well-being : A Bayesian approach
衡量主观幸福感的不平等:贝叶斯方法
- DOI:10.1016/j.socec.2011.05.009
- 发表时间:2011
- 期刊:
- 影响因子:0
- 作者:長谷川光・上田和宏
- 通讯作者:長谷川光・上田和宏
On polychoric and polyserial partial correlation coefficients: A Bayesian approach
关于多向和多序列偏相关系数:贝叶斯方法
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0.8
- 作者:Goushi Kataoka;Masazumi Wakatabe;Hikaru Hasegawa
- 通讯作者:Hikaru Hasegawa
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