Bayesian Inference for Welfare Comparisons of Income Inequality and Poverty

收入不平等和贫困的福利比较的贝叶斯推理

• 批准号: DP0771334
• 负责人: Dr Duangkamon Chotikapanich
• 金额: $ 12.01万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-03-15 至 2010-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0771334
• 关键词: Bayesian; Inference; Welfare; Comparisons; Income

The major expected outcome of this research is an array of techniques for making welfare comparisons involving income inequality and poverty within a framework of Bayesian inference. Various applications of the techniques are expected to yield useful information on inequality comparisons over time and space and on changes in the level of poverty. Given that reduction in levels of inequality and poverty is a matter of major concern, the development of suitable measurement techniques has immense potential for national benefit. In addition, the project will serve as a vehicle for training two PhD students, and hence will contribute to the small pool of highly trained econometricians with expertise in measuring income inequality.

这项研究的主要预期成果是一系列的技术，使福利比较涉及收入不平等和贫困的贝叶斯推理的框架内。这些技术的各种应用预计将产生关于不同时间和空间的不平等比较以及关于贫穷程度变化的有用信息。鉴于减少不平等和贫穷程度是一个重大关切事项，发展适当的计量技术对国家利益具有巨大潜力。此外，该项目将作为培训两名博士生的工具，从而为少数训练有素、具有衡量收入不平等专业知识的计量经济学家做出贡献。