Monetary and Fiscal Policy under Imperfect Knowledge

不完全知识下的货币和财政政策

• 批准号: FT130101599
• 负责人: Prof Dr Bruce Preston
• 金额: $ 60.79万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT130101599
• 关键词: Monetary; Fiscal; Policy; under; Imperfect

This project lays out an agenda exploring the consequences of imperfect knowledge for macroeconomic dynamics and stabilisation policy. Learning dynamics are central to understanding aggregate fluctuations in periods during which agents have limited information about their environment, as has been the case during and after the Global Financial Crisis. The agenda comprises two lines of inquiry. The first develops theoretical issues relating to the design and implementation of monetary and fiscal policy under imperfect knowledge. The second adduces empirical evidence on the classes of possible beliefs that any macroeconomic model should account for.

这个项目列出了一个议程，探讨不完善的知识对宏观经济动态和稳定政策的影响。学习动态对于理解代理人对其环境信息有限的时期的总体波动至关重要，就像全球金融危机期间和之后的情况一样。议程包括两条调查路线。第一部分在不完全知识的情况下发展了与货币和财政政策的设计和实施相关的理论问题。第二种观点引用了任何宏观经济模型都应该考虑的可能信念类别的经验证据。