Quantifying the Interactions Between the Financial Sector and the Macroeconomy in China: A Structural Approach

量化中国金融部门与宏观经济之间的相互作用：结构性方法

• 批准号: 1558486
• 负责人: Kaiji Chen
• 金额: $ 30.98万
• 依托单位: National Bureau of Economic Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1558486&HistoricalAwards=false
• 关键词: Quantifying; Interactions; Between; Financial; Sector

The PIs will carry out data collection work that will shed new light on the Chinese economy as a whole. They will use publicly available detailed information on regular and off-balance-sheet intermediation activities by Chinese banks. From this information, they plan to create a longitudinal data set of economic aggregate measures that can be used to study the Chinese macroeconomy. Understanding China's financial markets and macroeconomy is crucial for the design of U.S. monetary and fiscal policy, with the overall goal of enhancing the competitiveness of the US economy in the global marketplace.The PIs will make their data set publicly available. Their analysis will also employ structural models to study interactions between bank lending activities, macroeconomic policy, and the aggregate economy. Because China's economy has a number of structural differences from advanced economies, the PIs will adapt models used to study the U.S. and Europe to build these structural models. The PIs will also compare the various results of the structural models and use parameters from these models to estimate transitional dynamics in the economy.

PI将开展数据收集工作，为整个中国经济提供新的信息。他们将使用公开的有关中资银行定期和表外中介活动的详细信息。根据这些信息，他们计划创建一个可用于研究中国宏观经济的经济总量指标的纵向数据集。了解中国的金融市场和宏观经济对美国制定货币和财政政策至关重要，其总体目标是增强美国经济在全球市场上的竞争力。PI将公开其数据集。 他们的分析还将采用结构模型来研究银行贷款活动、宏观经济政策和总体经济之间的相互作用。由于中国经济与发达经济体存在一些结构性差异，PI将采用用于研究美国和欧洲的模型来构建这些结构性模型。PI还将比较结构模型的各种结果，并使用这些模型的参数来估计经济中的过渡动态。