经济政策不确定性、世界不确定性与经济增长:来自贝叶斯向量自回归分析的证据

Ujjal Chatterjee
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摘要

本文考察了以报纸为基础的经济政策不确定性(EPU)和经济学人智库(EIU)国别报告为基础的世界不确定性(WUI)指数的信息内容与美国经济增长之间的关系。利用1990年至2022年的数据,并结合一些已知的变量来预测经济增长,我们的研究结果证明了以下几点:i)基于不同的用户使用指数,无论是美国特定的还是全球的,在不同的模型规范下,我们发现用户使用指数是对实际GDP增长产生负面影响的不确定性的重要衡量指标。ii) EPU与经济增长始终表现出反直觉的正相关关系。iii)企业信贷息差和石油价格等变量与实际国内生产总值增长呈强烈的负相关关系,而股票市场回报与经济增长呈强烈的正相关关系,这表明金融资产和商品价格对于衡量经济健康状况的重要性。
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Economic Policy Uncertainty, World Uncertainty, and Economic Growth: Evidence from a Bayesian Vector Autoregression Analysis
This paper examines the relationship between the information content of newspaper-based Economic Policy Uncertainty (EPU) and the Economist Intelligence Unit (EIU) country report-based World Uncertainty (WUI) indices in relation to U.S. economic growth. Using data from 1990 to 2022 and incorporating a number of variables known to predict economic growth, our findings demonstrate the following: i) Based on different measures of WUI, whether U.S.-specific or global, and under various model specifications, we find that WUI is an important measure of uncertainty that negatively impacts real GDP growth. ii) EPU consistently exhibits a counterintuitive positive relationship with economic growth. iii) Variables such as corporate credit spreads and oil prices show a robust negative relationship with real GDP growth, while stock market returns are positively and robustly related to economic growth, underlying the importance of prices of financial assets and commodities for gauging the health of the economy.
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