A Large Bayesian VAR of the United States Economy

Richard K. Crump, Stefano Eusepi, D. Giannone, E. Qian, Argia M. Sbordone
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引用次数: 7

Abstract

We model the United States macroeconomic and financial sectors using a formal and unified econometric model. Through shrinkage, our Bayesian VAR provides a flexible framework for modeling the dynamics of thirty-one variables, many of which are tracked by the Federal Reserve. We show how the model can be used for understanding key features of the data, constructing counterfactual scenarios, and evaluating the macroeconomic environment both retrospectively and prospectively. Considering its breadth and versatility for policy applications, our modeling approach gives a reliable, reduced form alternative to structural models.
美国经济的大贝叶斯VAR
我们使用正式和统一的计量经济模型对美国宏观经济和金融部门进行建模。通过收缩,我们的贝叶斯VAR为31个变量的动态建模提供了一个灵活的框架,其中许多变量由美联储跟踪。我们展示了该模型如何用于理解数据的关键特征,构建反事实情景,以及回顾性和前瞻性地评估宏观经济环境。考虑到策略应用的广度和通用性,我们的建模方法提供了一种可靠的、简化形式的结构模型替代方案。
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