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TRACKING WEEKLY STATE-LEVEL ECONOMIC CONDITIONS

机译:每周跟踪国家级经济条件

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In this paper, we develop a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We show that there is considerable heterogeneity in the length, depth, and timing of business cycles across individual states. We assess the role of states in national recessions and propose an aggregate indicator that allows us to gauge the overall weakness of the U.S. economy. We also illustrate the usefulness of these state-level indices for quantifying the main forces contributing to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of federal economic policies like the Paycheck Protection Program.
机译:在本文中,我们开发一种新颖的数据集每周经济条件为50指数美国1987年的基础上mixed-frequency动态因子模型每周、每月、季度变量覆盖多个维度的经济体。表明有相当大的异质性商业周期的长度、深度和时间在各州。在国家经济衰退和提出一个州总让我们衡量的指标整体疲软的美国经济。说明这些国家级的有效性指标量化的主要力量导致经济崩溃造成的COVID-19大流行和评估联邦经济政策的有效性薪水保护程序。

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