每周跟踪各州经济状况

Christiane Baumeister, Danilo Leiva-León, Eric Sims
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引用次数: 0

摘要

本文基于混合频率动态因素模型,利用涵盖各州经济多个维度的周、月和季度变量,为美国 50 个州开发了一套可追溯至 1987 年的新颖的每周经济状况指数数据集。我们发现各州在商业周期的长度、深度和时间上存在相当大的异质性。我们说明了这些州级指数在量化 COVID-19 大流行导致经济崩溃的主要因素以及评估薪酬保护计划的有效性方面的实用性。我们还提出了一个衡量美国经济整体疲软程度的综合指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking Weekly State-Level Economic Conditions

This paper develops 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 find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.

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