Business exit during the COVID-19 pandemic: Non-traditional measures in historical context

被引:22
|
作者
Crane, Leland D. [1 ]
Decker, Ryan A. [1 ]
Flaaen, Aaron [1 ]
Hamins-Puertolas, Adrian [1 ]
Kurz, Christopher [1 ]
机构
[1] Fed Reserve Board, Washington, DC USA
关键词
Business exit; Business death; COVID-19; Big data; Non-traditional data; PRODUCTIVITY; REALLOCATION; SELECTION;
D O I
10.1016/j.jmacro.2022.103419
中图分类号
F [经济];
学科分类号
02 ;
摘要
Lags in official data releases have forced economists and policymakers to leverage "alternative"or "non-traditional"data to measure business exit resulting from the COVID-19 pandemic. We first review official data on business exit in recent decades to place the alternative measures of exit within historical context. For the U.S., business exit is fairly common, with about 7.5 percent of firms exiting annually in recent years. The high level of exit is driven by very small firms and establishments. We then explore a range of alternative measures of business exit, including novel measures based on paycheck issuance and phone-tracking data, which indicate exit was elevated in certain sectors during the first year of the pandemic. That said, we find many industries have likely seen lower-than-usual exit rates, and exiting businesses do not appear to represent a large share of U.S. employment. As a result, exit appears lower than widespread expectations from early in the pandemic.
引用
收藏
页数:12
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