Working Paper

Unemployment in the Time of COVID-19: A Flow-Based Approach to Real-time Unemployment Projections

Abstract: This paper presents a flow-based methodology for real-time unemployment rate projections and shows that this approach performed considerably better at the onset of the COVID-19 recession in spring 2020 in predicting the peak unemployment rate as well as its rapid decline over the year. It presents an alternative scenario analysis for 2021 based on this methodology and argues that the unemployment rate is likely to end slightly below 5 percent by the end of 2021. The predictive power of the methodology comes from its combined use of real-time data with the flow approach.

Keywords: E32; E24; D21; J6; R1;

Access Documents

File(s): File format is text/html
Description: Full Text


Bibliographic Information

Provider: Federal Reserve Bank of Cleveland

Part of Series: Working Papers

Publication Date: 2021-11-09

Number: 21-25