Measuring employment during COVID-19: challenges and opportunities

Gerald D. Cohen ()
Additional contact information
Gerald D. Cohen: Haver Analytics

Business Economics, 2020, vol. 55, issue 4, No 6, 229-239

Abstract: Abstract Measuring the economy during COVID-19 has created a set of hurdles and prospects for the U.S. statistical agencies, the private sector, and academia. This included how to deal with unprecedented movements in economic variables while ensuring data quality. At the same time, new entrants released data that are sometimes at odds with gold standard releases. Given the multitude of data, this article focuses on both existing and new ways to track the employment statistics. The results leave more questions than answers.

Keywords: COVID-19; Employment; Unemployment; Data quality (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1057/s11369-020-00190-4 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:buseco:v:55:y:2020:i:4:d:10.1057_s11369-020-00190-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11369

DOI: 10.1057/s11369-020-00190-4

Access Statistics for this article

Business Economics is currently edited by Charles Steindel

More articles in Business Economics from Palgrave Macmillan, National Association for Business Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().