Nowcasting GDP growth during the COVID-19 pandemic: a simple rule that made it through
Boriss Siliverstovs
Applied Economics Letters, 2024, vol. 31, issue 21, 2317-2321
Abstract:
By using the composite coincident indicator, we document the real-time nowcasting performance of Latvian GDP growth during the COVID-19 period. The Latvian Economic Barometer accurately predicted GDP growth during the COVID-19 pandemic, especially, in the second and third quarters of 2020, a period that proved challenging for more sophisticated econometric models.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2023.2227412 (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:taf:apeclt:v:31:y:2024:i:21:p:2317-2321
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2023.2227412
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().