Quantifying the probability of a recession in selected Central and Eastern European countries
Ciprian Necula,
Bogdan Murarașu,
Alina Radu,
Cristina Anghelescu and
Alina Zaharia
Economic Research-Ekonomska Istraživanja, 2023, vol. 36, issue 1, 209-229
Abstract:
The COVID-19 pandemic simultaneously affected most economic sectors and has already caused severe worldwide social and economic damage. In response, authorities introduced social distancing measures, with an adverse impact on economic activity. If policymakers were aware of the existing vulnerabilities, including those derived from the positioning on the business cycle, resilience could have been increased. The aim of this article is to describe various methods of dating business cycles in several Central and Eastern European (C.E.E.) countries, namely Czechia, Hungary, Poland and Romania. Furthermore, a Probit model regarding the probability of a recession is estimated, confirming the adverse effects of the pandemic, in contrast with a brightening outlook given vaccination campaigns and the E.U. recovery package. However, in case of the Romanian economy, an in-sample estimation showed a high probability of negative growth rates even in a pre-pandemic world, due to the high macroeconomic imbalances.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1331677X.2022.2073460 (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:reroxx:v:36:y:2023:i:1:p:209-229
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rero20
DOI: 10.1080/1331677X.2022.2073460
Access Statistics for this article
Economic Research-Ekonomska Istraživanja is currently edited by Marinko Skare
More articles in Economic Research-Ekonomska Istraživanja from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().