Abstract

The socio-economic system of Russia and its regions has faced two shocks in recent years – restrictions caused by the pandemic coronavirus in 2020 and sanctions imposed in spring 2022. In these conditions, the need to form methods for forecasting economic shocks that can respond to the emerging challenges becomes more relevant. The article provides an analysis of economic shocks as a phenomenon, and offers some approaches to assessing the shock impact, applied both abroad and in Russia. Shocks to Russian regions are investigated using the principal component analysis (PCA) and R-statistics tool (R programming language). As a result, three clusters are identified, which include subjects of the Russian Federation, based on the degree of damage caused by restrictive measures at the onset of the coronavirus pandemic. Conclusions are drawn on the possibilities of improving the tools for assessing economic shocks at the macro- and meso-levels.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.