EconPapers    
Economics at your fingertips  
 

Relationship between the COVID-19 pandemic and the macroeconomic indicators: Evidence from a global analysis

Le Tung

Proceedings of the International Conference on Business Excellence, 2022, vol. 16, issue 1, 785-791

Abstract: The COVID-19 pandemic is presenting a serious health crisis to humanity. This pandemic is also raising questions for both academic and policy administration. Using a global database, this paper aims to clarify the relationship between COVID-19 statistics and some macroeconomic indicators in 206 countries worldwide. The quantitative analysis process is done by two methodologies including the Pearson correlation and the Pooled-OLS regression. The result shows that the number of infections and deaths has positive and significant relationships with the population, the median age, and income per capita. The information from this paper can help policymakers have a better view of the COVID-19 pandemic as well as prepare effective responses in combating potential pandemics in the future.

Keywords: COVID-19; coronavirus disease; SARS-COV-2; pandemic; social crisis; health crisis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/picbe-2022-0073 (text/html)

Related works:
Working Paper: Relationship between the COVID-19 pandemic and the macroeconomic indicators: Evidence from a global analysis (2022) Downloads
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:vrs:poicbe:v:16:y:2022:i:1:p:785-791:n:27

DOI: 10.2478/picbe-2022-0073

Access Statistics for this article

Proceedings of the International Conference on Business Excellence is currently edited by Alina Mihaela Dima

More articles in Proceedings of the International Conference on Business Excellence from Sciendo
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:poicbe:v:16:y:2022:i:1:p:785-791:n:27