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Clustering Macroeconomic Impact of Covid-19 in OECD Countries and China

Bige Küçükefe

Journal of Research in Economics, Politics & Finance, 2020, vol. 5, issue SI, 280-291

Abstract: The coronavirus pandemic (COVID-19) has caused the biggest economic contraction in global economy since the Second World War. COVID-19 pandemic has forced governments to take unprecedented measures to prevent the spread and to protect their economies that presented a dilemma because of their conflicting outcomes. This paper investigates the presumption of health-economy trade-off due to COVID-19 by comparing the GDP declines and deaths in per million population in OECD countries and China. The empiric data shows the countries with the highest death rates have seen the largest economic downturns. The clustering analysis by using k-means algorithm finds that there are three partitions of countries for current account balances, GDP growth rate, and deaths in per million population. The countries with current account surpluses above 2.5% of GDP managed to limit their GDP decline below -15% and are in the same cluster. On the other hand, the countries with higher death rates and current account deficits group another cluster and saw GDP declines as above 15% except for USA and Brasil.

Keywords: Clustering; K-Means clustering; Regression Analysis; COVID-19 (search for similar items in EconPapers)
JEL-codes: C38 F32 I10 O47 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ahs:journl:v:5:y:2020:i:si:p:280-291

DOI: 10.30784/epfad.811289

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