摘要：This study examines the impact of COVID-19 cases on GDP growth and Unemployment in developed countries represented by Germany, France, and Spain and developing countries represented by Mexico, Uruguay, Brazil, Turkey, and China. Various statistical tests were employed; ADF-Fisher Chi-Square for stationarity, Pedroni Cointegration test, Hausemn test, and panel granger causality test. The empirical results suggest that data from developed and developing countries are stationary at I (1). The Pedroni cointegration test revealed no long-run relationship between the dependent variables (Covid cases) and independent variables represented by GDP growth and Unemployment. The Hausman test showed that the fixed effect model is suitable for this study. The fixed effect model’s estimation suggests that there is a positive and significant association between COVID-19 with unemployment rate and GDP growth in industrialized countries. However, in developing countries, the rise in COVID cases causes a decrease in GDP growth and Unemployment. The study contribution is critically significant for policymakers and scientists to set a plan for the comprehensive economic recovery for the world after the pandemic.
关键词：COVID-19;Economic Impacts;Unemployment;Developed Economies;Developing Countries
