Positive cases and the death of COVID-19 pandemic at different quantiles: The determinants

• Main Authors: Duasa, Jarita, Mohamed Noor, Siti Fatimah
• Format: Article
• Language: English
• Published: CFA Institute 2021
• Subjects: HA154 Statistical data; HA29 Theory and method of social science statistics; RA Public aspects of medicine; RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020
• Online Access: http://irep.iium.edu.my/92111/7/92111_Positive%20cases%20and%20the%20death%20of%20COVID-19%20pandemic.pdf; http://irep.iium.edu.my/92111/; https://www.arx.cfa/-/media/regional/arx/post-pdf/2021/04/22/positive-cases-and-the-death-of-covid-19-pandemic-at-different-quantiles.ashx?sc_lang=en&hash=C046E06B77BF0867B1578902781D6904

Purpose The present study aims to investigate factors that might significantly contribute to the number of positive cases and death from pandemic COVID19 in most affected countries in the world. Design/methodology/approach Cross-section data are collected of affected countries and in contrast to a simple linear regression method, this study employs rigorous statistical tool namely a quantile regression method to examine the impact of these factors. Findings The empirical results from the analysis show that at different quantiles, there are an increasing number of positive cases among developed countries but only at lower quantiles of the number of positive cases. Government health expenditure significantly contributes to the number of death cases from the pandemic at higher quantiles of death number distribution. Besides, the ageing population also provides the number of death cases from the pandemic, particularly at lower and middle quantiles of the death toll. Originality The study adopts quantile regression that can explain the asymmetric effects of the predictor variables on the dependent variable at various quantiles in a population.