TY - UNPB
T1 - Severity of the covid-19 pandemic in India
T2 - the case of 3 states: Maharashtra, Jharkhand & Meghalaya
AU - Kaicker, Nidhi
AU - Imai, Katsushi S.
AU - Gaiha, Raghav
PY - 2020/8/3
Y1 - 2020/8/3
N2 - This is the first econometric analysis of severity of Covid-19 pandemic measured using two related but distinct measures of mortality up to 21 June, 2020: one is the Cumulative Severity Ratio (CSR) and the other is Daily Severity Ratio (DSR). The CSR measures the additional pressure on our fragile and ill-equipped healthcare system, and the DSR helps monitor the progression of fatalities. Another important contribution of this analysis is the use of rigorous econometric methodology: random effects models and Hausman-Taylor models. Although the rationales vary, they yield a large core of robust results. The specifications are rich and comprehensive despite heavy data constraints. The factors associated with the CSR and DSR include (lagged) Covid-19 cases, income, age, gender, multi-morbidity, urban population density, lockdown phases and their interactions with three states, Maharashtra, Jharkhand and Meghalaya, weather including temperature and rainfall and their interactions with the two state dummies. Given the paucity of rigorous econometric analyses, our study yields policy insights of considerable significance.
AB - This is the first econometric analysis of severity of Covid-19 pandemic measured using two related but distinct measures of mortality up to 21 June, 2020: one is the Cumulative Severity Ratio (CSR) and the other is Daily Severity Ratio (DSR). The CSR measures the additional pressure on our fragile and ill-equipped healthcare system, and the DSR helps monitor the progression of fatalities. Another important contribution of this analysis is the use of rigorous econometric methodology: random effects models and Hausman-Taylor models. Although the rationales vary, they yield a large core of robust results. The specifications are rich and comprehensive despite heavy data constraints. The factors associated with the CSR and DSR include (lagged) Covid-19 cases, income, age, gender, multi-morbidity, urban population density, lockdown phases and their interactions with three states, Maharashtra, Jharkhand and Meghalaya, weather including temperature and rainfall and their interactions with the two state dummies. Given the paucity of rigorous econometric analyses, our study yields policy insights of considerable significance.
KW - Covid-19
KW - Cumulative Severity Ratio
KW - Daily Severity Ratio
KW - Random-Effects Model
KW - Hausman-Taylor Model
KW - Jharkhand
KW - Maharashtra
KW - India
M3 - Discussion paper
T3 - RIEB Discussion Paper Series
SP - 1
EP - 32
BT - Severity of the covid-19 pandemic in India
PB - Kobe University
CY - Kobe, Japan
ER -
