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. 2020 Apr 4;6(4):e03747. doi: 10.1016/j.heliyon.2020.e03747

Table 1.

Parameter estimation of the nexus between novel coronavirus attributable deaths and confirmed cases of COVID-19.

Variable Model 1a Model 2a Model 3a Model 4a Model 5a Model 6b Model 7b
lnDeathst-1 0.8487∗∗∗ [0.0274] 0.8617∗∗∗ [0.0381] 0.8617∗∗∗ [0.0230] 0.8054∗∗∗ [0.2906] -0.3121∗∗∗ [0.0703] 0.8080∗∗∗ [0.0271]
lnConfirmedCases 0.1091∗∗∗ [0.0273] 0.0961∗∗∗ [0.0346] 0.0961∗∗∗ [0.0209] 1.7075∗∗ [0.6739] 1.0252∗∗∗ [0.3378] 0.9149∗∗∗ [0.0384] 0.1329∗∗∗ [0.0166]
constant -0.4061∗∗∗ [0.1260] -0.3425∗∗ [0.1616] -0.3425∗∗ [0.1054] -6.1673 [4.8809] -2.820∗∗∗ [0.3843]
Prob > F 0.0000∗∗∗ 0.0000∗∗∗ 0.0000∗∗∗ 0.0113∗∗ 0.0000∗∗∗ 0.0000∗∗∗ 0.0000∗∗∗
RMSE 0.1699 0.1600 0.0546 0.0877
R-squared 0.9877 0.9297 0.9865 0.6800 0.8091 0.9998
Obs 319 340 340 361 340 29 28
No of groups 21 21 21 21 21
F-test 0.0032∗∗∗ 0.0007∗∗∗
MWALD 0.0000∗∗∗
CD test 0.7075

Notes: Where [.] is the standard error; a denotes model estimation based on panel data setting; b represents modelling based on time series techniques; ∗∗∗,∗∗ represent statistical significance at 1% and 5% level. lnDeathst-1 is the lagged dependent variable, RMSE is the Root Mean Square Error, R-squared explains the predictive power of the estimated model, Obs represents observations. MWALD is the modified wald statistic and CD test examines the independence of the residuals.