Table 10.

MSE of estimates of $R_0$ for DGP (5.5)–(5.6).

	Deaths	Cases	SUR, Efficient $W$	SUR, Diagonal $W$	SUR, Identity $W$
Panel A: No Rounding, True $E_0=2$ and $I_0=0$, Assumed $E_0=2$ and $I_0=0$
Levels, Cumulative	0.0013	0.0012	0.0007	0.0006	0.0012
Levels, Daily	0.0124	0.0102	0.0050	0.0048	0.0105
Logs, Cumulative, Trim	0.0007	0.0007	0.0004	0.0004	0.0003
Logs, Daily, Trim	0.0022	0.0020	0.0012	0.0012	0.0011
Logs, Cumulative, No Trim	0.00004	0.00005	0.00002	0.00002	0.00002
Logs, Daily, No Trim	0.00004	0.00004	0.00002	0.00002	0.00002
Panel B: No Rounding, True $E_0=2$ and $I_0=0$, Estimated $E_0$ and $I_0$
Levels, Cumulative	0.0013	0.0012	0.0007	0.0008	0.0017
Logs, Cumulative, Trim	0.0007	0.0007	0.0005	0.0006	0.0003
Logs, Cumulative, No Trim	0.00007	0.00008	0.00004	0.00004	0.00003
Panel C: Rounding, True $E_0=2$ and $I_0=0$, Assumed $E_0=2$ and $I_0=0$
Levels, Cumulative	0.009	0.001	0.002	0.001	0.001
Levels, Daily	0.013	0.010	0.005	0.005	0.011
Logs, Cumulative, Trim	0.019	0.001	0.002	0.002	0.005
Logs, Daily, Trim	0.007	0.002	0.002	0.002	0.002
Logs, Cumulative, No Trim	0.457	0.002	0.001	0.002	0.124
Logs, Daily, No Trim	0.079	0.001	0.001	0.001	0.020
Panel D: Rounding, True $E_0=2$ and $I_0=0$, Estimated $E_0$ and $I_0$
Levels, Cumulative	0.009	0.001	0.002	0.003	0.002
Logs, Cumulative, Trim	0.019	0.001	0.002	0.003	0.005
Logs, Cumulative, No Trim	0.459	0.002	0.001	0.002	0.125

The table presents the MSE of the estimates of $R_0$ across 500 simulation draws for different estimation methods. The estimates in the first column are based on the deaths data only. The estimates in the second column are based on the reported cases data only. The estimates in the remaining three columns combine the deaths and reported cases data and use different weighting matrices.