Skip to main content
. 2022 Jan 17;39(1):519–539. doi: 10.1016/j.ijforecast.2022.01.002

Table 2.

Log marginal likelihood for the large BVAR.

Weak SZ Strong SZ Weak SZ Strong SZ
19Q4 −6480.35 −3756.80 −3918.06 19Q4 −5915.25 −3485.19 −3695.15
20Q1 −6615.97 −3864.18 −4021.19 20Q1 −5982.10 −3539.20 −3751.03
20Q2 −6756.28 −3978.87 −4151.69 20Q2 −6062.13 −3608.26 −3810.56
20Q3 −6889.06 −4067.78 −4233.83 20Q3 −6152.90 −3717.54 −3905.92
20Q4 −6964.35 −4114.55 −4298.21 20Q4 −6190.53 −3766.41 −3957.56
21Q1 −7049.20 −4151.13 −4334.66 21Q1 −6299.66 −3807.15 −4000.44
21Q2
−7134.59
−4199.77
−4388.15
21Q2
−6323.87
−3852.67
−4045.27
(a) BVAR with Gaussian errors (b) BVAR with fat-tailed errors

Note: The bold figure indicates the maximum log marginal likelihood for each model in a selected estimation window. ‘Weak’ stands for weakly informative, and ‘SZ’ stands for Sims and Zha.