Table 3 The Bayesian estimation results of the baseline scenario.
Parameters | Prior distribution | Prior mean | Post mean | 90% Confidence interval | |
|---|---|---|---|---|---|
\({\rho }_{{A}^{Y}}\) | Beta distribution | 0.92 | 0.9357 | 0.9296 | 0.9418 |
\({\rho }_{G}\) | Beta distribution | 0.92 | 0.9203 | 0.9128 | 0.9274 |
\({\rho }_{{A}^{T}}\) | Beta distribution | 0.8 | 0.8003 | 0.7929 | 0.8075 |
\({\rho }_{\lambda}\) | Beta distribution | 0.5 | 0.5027 | 0.4953 | 0.5101 |
\({\rho }_{\kappa }\) | Beta distribution | 0.8 | 0.8060 | 0.7988 | 0.8134 |
\({\rho }_{{s}^{FF}}\) | Beta distribution | 0.8 | 0.8047 | 0.7973 | 0.8118 |
\({\rho }_{{s}^{RE}}\) | Beta distribution | 0.8 | 0.8024 | 0.7948 | 0.8099 |
