Table 7

Bayesian regression results

VariablesGDP
PM [95% C.I]
INF
PM [95% C.I]
UNE
PM [95% C.I]
TB
PM [95% C.I]
1. Main effect
PD−0.15 [−0.48, 0.18]−0.07 [−0.39, 0.26]0.37 [0.06, 0.68]0.03 [−0.29, 0.36]
2. Controlling effect
PD0.21 [−0.44, 0.92]0.26 [−0.42, 0.93]0.13 [−0.12, 0.37]0.36 [−0.11, 0.81]
EDE0.45 [−0.55, 1.43]−0.11 [−1.14, 0.91]0.52 [0.11, 0.91]−1.06 [−1.76, −0.35]
DDR−1.58 [−2.74, −0.30]0.18 [−0.92, 1.34]−0.35 [−1.04, 0.29]0.84 [−0.21, 1.93]
DSDR−0.06 [−1.37, 1.19]−0.31 [−1.57, 0.91]0.53 [0.08, 1.04]0.30 [−0.48, 1.19]
IGDP0.24 [−0.65, 1.16]0.76 [−0.12, 1.64]0.50 [0.26, 0.74]0.02 [−0.48, 0.53]
IDR0.56 [−0.82, 1.99]−0.30 [−1.66, 1.03]0.03 [−0.52, 0.61]0.40 [−0.77, 1.26]
NIR1.14 [0.06, 2.11]0.27 [−0.80, 1.27]−0.39 [−0.73, −0.03]0.34 [−0.33, 1.06]
3. Interaction effect
PD0.39 [−0.02, 0.88]0.35 [0.05, 0.64]0.04 [−0.26, 0.37]−0.24 [−0.80, 0.22]
PD × EDE−20.15 [−25.6, −15.4]−26.99 [−49.3, −3.99]−7.16 [−20.04, 5.53]1.20 [−21.2, 20.9]
PD × DDR−31.23 [−41.1, −21.3]44.71 [36.26, 52.92]25.48 [18.54, 32.30]−37.87[−53.9, −22.5]
PD × DSDR5.56 [−1.17, 12.0]−14.39 [−21.6, −6.62]8.60 [3.25, 13.84]1.59 [−6.65, 10.34]
PD × IGDP−13.69 [−18.3, −8.81]−7.49 [−16.1, 1.06]6.75 [3.06, 10.66]3.63 [−1.25, 8.97]
PD × IDR28.78 [17.92, 40.40]−32.46 [−36.2, −28.5]−35.23 [−39.7, −31.2]33.60[23.35, 44.89]
PD × NIR15.95 [5.01, 26.96]−39.04 [−46.9, −31.2]2.60 [−5.20, 9.36]−2.63 [−14.76, 8.39]
MCMC Simulation DiagnosticsValue (step 1)Value (step 2)Value (step 3)
Acceptance rate0.3510.3550.367
Min efficiency0.1230.0110.011
Max efficiency0.1510.0380.031
Average efficiency0.1320.0200.021
MCMC Convergence Diagnostics   
Gelman–Rubin Rc1.0011.0441.024

Note(s): PM = Posterior Mean and C.I. = Credible Interval

Source(s): Authors’ computation, 2025

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