Table 4

Results of Bayesian logistic and probit models

Bayesian logit modelBayesian probit model
Odds ratioStd. devMCSEMedianMeanStd. devMCSEMedian
Age−0.4970.4020.068−0.498−0.2260.1600.023−0.215
Gender3.5141.6130.3683.4370.7010.4420.0760.695
Level of education0.0950.190.0260.10.0640.0780.0060.066
Employment status−1.7950.5610.09−1.775−0.4720.1780.031−0.460
Income per month2.0280.6910.1252.0550.7020.2650.0180.688
Income instability5.3261.8010.2885.3362.5930.4860.0412.580
Shrinking work opportunity3.5140.8950.0973.4941.5610.3230.0321.563
Number of dependents in family2.490.8010.1292.5020.7420.3020.0620.751
Other’s financial contribution in family−2.6081.1340.228−2.597−0.9050.3700.037−0.902
savings−2.8550.8950.127−2.858−0.9230.3640.046−0.914
Comparison of household expense to pre-pandemic expense−2.3810.7580.142−2.354−0.9280.2540.026−0.918
major sources of expenditure1.5120.690.1491.4950.7880.3230.0500.787
Constant−4.8752.4340.612−5.416−3.0610.4110.069−3.087
Acceptance rate0.286   0.246   

Source(s): Authors’ own work

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