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Table 7 Predicting Cashless Payments

From: Understanding cashless payments in India

  Model 1 Model 2 Model 3 Model 4
Male 1.980a 2.008a 1.908a 1.911a
Age 1.001 1.000 1.002 1.002
Secondary 1.141 1.104 1.143 1.147
Tertiary 1.140 1.054 1.143 1.209
Income 1.266a   1.263a 1.278a
Income5   1.262a   
Income4   1.099   
Income3   1.118   
Income 2   1.424b   
Wagebank 2.284a 2.378a 1.725b  
Wage 0.712 0.731   1.002
Dormant 0.632a 0.643a 0.644a 0.622a
ATM 14.61a 14.94a 14.82a 15.01a
No of Obs 1677 1677 1677 1677
Pseudo R 0.342 0.35 0.341 0.339
Specificity 66.58% 65.31% 67.09% 66.84%
Sensitivity 87.20% 88.95% 87.94% 87.55%
Overall 82.77% 83.42% 83.06% 82.70%
ROC 0.873 0.877 0.871 0.870
  1. a denote significant at 99%, b denote significant at 95%
  2. Dependent variable is cashless (binary). All explanatory variables are binary except “Income”. Income = k; k = 1,2.,,.5 if the respondent belongs to the “k highest” 20% income bracket