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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