A Systems View Across Time and Space
Table 3 Probit regression model for the estimation of the propensity score
Dependent Variable: SHG participation Dummy (1 = participant; 0 = non-participant) | Iteration 0: log likelihood = − 521.07279 Iteration 1: log likelihood = − 375.25153 Iteration 2: log likelihood = − 374.48786 Iteration 3: log likelihood = − 374.48758 Iteration 4: log likelihood = − 374.48758 | ||||
Probit regression Log likelihood = − 374.48758 | Number of observation = 775 LR chi2 (7) = 293.17 Prob > chi2 = 0.0000 Pseudo R2 = 0.3813 | ||||
Variables | Definition | Coefficient | S. E. | Z-statistics | p >|z |
|---|---|---|---|---|---|
Age | Measured in complete years | 0.027 | 0.009 | 3.02*** | 0.003 |
Education | Total schooling in completed years | 0.011 | 0.015 | 0.75 | 0.452 |
Agricultural land holding (In Bigha) | Size of the operational land holding in Bigha | − 0.119 | 0.034 | − 3.48*** | 0.00 |
Cast | Cast of the sampled household Dummy, if SC/ST = 1, 0 otherwise | 5.042 | 0.460 | 10.95*** | 0.00 |
Religion | Dummy, if Hindu = 1, 0 otherwise | − 0.032 | 0.170 | − 0.19 | 0.852 |
Distance from Bank (in Km) | Distance of the bank measured in km | − 0.088 | 0.028 | − 3.19*** | 0.001 |
Consumption expenditure | Monthly household consumption expenditures measured in Rs | 0.002 | 0.000 | 13.78*** | 0.00 |
Constant | – | − 0.091 | 0.168 | − 0.55 | 0.585 |