Table 4.
Spatial regression model for estimating spatial association between Janani Suraksha Yojana and background factors in India, 2015–16
| Variables | OLS (p-value) | SLM (p-value) | SEM (p-value) |
|---|---|---|---|
| Age (Less than 25 years) (%) | −0.614 (0.000) | −0.317 (0.000) | −0.293 (0.000) |
| Met with CHW (%) | 0.341 (0.000) | 0.248 (0.000) | 0.290 (0.000) |
| No schooling (%) | 0.206 (0.004) | 0.156 (0.000) | 0.216 (0.000) |
| Poor wealth quintile (%) | 0.637 (0.000) | 0.245 (0.000) | 0.439 (0.000) |
| Rural place of residence (%) | 0.035 (0.350) | 0.034 (0.165) | −0.017 (0.601) |
| Scheduled Caste/Scheduled Tribe (%) | 0.008 (0.809) | 0.024 (0.306) | 0.028 (0.367) |
| Hindu (%) | 0.044 (0.134) | 0.027 (0.187) | 0.069 (0.032) |
| No mass media exposure (%) | −0.094 (0.274) | −0.025 (0.670) | − 0.037 (0.607) |
| N(Sample) | 640 | 640 | 640 |
| Rho | 0.67 (0.000) | ||
| Lambda | 0.80 (0.000) | ||
| AIC | 5394.5 | 5004.2 | 4996.4 |
| Adjusted R | 0.54 | 0.78 | 0.79 |
AIC: Akaike information criterion, OLS: Ordinary least square, SLM: Spatial lag model, SEM: Spatial error model