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Table 4 Spatial regression model for estimating spatial association between Janani Suraksha Yojana and background factors in India, 2015–16

From: Regional inequality in the Janani Suraksha Yojana coverage in India: a geo-spatial analysis

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
  1. AIC: Akaike information criterion, OLS: Ordinary least square, SLM: Spatial lag model, SEM: Spatial error model