Table 1.
Individual | Household | Difference | |
(1) | (2) | (3) | |
No of households | 1215 | 1216 | −1 |
No of households by project | |||
World Vision (in Bihar) | 316 | 313 | 3 |
Coastal Salinity Prevention Cell (in Gujarat) | 309 | 319 | −10 |
Wateraid (in Karnataka) | 297 | 296 | 1 |
Rural Welfare Institute (in Odisha) | 293 | 288 | 5 |
Household members | 5.685 (0.0950) | 5.604 (0.101) | 0.0803 (−0.117 to 0.278) |
Female | 0.491 (0.00485) | 0.489 (0.00490) | 0.00190 (−0.0115 to 0.0153) |
Hindu | 0.967 (0.00882) | 0.960 (0.0102) | 0.00737 (−0.00383 to 0.0186) |
Household head completed at least 8 years of schooling | 0.288 (0.0192) | 0.319 (0.0199) | −0.0310 (−0.0675 to 0.00552) |
Count of assets (max 13) | 8.202 (0.111) | 8.234 (0.117) | −0.0327 (−0.196 to 0.130) |
Has latrine | 0.943 (0.00795) | 0.946 (0.00781) | −0.00251 (−0.0215 to 0.0165) |
Got help from government or NGO to build toilet (given has toilet) | 0.625 (0.0304) | 0.656 (0.0274) | −0.0309 (−0.0692 to 0.00747) |
Pit size (cubic feet, given has toilet) | 179.0 (14.33) | 180.7 (14.27) | 1.666 (−25.94 to 22.61) |
Toilet looks used (given has toilet) | 0.805 (0.0234) | 0.794 (0.0233) | 0.0103 (−0.0243 to 0.0450) |
Cluster robust SEs, clustered by village, next to means in columns 1 and 2. 95% CI next to differences in column 3. *P<0.05, **p<0.01.
None of the differences are significant at the 0.05 or 0.01 level, which is why there are no * or ** in the table.