Variables | NOC | NIC | ||||
All | Urban | Rural | All | Urban | Rural | |
URRMI×After | −0.191 (0.151) | −0.185 (0.191) | −0.271** (0.247) | 0.165 (0.240) | −0.139 (0.411) | 0.320 (0.302) |
URRMI | −0.402*** (0.115) | −0.491*** (0.185) | −0.404*** (0.149) | −0.322* (0.193) | −0.359 (0.315) | −0.318 (0.252) |
After | 0.029 (0.086) | −0.111 (0.149) | 0.092 (0.107) | 0.668*** (0.129) | 0.662*** (0.232) | 0.672*** (0.156) |
Covariates | Yes | Yes | Yes | Yes | Yes | Yes |
Province-level fixed effects | Yes | Yes | Yes | Yes | Yes | Yes |
Community-level fixed effects | Yes | Yes | Yes | Yes | Yes | Yes |
Constant | 0.087 (0.524) | 0.387 (0.917) | 0.066 (0.694) | 0.799 (0.693) | 1.396 (1.198) | 0.228 (0.924) |
R2/pseudo R2 | 0.022 | 0.030 | 0.025 | 0.063 | 0.073 | 0.063 |
Number of observations | 25 506 | 8009 | 17 497 | 25 506 | 8005 | 17 501 |
Robust SEs in parentheses.
Constant represents beta-1, ‘URRMI’ represents beta-2, ‘After’ represents beta-3 and ‘URRMI×After’ represents delta (DID value) in equation (2).
Coefficient value and SEs are estimated by logistic regression.
***P<0.01; **p<0.05; *p<0.1.
NIC, need-but-not inpatient care; NOC, need-but-not outpatient care; PSM-DID, propensity score matching and difference-in-differences regression approach; URRMI, urban and rural resident medical insurance.