Table 2

Results of linear probability models on patient healthcare choice

	DID	Heterogenous DID	Using treatment only and control only patients	IPTW
	Model 1 β(SE)	Model 2 β(SE)	Model 3 β(SE)	Model 4 β(SE)
Month Dummies	Yes	Yes	Yes	Yes
Disease Dummies	Yes	Yes	Yes	Yes
Patient Fixed Effect	Yes	Yes	Yes	Yes
Post	0.0235 (0.003)†	0.0235 (0.003)†	0.0238 (0.004)†	0.0236 (0.004)†
Treat	−0.3722 (0.277)	−0.3738 (0.276)	–-	−0.4257 (0.305)
Post×Treat	−0.0299 (0.004)†	−0.0267 (0.004)†	−0.0270 (0.004)†	−0.0268 (0.004)†
Post×Treat×Male	–	−0.0025 (0.001)*	−0.0026 (0.001)*	−0.0025 (0.001)*
Post×Treat×Low-Income	–-	0.0037 (0.002)*	0.0035 (0.002)*	0.0039 (0.002)*
Post×Treat×High-Income	–-	−0.0005 (0.001)	−0.0005 (0.001)	0.0005 (0.001)
Post×Treat×Seoul Metro. Area	–-	−0.0052 (0.001)††	−0.0052 (0.001)†	−0.0052 (0.001)†
R-square	0.006	0.006	0.006	0.006
Number of observations	714 801	714 801	699 867	714 801
F-statistics	84.22†	77.49†	77.57†	79.21†

The full estimation results are available in online supplemental material D.
*P<0.05.
†P<0.001.
DID, difference-in-difference; IPTW, inverse probability of treatment weighting.