. 2015 May 29;15:210. doi: 10.1186/s12913-015-0871-7

Table 3.

Income and the probability of getting reimbursement

Dependent Variable: Reimbursement Dummy (1 = yes, 0 = no)
Probit models	P1	P2	P3	P4
	Three waves with NCMS	Pre-reform	Post-Reform	Three waves, with interaction terms
Years	2006, 2009, 2011	2006	2009, 2011	2006, 2009, 2011
Non-transfer income (ln)^a	0.031^e	0.150^c	0.018	0.144^c
	−1.831	−3.364	−1.009	−3.556
(Reform dummy) x (Non-transfer income) interaction term^a				−0.135^c
				(−3.091)
Transfer income^a	0.021^d	0.077^c	0.015	0.021^d
	−2.344	−2.894	−1.483	−2.312
2009 dummy	1.153^c		.	2.096^c
	−18.436		.	−6.699
2011 dummy	0.832^c		−0.285^c	1.777^c
	−11.879		(−6.115)	−5.641
NCMS member dummy	0.794^c	1.937^c	0.470^c	0.800^c
	−8.033	−4.988	−3.725	−8.051
SRHS = 2 dummy	0.012	0.006	0.01	0.015
	−0.237	−0.044	−0.18	−0.311
SRHS = 3 dummy	0.240^c	0.389^c	0.213^c	0.244^c
	−4.51	−2.827	−3.659	−4.583
SRHS = 4 dummy	0.348^c	0.126	0.929^c	0.281^c
	−4.082	−1.033	−2.957	−3.2
N	5461	1720	3741	5461
Chi-squared ^b	1187.029	228.64	434.017	1196.728
P-stat ^b	0.000	0.000	0.000	0.000

Puding panel data excluding 2004 (pre-NCMS). Sample restricted to those who sought treatment. All specifications include controls for sex, age, education, marital status, minority status, farmer status, household size, village, place of diagnostic and type of treatment used this year. SRHS = self-reported health status, see Table 2. ^a: Transfer refers to income received under any local or national governmental programs other than NCMS. ^b: Overall model fit statistics. ^{c, d, e:} Significantly different from zero at the 0.01, 0.05 and 0.1 level, respectively