Table 3.

Parameter estimates of segmented regression analysis models of the effects of TSL implementation on inequality in healthcare financing (Kakwani index) in Iran, 1988-2014 (year of intervention, 2010)

Models	Explanatory variables								Goodness of fit			Residual tests
	Intercept	Tbefore	CCafter	TCafter	lGDP	IMR	PoU60	InR	F	R-2	RMST	ST	NO	DW	B-P
A	-0.02	0.01	0.01	-0.01	0.00	0.00	-0.06	0.00	5.95	0.69	0.01	-5.20	0.78	2.16	0.37
p-value	0.95	0.33	0.67	0.53	0.98	0.91	0.17	0.13	<0.001				<0.001		0.54
B	0.02	0.01	0.01	-0.01	-	0.000	-0.06	0.00	7.31	0.59	0.01	-5.20	0.78	2.16	0.38
p-value	0.94	0.32	0.62	0.37	-	0.91	0.16	0.12	<0.001				<0.001		0.54
C	0.48	0.01	0.01	-0.01	-	-	-0.06	0.00	9.20	0.61	0.01	-5.19	0.78	2.15	0.34
p-value	0.57	0.06	0.55	0.27	-	-	0.14	0.11	<0.001				<0.001		0.52
D	-0.07	0.00	0.01	0.00	-	-	-	0.00	31.17	0.73	0.01	-4.77	0.81	1.97	0.56
p-value	<0.001	<0.001	0.36	0.70	-	-	-	0.05	<0.001				<0.001		0.45
E	-0.05	0.00	0.01	0.00	-	-	-	-	11.68	0.55	0.01	-3.37	0.84	1.62	0.33
p-value	<0.001	<0.001	0.41	0.81	-	-	-	-	<0.001				<0.001		0.56

TSL, Targeted Subsidies Law; T_before, time trend before intervention; CC_after, intercept changes after intervention; TC_after, trend changes after the intervention; lGDP, log gross domestic product; IMR, infant mortality rate; PoU60, proportion of the population 60 years old; InR, inflation rate; R_MST, restricted mean survival time; DF, stationary of residuals with the Dicky-Fuler test; NO, normality of residuals with the Shapiro-Wilk W test; DW, Durbin-Watson test for autocorrelation; B-P, Breusch-Pagan test for heteroscedasticity.