Australia and New Zealand Health Policy

Table 5 Probit results and marginal effects for Model 3

From: Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales

	High Risk (age 50 – 69)		Non High Risk (age 40 – 49)		Non High Risk (age 70 – 79)
	Coefficient	Marginal effect	Coefficient	Marginal effect	Coefficient	Marginal effect
Income ($'00/wk)	0.344 *	0.015 #	0.404 *	0.012	1.466	0.104 #
Income squared	-0.050 *		-0.041 *		-0.282	-0.007
Non Australian born	-0.268 *	-0.069 #	-0.045	-0.018	-0.019	-0.087
Aboriginal	-0.200	-0.131 #	-0.152	-0.076	-0.204
Central Sydney	-0.233	-0.059 #	-0.004	-0.001	-0.253	-0.099
South Eastern Sydney	-0.271 *	-0.070 #	0.026	0.010	0.081	0.030
South Western Sydney	-0.503 *	-0.143 #	-0.170	-0.066	-0.208	-0.081
Wentworth	-0.412 *	-0.113 #	-0.027	-0.011	0.066	0.025
Western Sydney	-0.291 *	-0.076 #	-0.179	-0.069	-0.237	-0.092
Central Coast	-0.183	-0.045	-0.079	-0.031	0.029	0.011
Far West	-0.305 *	-0.080 #	0.074	0.029	-0.159	-0.061
Greater Murray	-0.234 *	-0.059 #	-0.048	-0.019	-0.297	-0.116 #
Macquarie	-0.543 *	-0.157 #	-0.194	-0.075	-0.239	-0.093
Mid North Coast	-0.227 *	-0.057 #	0.170	0.067	-0.147	-0.057
Mid Western	-0.658 *	-0.197 #	-0.108	-0.042	-0.423 *	-0.166 #
New England	-0.239 *	-0.057 #	-0.299 *	-0.012	-0.058	-0.101
Northern Rivers	-0.225 *	-0.061 #	-0.030	-0.113 #	-0.259	-0.022
Southern	-0.254 *	-0.065 #	-0.269 *	-0.103 #	-0.349 *	-0.137 #
Hunter	-0.086	-0.020	0.354 *	0.140 #	0.061	0.023
Illawarra	-0.334 *	-0.088 #	-0.173	-0.067	-0.424 *	-0.167 #
Constant	0.500 *		-1.148 *		-1.510
Log L	-3022.030		-2484.780		-1372.700
Observations	5482		3785		2041
Pseudo R²	0.026		0.017		0.019

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