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Table 3 Probit results and marginal effects for Models 1 and 2

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

 

Model 1

Model 2

 

All (age 40 – 79)

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

Coefficient

Marginal effect

Dummy age 40–49

-1.010 *

-0.373 #

-

-

-

-

-

-

Dummy age 70–79

-0.473 *

-0.161 #

-

-

-

-

-

-

Income ($'00/wk)

0.248 *

0.021 #

0.350 *

0.023 #

0.398 *

0.013 #

1.517

0.118

Income squared

-0.027 *

 

-0.048 *

 

-0.040 *

 

-0.288

 

Non Australian born

-0.174 *

-0.054 #

-0.286 *

-0.091 #

-0.079

-0.031 #

0.021

-0.008

Aboriginal

-0.196

-0.123 #

-0.234

-0.177

-0.145

-0.085

-0.207

-0.091

Constant

0.265 *

-

0.213

-

-1.171 *

-

-1.713

 

Log L

-6,980.4

-3,059.1

-2,514.5

-1,389.5

Observations

11,308

5,482

3,785

2,041

Pseudo R2

0.091

0.014

0.005

0.0073

  1. Notes:
  2. * Coefficient significant at the 5% levelM
  3. # Marginal effect sigificant at the 5% level