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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