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. Author manuscript; available in PMC: 2025 Sep 24.
Published in final edited form as: J Policy Model. 2023 Mar 28;45(2):233–250. doi: 10.1016/j.jpolmod.2023.03.005

Table 4.

Probit marginal effects for propensity to visit a public clinic.

Specification 1 Specification 2


Variables Marginal effect Standard error Marginal effect Standard error

Successful Ageing −0.131 *** 0.023
No Major Disease −0.126 *** 0.018
No ADL Disability −0.081 ** 0.038
High Cognitive Functioning −0.029 0.021
High Physical Functioning −0.093 *** 0.019
Actively Engaged 0.021 0.019
Female 0.164 *** 0.022 0.153 *** 0.025
Contemporary variables
Age (Base: 40 – 50)
- 51 – 60 0.026 0.024 −0.007 0.026
- 61 – 70 0.060 ** 0.026 0.024 0.029
- 71 or older 0.089 *** 0.028 0.051 0.032
Education (Base: No education)
- Low −0.005 0.019 −0.015 0.022
- Medium −0.007 0.026 0.011 0.030
- High −0.084 ** 0.033 −0.089 ** 0.037
Childhood conditions
- Parents together when born −0.024 0.032 −0.008 0.037
- Father attended school 0.005 0.023 0.004 0.025
- Child health rating 0.007 0.008 0.001 0.009
Number of observations 4182 3462

Note: Marginal effects are measured at the mean of the corresponding control variable for continuous variables, and as the difference in predicted probability of switching from 0 to 1 for dummy variables. The regressions also control for marital status, employment status, living alone, household expenditure, smoking, alcohol consumption and BMI. Robust standard errors are reported.

***

- significant at the 1% level

**

- significant at the 5% level

*

- significant at the 10% level.