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Table 5 Probit regression results for forgone care

From: Forgone care and financial burden due to out-of-pocket payments within the German health care system

Variables

Model 1 Marginal effects

Model 2 Marginal effects

Age 50-591

−0.022*

−0.002

 

(0.012)

(0.013)

Age 60-69

−0.033***

−0.018

 

(0.012)

(0.012)

Age 70-79

−0.029**

−0.024**

 

(0.011)

(0.01)

Men2

−0.004

0.006

 

(0.008)

(0.008)

1. Quintile3

0.077***

0.056***

 

(0.022)

(0.02)

2. Quintile

0.045**

0.033**

 

(0.02)

(0.018)

3. Quintile

0.049***

0.042***

 

(0.02)

(0.019)

4. Quintile

0.033**

0.031

 

(0.02)

(0.017)

1-2 chronic diseases4

 

0.026**

  

(0.011)

≥3 chronic diseases

 

0.035**

  

(0.018)

1-2 acute health problems5

 

−0.01

  

(0.09)

≥3 acute health problems

 

−0.014

  

(0.013)

Depressive Symptoms6

 

0.045***

  

(0.011)

ADL7

 

0.02

  

(0.015)

SAH < good8

 

0.014

  

(0.009)

Low education9

 

0.009

  

(0.013)

Intermediate education

 

−0.007

  

(0.01)

SHI10

 

0.009

  

(0.012)

N

2851

2851

Likelihood Ratio Chi2

26.69

102.00

Prob > chi2

0.001

0.000

Pseudo R2

0.021

0.078

  1. Reference categories: 1Age > 80 2Women 35. Quintile 4no chronic diseases 5no acute health problems 6no depressive symptoms 7no limitations in activities of daily living (ADL) 8self-assessed health (SAH) ≥ good 9high education 10privately insured.
  2. Standard errors in parentheses.
  3. ***p < 0.01, **p < 0.05, *p < 0.1.