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Table 3 Medical Treatment Regression Analysis, Multinomial Logistic Regression Analysis

From: Effects of health insurance on patient demand for physician services

 

Routine

Visits Only a

Emergency

Visits Only b

Mixture

of Visits c

Routine

Visits Only a

Emergency

Visits Only b

Mixture

of Visits c

Coefficient

(1)

(2)

(3)

(4)

(5)

(6)

 

A. Hypertension (N = 10,425)

B. CHDS (N = 3759)

Private insurance

18.68***

(1.52)

−3.09***

(0.45)

0.68

(1.25)

16.04***

(2.73)

−3.80***

(0.85)

1.33

(2.44)

Public insurance

10.66***

(1.75)

−0.88**

(0.44)

12.86***

(1.27)

5.92**

(3.00)

− 1.40*

(0.74)

16.04***

(2.47)

Uninsured

1

1

1

1

1

1

 

C. Diabetes Mellitus (N = 2945)

D. Cancer (N = 2013)

Private insurance

11.18***

(2.76)

−1.83**

(0.77)

−2.02

(2.46)

14.19 ***

(4.20)

− 2.33***

(0.86)

−0.69

(3.70)

Public insurance

−0.07

(3.04)

−0.70

(0.75)

13.92***

(2.47)

5.29

(4.68)

− 1.85**

(0.93)

11.96***

(3.85)

Uninsured

1

1

1

1

1

1

  1. Notes: The multinomial logistic regression coefficients have been converted into marginal effects to improve interpretability. Standard deviations are reported in parentheses. All regressions include individual controls and time trends. The reference category is uninsured respondents. CHDS, coronary heart disease and stroke
  2. a Routine visits only, 2+ routine office based visits only
  3. b Emergency visits only, 2+ emergency room visits only
  4. c Mixture of visits, 2+ routine and emergency room only
  5. *Significant at 10% confidence level
  6. **Significant at 5% confidence level
  7. ***Significant at 1% confidence level
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Health Economics Review

ISSN: 2191-1991

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