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Table 2 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. Overall Sample (N = 36,424) B. White non-Hispanic (N = 15,407)
Private insurance 24.33***
(1.09) 		−2.13***
(0.26) 		1.27*
(0.74) 		27.45***
(1.93) 		− 2.02***
(0.37) 		0.10
(1.15)
Public insurance 17.93***
(1.30) 		0.25
(0.26) 		8.57***
(0.76) 		19.07***
(2.34) 		0.09
(0.39) 		7.19***
(1.25)
Uninsured 1 1 1 1 1 1
C. Black non-Hispanic (N = 6315) D. Hispanic (N = 10,773)
Private insurance 26.36***
(2.44) 		−4.90***
(0.69) 		2.05
(1.71) 		19.46***
(1.45) 		−1.46***
(0.46) 		2.71**
(1.13)
Public insurance 23.13***
(2.76) 		−2.00***
(0.72) 		10.10***
(1.77) 		13.62
(1.72) 		1.44***
(0.48) 		9.57***
(1.12)
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
  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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