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Table 4 Alternative Specifications, 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. Emergency Visits Only Added to Other Category (N = 36,424) B. ≤133% FPL (N = 7707)
Private insurance 2.43***
(1.1) 		  1.3*
(0.7) 		21.2***
(2.1) 		−4.2***
(1.1) 		3.2*
(1.9)
Public insurance 1.73***
(1.3) 		  8.5***
(0.8) 		19.4***
(1.9) 		−1.1
(0.7) 		12.5***
(1.6)
Uninsured 1 1 1 1 1 1
  C. 133 to 400% FPL (N = 15,466) D. > 400% FPL (N = 13,251)
Private insurance 21.8***
(1.5) 		−1.3***
(0.4) 		0.025**
(1.1) 		0.205***
(0.026) 		−1.3***
(0.3) 		2.5
(1.6)
Public insurance 14.2***
(2.0) 		0.9*
(0.5) 		8.3***
(1.2) 		16.9***
(4.4) 		−0.5
(0.7) 		4.0*
(2.2)
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. FPL, federal poverty level
  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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