Skip to main content
. Author manuscript; available in PMC: 2016 May 1.
Published in final edited form as: Med Care. 2015 May;53(5):463–470. doi: 10.1097/MLR.0000000000000341

Table 3.

Demographic Characteristics & Estimation Results from Multinomial Logit Model Estimation (Coefficients and Marginal Effects)

Descriptive
statistics
Outcome = In Both Outcome = Self-report
only
Outcome = Part D only
N=2,905
people
Coefficient Marginal
Effect (%)
Coefficient Marginal
Effect (%)
Coefficient
(Reference)
Marginal Effect
(%)
Age 73.8
(5.4)
0.001
(0.011)
0.1
(0.1)
−0.006
(0.013)
−0.1
(0.1)
0.1
(0.1)
Gender & Veteran Status
  Female 1,844
(63.5%)
Referent group
  Male Non-Vet 507
(17.5%)
−0.197
(0.139)
−3.1
(1.9)
−0.041
(0.169)
1.6
(1.5)
1.5
(1.2)
  Male Vet 554
(19.1%)
−0.149
(0.163)
−11.2***
(2.2)
0.621**
(0.191)
11.3***
(2.1)
0.2
(1.3)
Site : Race
Minneapolis:White 534
(18.4%)
Referent group
Washington:White 846
(29.1%)
−0.757***
(0.184)
−6.4***
(2.0)
−0.576**
(0.217)
1.3
(1.7)
5.0***
(1.3)
Forsyth:White 611
(21.0%)
−0.585**
(0.188)
−7.0***
(2.0)
−0.246
(0.220)
3.7*
(1.8)
3.3**
(1.2)
Forsyth:Black 72
(2.5%)
−1.412***
(0.297)
−19.5***
(4.9)
−0.632
(0.331)
8.5*
(4.0)
11.0***
(3.4)
Jackson:Black 842
(29.0%)
−1.045***
(0.168)
−11.9***
(1.9)
−0.596**
(0.198)
4.4**
(1.7)
7.5***
(1.2)
GDDP Status
  Non-GDDP Referent group
  GDDP 0.361***
(0.108)
3.9**
(1.3)
0.238
(0.128)
−1.1
(1.1)
−2.9**
(0.9)
Intercept 2.575**
(3.23)
1.093
(1.13)

For column 1, Presented as “count (%)” except for age (which has mean and standard deviation).

Standard errors are in parentheses below coefficients and marginal effects.

*

p<0.05,

**

p<0.01,

***

p<0.001