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. Author manuscript; available in PMC: 2015 Dec 3.
Published in final edited form as: J Health Soc Behav. 2014 Sep;55(3):320–341. doi: 10.1177/0022146514541446

Table 2.

Exponentiated Coefficient from Generalized Logit Models for SRHealth1,2,3,4 – Stage 1 results

Model 1 Model 2 Model 3
VERY BAD
Country (Denmark)
Austria 0.668*** 0.751*** 0.590***
Germany 0.455*** 0.567*** 0.437***
Sweden 0.553** 0.416*** 0.378***
Netherlands 0.850* 1.207** 0.877
Spain 0.443*** 1.141 0.974
Italy 0.372*** 1.453 1.603*
France 0.665*** 0.881 0.829**
Greece 0.849* 1.634*** 1.379***
Switzerland 1.900*** 2.080*** 1.437***
Belgium 0.941 1.194* 1.222**
Age 0.943*** 0.999 1.031***
Education 0.938 1.045**
Female 0.908** 2.123***
Marital Status (Married/Partnership)
Divorced/Separated/Never married 0.896 0.983
Widowed 0.889* 1.079
ln(Income) 1.034* 1.072***
ln(Worth) 1.347*** 1.142
Employed 6.642*** 3.226***
ln(Verbal fluency) 1.480*** 1.712***
Memory 1.059*** 1.026*
Numeracy (Null)
Low 1.280** 1.273**
Medium-High 1.549*** 1.353***
Self-reported reading skills 1.240*** 1.220***
Self-reported writing skills 1.285*** 1.108**
ln(Symptoms) 0.453***
Chronic conditions 0.884**
Ever depressed (yes/no) 0.809***
ADL limitations (yes/no) 0.697***
IADL limitations (yes/no) 0.599***
Functional limitations 0.734***
Constant 264.154*** 9.490*** 46.190***

BAD
Sweden 0.663*** 0.487*** 0.458***
Italy 1.128 1.061
Age 0.990* 1.023***
Education 0.973
Employed 3.241*** 2.165***
Female 1.815***
Chronic conditions 0.804***
Constant 38.713*** 1.667*** 6.855***

FAIR
Sweden 0.756*** 0.574*** 0.565***
Italy 0.830* 0.625***
Age 0.983*** 1.012***
Education 1.028
Employed 2.204*** 1.808***
Female 1.357***
Chronic conditions 0.625***
Constant 5.656*** 0.258*** 1.042

GOOD
Sweden 1.603*** 1.412*** 1.627***
Italy 0.697*** 0.558***
Age 0.967*** 0.991*
Education 1.081***
Employed 1.377*** 1.164*
Female 1.058
Chronic conditions 0.526***
Constant 0.512*** 0.026*** 0.087***

R^2 0.0542 0.1142 0.2550
Log pseudolikelihood −31488 −29490 −24803
BIC 63169 59437 50156
N 25736 25736 25736
*

p<0.05

**

p<0.01

***

p<0.001

1

All models include control variables for survey design effects and calibrated individual weights.

2

We report robust standard errors that correct for both heteroskedasiticy and clustering (Froot, 1989; Rogers, 1993).

3

Bold-italics type indicates whether a specific coefficient is significantly different from the comparable shaded coefficient reported in the top panel.

4

The coefficients of variables that do not meet the proportionality assumption are shaded gray.