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Table 4 Multilevel Poisson regression of deaths 1994-2003,a random intercept models, effects of regional variables adjusted for individual-level variables (not reported).

From: Does the socioeconomic context explain both mortality and income inequality? Prospective register-based study of Norwegian regions

  Model 2 Model 3 Model 4
  IRR 95%CI IRR 95%CI IRR 95%CI
Region-level predictors       
Gini, unit 0.05 1.105 1.059;1.152    1.138 1.048;1.236
Mean incomeb    1.007 0.980;1.036 0.977 0.946;1.008
Not large/medium city    1.00   1.00  
Oslo (capital)    1.107 1.001;1.224 0.959 0.844;1.090
Medium-size cities    0.957 0.899;1.018 0.938 0.886;0.992
Employment, education, disability, unit 5 percentage points       
- agriculture, forestry etc.    0.968 0.933;1.004 0.964 0.933;0.997
- manufacturing, mining    1.006 0.981:1.031 0.987 0.962;1.012
- banking, finance    1.112 1.029;1.202 1.116 1.041;1.195
- with higher education    0.975 0.941;1.011 0.958 0.926;0.991
- disability recipients    1.035 0.971;1.098 0.999 0.943;1.057
-2LL 149032.9   149002.9   148994.4  
Intercept Standard Deviation 0.07573 0.05889; 0.09740 0.04520 0.03352; 0.06093 0.03905 0.02858; 0.05336
  1. Gini and mean region income based on post-tax household-adjusted income
  2. a Sample 1,621,202 individuals age 30-64 (1993), grouped in 92,752 cells and 35 regions. Offset ln person-years. b Unit 10,000 NOK (Norwegian Kroner).