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Table 4 Multilevel ordered logit estimates - probability of reporting poor/very poor/fair/good/very good health– Year: 2012a

From: Migrant integration policies and health inequalities in Europe

Variables Model 1 Model 2 Model 3 Model 4 Model 5 Model 6
Individual (level 1)       
Non-EU migrant (citizen or born outside the EU) 1.135*** 1.166*** 1.114*** 1.064* 1.073** 0.988
Country (level 2)       
Health care expenditure on GDP   0.882*** 0.928*** 0.892*** 0.894*** 0.871***
Healthy life expectancy   0.929*** 0.942*** 0.948*** 0.946*** 0.946***
N. of problems with migrant integration policies    1.010***   1.040*** 1.010***
N. of problems with migrant integration policies * non-EU migrant     1.035*** 1.025** 1.038***
Interactions: non-EU migrant (citizen or born outside the EU) * individual-level variables       
Non-EU migrants * low education       1.225***
Non-EU migrants * low income       1.068*
Non-EU migrant * unemployed       0.845***
Non-EU migrant * housework       0.943
Non-EU migrant * self employed       1.028
Non-EU migrant * not married       1.026
Non-EU migrant * divorced       1.005
Non-EU migrant * widow       0.756*
Cut1 1.082 0.006*** 0.018*** 0.029*** 0.021*** 0.001***
Cut2 16.157*** 0.085*** 0.272*** 0.445*** 0.317*** 0.015***
Cut3 107.077*** 0.568*** 1.811*** 2.954*** 2.108*** 0.095***
Cut4 688.125*** 3.641*** 11.663*** 18.998*** 13.566*** 0.588***
Sigma2 u 1.084*** 1.359*** 1.085*** 1.176*** 1.115*** 1.090***
Chi2 98000 110000 110000 110000 110000 98000
N. of countries 23 (AT BG CH DE DK EE EL ES FI FR HR HU IT LT LU LV MT NL PT RO SE SK)
N. of observations 332011 (all models)
  1. Legend: * p < 0.05; ** p < 0.01; *** p < 0.001
  2. AT Austria, BG Bulgaria, CH Switzerland, DE Germany, DK Denmark, EE Estonia, EL Greece, ES Spain, FI Finland, FR France, HR Croatia, HU Hungary, IT Italy, LT Lithuania, LU Luxembourg, LV Latvia, MT Malta, NL The Netherlands, PT Portugal, RO Romania, SE Sweden, SK Slovak Republic, UK United Kingdom
  3. aOdds ratios. Estimates obtained by controlling for individuals age, gender, education, individual income, occupational status, marital status
  4. Source: our calculation based on Eurostat [21, 27], OECD [26] data for 2012 and on MIPEX [25] data