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Table 6 Multilevel logit estimates for the probability of reporting chronic diseases –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) 1.002 1.002 1.002 0.879*** 0.879*** 0.843***
Country (level 2)       
Health care expenditure on GDP   1.084*** 1.088*** 1.086*** 1.089*** 1.090**
Healthy life expectancy   0.966*** 0.966*** 0.966*** 0.966*** 0.966*
N. of problems with migrant integration policies    1.024   1.020 1.006
N. of problems with migrant integration policies * non-EU migrant     1.052*** 1.052*** 1.043***
Interactions: non-EU migrant (citizen or born outside the EU) * individual-level variables   
Non-EU migrants * low education 1.111**
Non-EU migrants * low income 1.127**
Non-EU migrant * unemployed 0.849**
Non-EU migrant * housework       0.821**
Non-EU migrant * self employed    0.97
Non-EU migrant * not married   0.944
Non-EU migrant * divorced   1.083
Non-EU migrant * widow   1.155*
Constant 0.478*** 0.178*** 0.16952 0.174 0.167 0.126***
Sigma u 0.556*** 0.371*** 0.377*** 0.376*** 0.375*** 0.354***
Rho 0.051*** 0.041*** 0.041*** 0.041*** 0.041*** 0.037***
Chi2 51048 51051 51051 51066 51066 47000
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 340524 (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