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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