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Table 5 Logistic regression on the probability of being unemployed. Explanations for the ethnic gap between natives and immigrants settled in France

From: How much can you take with you? The role of education in explaining differences in the risk of unemployment between migrants and natives

  Quality
(M1)
Quality (decile)
(M2)
Country specific
(M3)
Adaptation
(M4)
Native (ref.)
 Immigrant −0.446 − 0.394 0.337 − 0.943*
(0.516) (0.516) (0.252) (0.524)
Primary education (ref.)
 Secondary −0.111 −0.128   −0.227
(0.297) (0.299)   (0.304)
 Tertiary −0.788** −0.794** − 0.663*** − 1.092***
(0.327) (0.325) (0.134) (0.334)
Ethnic origin#Education
 Immigrant#Secondary 0.788 0.771   0.948*
(0.569) (0.570)   (0.572)
 Immigrant#Tertiary 1.734*** 1.669*** 0.924** 1.907***
(0.634) (0.638) (0.443) (0.637)
Age −0.041*** −0.041*** − 0.042***  
(0.004) (0.004) (0.004)  
Men (ref.)
 Women 0.212** 0.208** 0.249** 0.214**
(0.099) (0.099) (0.102) (0.099)
Numeracy −0.004***   −0.004*** − 0.004**
(0.001)   (0.001) (0.002)
Numeracy decile 1 (ref.)
 Decile 2   −0.136   
  (0.215)   
 Decile 3   −0.358   
  (0.220)   
 Decile 4   −0.328   
  (0.219)   
 Decile 5   −0.476**   
  (0.230)   
 Decile 6   −0.386*   
  (0.222)   
 Decile 7   −0.444*   
  (0.230)   
 Decile 8   −0.351   
  (0.232)   
 Decile 9   −0.736***   
  (0.256)   
 Decile 10   −0.804***   
  (0.267)   
Sciences    1.348  
   (1.227)  
 Sciences#Numeracy    −0.005  
   (0.004)  
Time in LM     −0.049**
    (0.019)
 Time#Numeracy     0.000
    (0.000)
 Constant 0.571 0.055 0.444 0.058
(0.414) (0.364) (0.349) (0.532)
Observations 4,621 4,621 4,417 4,621
  1. Standard errors in parentheses
  2. *** p < 0.01, ** p < 0.05, * p < 0.1