Table 6 Logistic regression on the probability of being unemployed. Explanations for the ethnic gap between natives and immigrants settled in UK
Quality (M1) | Quality (decile) (M2) | Country specific (M3) | Adaptation (M4) | |
|---|---|---|---|---|
Native (ref.) | ||||
Immigrant | −0.451 | −0.231 | −0.557* | −0.965** |
(0.454) | (0.447) | (0.309) | (0.461) | |
Primary education (ref.) | ||||
Secondary | −0.362** | −0.331** | −0.637*** | |
(0.147) | (0.149) | (0.159) | ||
Tertiary | −0.834*** | −0.826*** | − 0.475*** | −1.333*** |
(0.171) | (0.172) | (0.113) | (0.184) | |
Ethnic origin#Education | ||||
Immigrant#Secondary | −0.088 | −0.261 | 0.154 | |
(0.546) | (0.540) | (0.546) | ||
Immigrant#Tertiary | 0.937* | 0.750 | 1.040*** | 1.299** |
(0.514) | (0.511) | (0.393) | (0.516) | |
Age | −0.046*** | −0.046*** | − 0.042*** | |
(0.004) | (0.004) | (0.004) | ||
Men (ref.) | ||||
Women | −0.318*** | −0.310*** | − 0.348*** | −0.358*** |
(0.088) | (0.088) | (0.094) | (0.088) | |
Numeracy | −0.010*** | −0.011*** | −0.010*** | |
(0.001) | (0.001) | (0.001) | ||
Numeracy decile 1 (ref.) | ||||
Decile 2 | −0.534*** | |||
(0.169) | ||||
Decile 3 | −0.897*** | |||
(0.176) | ||||
Decile 4 | −0.892*** | |||
(0.177) | ||||
Decile 5 | −1.183*** | |||
(0.187) | ||||
Decile 6 | −1.205*** | |||
(0.189) | ||||
Decile 7 | −1.375*** | |||
(0.192) | ||||
Decile 8 | −1.582*** | |||
(0.208) | ||||
Decile 9 | −1.435*** | |||
(0.204) | ||||
Decile 10 | −1.716*** | |||
(0.220) | ||||
Sciences | −0.830 | |||
(0.801) | ||||
Sciences#Numeracy | 0.004 | |||
(0.003) | ||||
Time in LM | −0.065*** | |||
(0.018) | ||||
Time#Numeracy | 0.000 | |||
(0.000) | ||||
Constant | 2.681*** | 1.234*** | 2.415*** | 2.062*** |
(0.299) | (0.229) | (0.325) | (0.376) | |
Observations | 6,106 | 6,106 | 5,572 | 6,106 |