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Table 5 Estimation results of Probit models and marginal effects

From: Immigrants and Italian labor market: statistical or taste-based discrimination?

  Model 1 Model 2 Model 3 Model 4 Model 5
  All Italian Immigrant First generation Second generation
  Coeff. Coeff. Coeff. Coeff. Coeff.
Italian 0.65***
(0.22***)
        
Woman − 0.45***
(− 0.15***)
− 0.59***
(− 0.23***)
− 0.43***
(− 0.14***)
− 0.39***
(− 0.12***)
− 0.47***
(− 0.17***)
Graduate 0.23***
(0.08***)
0.34*
(0.13*)
0.22***
(0.07***)
0.12
(0.04)
0.32***
(0.11***)
High school 0.15***
(0.05***)
0.15
(0.06)
0.15**
(0.05***)
0.03
(0.01)
0.26***
(0.09***)
Front office − 0.16***
(− 0.05***)
0.05
(0.02)
− 0.18***
(− 0.06***)
− 0.34***
(− 0.10***)
− 0.06
(− 0.02)
North-center 0.07
(0.02)
− 0.02
(− 0.11)
0.08
(0.03)
0.25**
(0.07***)
− 0.05
(− 0.02)
Constant 0.49*** 0.20 − 0.50*** − 0.66*** − 0.37***
Pseudo R2 0.046 0.047 0.029 0.035 0.035
Log likelihood − 2933.84 − 302.38 − 2628.38 − 1205.86 − 1386.75
AIC 5881.68 616.77 5268.75 2423.73 2785.50
BIC 5927.35 641.53 5307.33 2458.14 2819.92
  1. Marginal effects in brackets
  2. *p < 0.05; **p < 0.01; ***p < 0.001;