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Table 3 Baseline sample

From: Skills or culture? An analysis of the decision to work by immigrant women in Italy

  [1] [2] [3]
  Biprobit estimates Wage equation
  Dependent variable: Participate Dependent variable: Employed Dependent variable: Net monthly wage
School 0.039*** 0.024*** 0.007***
(0.004) (0.004) (0.001)
Potential experience 0.043*** - 0.009***
(0.005)   (0.002)
(Potential experience)2 (x100) -0.069*** - -0.021***
(0.011)   (0.000)
Years in Italy - 0.101*** 0.016***
  (0.009) (0.005)
(Years in Italy)2 (x100) - -0.415*** -0.047*
  (0.051) (0.025)
Children below 18yrs 0.045** - -0.058***
(0.021)   (0.007)
Children above 18yrs -0.088*** - -0.022***
(0.016)   (0.006)
Marital status -0.554*** - -0.046**
(0.066)   (0.014)
Spatial dummies NO Local labour system Local labour system
Year dummies YES YES YES
Religion dummies and their interaction with the marital status YES NO NO
Country of origin dummies NO YES YES
Lambda1 - - -0.171**
   (0.068)
Lambda2 - - -0.163**
   (0.074)
Intercept 0.231** -0.492*** 7.100***
(0.103) (0.119) (0.089)
Rho 0.916 -
No. Obs. 10,459 5,937
  1. Source: Authors’ calculations on ISMU dataset.
  2. Robust standard errors in parenthesis. Wage equation standard error take into account the two-step procedure. Stars show significance levels, *** up to 1 per cent, ** between 1 per cent and 5 per cent, * between 5 per cent and 10 per cent. All regressions are weighted according to the sample design.