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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.