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Table 2 Wage regression on individual productive attributes, discrimination and compensating differentials characteristics

From: Task implementation heterogeneity and wage dispersion

Dependent variable: log of wage

Variable source/description

Experience

0.04491*****

Estimated years of work experience. From year of survey and year of first job.

 

(0.00428)

Experience^2

−0.001188*****

Square of the experience.

 

(0.00023)

 

Experience^3

0.00001****

Cubic of the experience.

 

(0.00000)

 

Years of Education

0.02523*****

Estimated years of education. From year of finishing education and year of birth (minus five).

 

(0.00157)

Female

−0.09495*****

Binary variable, 1 Female, 0 Male.

 

(0.01226)

 

Migrant

0.02228

Binary variable, 1 if not born in the country of residence, 0 otherwise.

 

(0.02318)

Industry dummies

Yes

Industries classified under NACE rev2.0, 1 digit disclosure (21 industries).

Firm size dummies

Yes

Ten firm-size groups

Year dummies

Yes

2013; 2014

(Intercept)

1.637*****

 
 

(0.1201)

 

no of observations

2938

 

R2

0.326

 
  1. Signif. codes: 0 ‘*****’ 0.001 ‘****’ 0.01 ‘***’ 0.05 ‘**’ 0.1 ‘*’