The following regression model was used to explain log(wage): Log(wage) = Ģ ā + Ģ āeduc + Ģ āexper + Ģ āexper" + Ģ ātenure + u, where educ=years of formal education, exper=years of labour market experience and tenure=years employed in current job. Based on a sample of 625 observations the following estimates were obtained: Dependent variable: Log (wage). Independent variables: educ 0.082 (0.009); exper 0.032 (0.007); exper" -0.0006 (0.0002); tenure 0.041 (0.015); intercept 2.451 (0.100). Observations: 625. R": 0.521.