Table 7.

Regressions by education and age groups on the associations of import automation and gender dummy with real wages

0–30 years31–50 years51–100 yearsBaseline modelTertiary educationNot tertiary education
Female (dummy)−0.145***−0.199***−0.121***−0.168***−0.175***−0.153***
(0.002)(0.001)(0.002)(0.001)(0.002)(0.001)
Automation (dummy)0.001
(0.002)
0.013***
(0.001)
0.028***
(0.002)
0.016***
(0.001)
0.015***
(0.002)
0.020***
(0.001)
Female × automation−0.010***−0.011***−0.021***−0.013***−0.007**−0.015***
(0.003)(0.002)(0.002)(0.001)(0.003)(0.001)
Importing (dummy)0.048***
(0.002)
0.075***
(0.001)
0.055***
(0.002)
0.064***
(0.001)
0.087***
(0.002)
0.061***
(0.001)
Female × importing (dummy)−0.062***
(0.003)
−0.088***
(0.002)
−0.081***
(0.002)
−0.083***
(0.001)
−0.093***
(0.003)
−0.087***
(0.001)
Number of observations581,6581,589,792925,5663,097,016783,4662,313,550
R20.4140.4370.3650.4120.3630.380
0–30 years31–50 years51–100 yearsBaseline modelTertiary educationNot tertiary education
Female (dummy)−0.145***−0.199***−0.121***−0.168***−0.175***−0.153***
(0.002)(0.001)(0.002)(0.001)(0.002)(0.001)
Automation (dummy)0.001
(0.002)
0.013***
(0.001)
0.028***
(0.002)
0.016***
(0.001)
0.015***
(0.002)
0.020***
(0.001)
Female × automation−0.010***−0.011***−0.021***−0.013***−0.007**−0.015***
(0.003)(0.002)(0.002)(0.001)(0.003)(0.001)
Importing (dummy)0.048***
(0.002)
0.075***
(0.001)
0.055***
(0.002)
0.064***
(0.001)
0.087***
(0.002)
0.061***
(0.001)
Female × importing (dummy)−0.062***
(0.003)
−0.088***
(0.002)
−0.081***
(0.002)
−0.083***
(0.001)
−0.093***
(0.003)
−0.087***
(0.001)
Number of observations581,6581,589,792925,5663,097,016783,4662,313,550
R20.4140.4370.3650.4120.3630.380

Standard errors are reported in parentheses. Control variables are not included to save space, but full estimations are available upon request.

Source: Statistics Estonia.

*

P < 0.1, ** P < 0.05, *** P < 0.01.

Table 7.

Regressions by education and age groups on the associations of import automation and gender dummy with real wages

0–30 years31–50 years51–100 yearsBaseline modelTertiary educationNot tertiary education
Female (dummy)−0.145***−0.199***−0.121***−0.168***−0.175***−0.153***
(0.002)(0.001)(0.002)(0.001)(0.002)(0.001)
Automation (dummy)0.001
(0.002)
0.013***
(0.001)
0.028***
(0.002)
0.016***
(0.001)
0.015***
(0.002)
0.020***
(0.001)
Female × automation−0.010***−0.011***−0.021***−0.013***−0.007**−0.015***
(0.003)(0.002)(0.002)(0.001)(0.003)(0.001)
Importing (dummy)0.048***
(0.002)
0.075***
(0.001)
0.055***
(0.002)
0.064***
(0.001)
0.087***
(0.002)
0.061***
(0.001)
Female × importing (dummy)−0.062***
(0.003)
−0.088***
(0.002)
−0.081***
(0.002)
−0.083***
(0.001)
−0.093***
(0.003)
−0.087***
(0.001)
Number of observations581,6581,589,792925,5663,097,016783,4662,313,550
R20.4140.4370.3650.4120.3630.380
0–30 years31–50 years51–100 yearsBaseline modelTertiary educationNot tertiary education
Female (dummy)−0.145***−0.199***−0.121***−0.168***−0.175***−0.153***
(0.002)(0.001)(0.002)(0.001)(0.002)(0.001)
Automation (dummy)0.001
(0.002)
0.013***
(0.001)
0.028***
(0.002)
0.016***
(0.001)
0.015***
(0.002)
0.020***
(0.001)
Female × automation−0.010***−0.011***−0.021***−0.013***−0.007**−0.015***
(0.003)(0.002)(0.002)(0.001)(0.003)(0.001)
Importing (dummy)0.048***
(0.002)
0.075***
(0.001)
0.055***
(0.002)
0.064***
(0.001)
0.087***
(0.002)
0.061***
(0.001)
Female × importing (dummy)−0.062***
(0.003)
−0.088***
(0.002)
−0.081***
(0.002)
−0.083***
(0.001)
−0.093***
(0.003)
−0.087***
(0.001)
Number of observations581,6581,589,792925,5663,097,016783,4662,313,550
R20.4140.4370.3650.4120.3630.380

Standard errors are reported in parentheses. Control variables are not included to save space, but full estimations are available upon request.

Source: Statistics Estonia.

*

P < 0.1, ** P < 0.05, *** P < 0.01.

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