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Table 3 Wage difference “teacher – non-teachers” (Regression)

From: Teaching in vocational education as a second career

 

(1)

(2)

(3)

(4)

Female

−7,273

−6,611

−4,029

−2,180

 

(2,653)***

(2,741)**

(3,149)

(3,252)

Reference category: Tertiary level B professional education and training (ISCED 5b)

Upper secondary

 

−725

4,269

1,742

education

 

(4,335)

(4,155)

(5,747)

ISCED 5a + 6

 

−5,821

1,195

6,778

  

(3,065)*

(3,323)

(3,998)*

Leadership position

  

7,170

6,019

   

(2,731)***

(2,711)**

Reference category: Industry and manufacturing

Agriculture, forestry and

  

1,935

3,939

livestock breeding

  

(11,434)

(12,415)

Engineering and informatics

  

−19,568

−19,077

   

(4,002)***

(3,952)***

Construction sector and

  

6,582

7,815

mining

  

(5,265)

(5,343)

Trade and transport

  

−17,835

−15,231

   

(6,849)***

(6,853)**

Hospitality industry and

  

1,989

2,648

service sector

  

(4,330)

(4,219)

Management, admin., banking,

  

−21,904

−22,541

insurance and law

  

(5,566)***

(5,779)***

Health services, culture,

  

−11,502

−10,050

science

  

(4,287)***

(4,331)**

Interaction: upper sec. educ.

   

1,186

x option part-time

   

(7,301)

Interaction: ISCED 5a + 6

   

−14,224

x option part-time

   

(4,430)***

Interaction: ISCED 5b

   

−651

x option part-time

   

(3,582)

Constant

9,682

11,572

3,091

3,555

 

(2,428)***

(2,414)***

(5,760)

(5,735)

Controlled for age

Yes

Yes

Yes

Yes

Controlled for region

No

No

Yes

Yes

Controlled for firm size

No

No

Yes

Yes

Controlled for tenure

No

No

Yes

Yes

Controlled for SLFS year

No

No

Yes

Yes

R-squared

0.03

0.04

0.25

0.28

Observations

330

330

330

330

F

2.84

2.96

5.18

5.01

  1. Note: Dependent variable wage difference (teacher – non-teaching individuals). Robust standard errors in parentheses. Self-employed individuals excluded. *p < 0.10, **p < 0.05, ***p < 0.01.