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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.