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. 2023 Feb 4:1–19. Online ahead of print. doi: 10.1007/s11482-023-10145-4

Table A1.

Ordinary Least Squares (OLS) regressions predicting the impacts of teleworking on the workers’ enjoyment at work and job satisfaction over a weekday with coefficients of control variables

Enjoyment at work Job satisfaction
Model 1 Model 2
Teleworking (Ref.= No)
 Yes 0.24* 0.44***
(0.10) (0.12)
Gender (Ref.= Male)
 Female 0.15 0.32**
(0.10) (0.12)
Occupational class (Ref.= Large employers and higher managerial)
 Higher professional 0.24 0.43
(0.24) (0.38)
 Lower managerial and professional 0.49* 0.44
(0.22) (0.37)
 Intermediate 0.37 0.35
(0.23) (0.38)
 Small employers and own account workers 0.96* 0.81
(0.42) (0.55)
 Lower supervisory and technical 0.14 0.10
(0.27) (0.44)
 Semi-routine 0.36 0.20
(0.23) (0.39)
 Routine & manual 0.36 0.39
(0.23) (0.39)
Age

0.01

(0.00)

0.00

(0.00)

The presence of children under 16
 Yes 0.00 0.15
(0.10) (0.12)
The presence of longterm illnesses
 Yes 0.12 0.02
(0.11) (0.13)
Log household income (monthly) -0.01 0.05
(0.06) (0.07)
General health status (Ref.= Very Good)
 Good 0.11 0.02
(0.09) (0.11)
 Fair -0.20 -0.51**
(0.15) (0.19)
 Bad -0.21 -1.11
(0.28) (0.61)
 Very bad -1.41*** 0.16
(0.20) (0.22)
Paid work (hours per day) -0.03 -0.04
(0.02) (0.03)
Routine-work time (hours per day) 0.12* 0.10
(0.06) (0.07)
Childcare time (hours per day) -0.02 -0.04
(0.06) (0.07)
Constant 4.06*** 4.32***
(0.63) (0.79)
Observations 929 929
R-squared 0.05 0.06

Note: Standard errors are in parentheses. *** p < 0.001, ** p < 0.01, * p < 0.05