. 2022 Apr 17;69(2):263–300. doi: 10.1007/s12232-022-00392-6

Table 6.

Subsample results: estimation by age

	Young ( $\leq$ 35 years)				Old (> 35 years)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
	$\hat{β_{c}}$	$\tilde{θ_{c}}$	$\hat{β_{c}}$ $\tilde{θ_{c}}$	Percentage of explained variation	$\hat{β_{c}}$	$\tilde{θ_{c}}$	$\hat{β_{c}}$ $\tilde{θ_{c}}$	Percentage of explained variation
C1: Dig. increases the time pressure at work	$-$ 0.0768***	3.14	$-$ 0.25	1.37	$-$ 0.0790***	3.35	$-$ 0.26	1.97
C1: Dig. increases the time pressure at work	(0.0224)				(0.018)
C2: Dig. puts my job at risk	$-$ 0.0411*	1.92	$-$ 0.05	0.28	$-$ 0.0239	1.98	$-$ 0.08	0.83
C2: Dig. puts my job at risk	(0.0218)				(0.0203)
C3: Dig. worsens the work–life balance	$-$ 0.126***	2.62	$-$ 0.23	2.44	$-$ 0.0869***	2.84	$-$ 0.36	4.79
C3: Dig. worsens the work–life balance	(0.0242)				(0.0189)
C4: Dig. leads to a smooth transition between working hours and leisure time	$-$ 0.00697	2.95	0.04	0.43	0.0125	3.09	$-$ 0.02	0.52
	(0.0209)				(0.0183)
C5: Dig. makes my work more interesting	0.145***	3.5	0.57	6.31	0.162***	3.27	0.47	6.31
C5: Dig. makes my work more interesting	(0.0257)				(0.0235)
C6: Dig. reduces the proportion of repetitive tasks	0.0177	3.25	0.06	1.01	0.0181	3.22	0.06	1.58
C6: Dig. reduces the proportion of repetitive tasks	(0.0213)				(0.0179)
C7: Dig. increases my productivity	0.281***	3.77	0.87	9.0	0.230***	3.48	0.98	12.93
C7: Dig. increases my productivity	(0.0269)				(0.0239)
C8: Dig. increases my autonomy at work	0.0569**	3.22	0.08	1.22	0.0243	3.06	0.17	2.83
C8: Dig. increases my autonomy at work	(0.0258)				(0.0215)
C9: Dig. enables more flexible forms of working time	0.00806	3.24	0.14	2.0	0.0420***	3.26	0.03	1.14
C9: Dig. enables more flexible forms of working time	(0.0194)				(0.0156)
C10 Dig. simplifies interactions with colleagues and superiors	0.0431**	3.47	0.22	2.95	0.0641***	3.33	0.14	3.16
	(0.0212)				(0.0206)
How strongly does Dig. affect the work over the last year?	0.0846***			4.44	0.136***			2.37
How strongly does Dig. affect the work over the last year?	(0.0201)				(0.0182)
Worker characteristics	Yes			2.11	Yes			2.55
N	1331				1758
$R^{2}$ (%)	33.56				40.98

Columns (1) and (5) report the results of the OLS regression having as dependent variable the effect of digitalization on job satisfaction, which is measured on a Likert scale (1 = “less satisfied”, 3 = “no change”, 5 = “more satisfied”). Robust standard errors in parentheses. * $p < 0.10$ , ** $p < 0.05$ , *** $p < 0.01$ . Worker characteristics is a vector of control variables as described in Table 1 plus industry dummies according to NACE 1-digit classification. Columns (2) and (6) report the subsample average values of the job characteristics. Columns (3) and (7) report the multiplication of the betas from columns (1) and (4) with the subsample average values of the characteristics. Columns (4) and (8) report the percentage of explained variance by each regressor in the estimation in column (1)