Table 6 Robustness check controlling for...

Table 6

Robustness check controlling for leads of training and technology adoption

	(1)	(2)	(3)
	Log hourly wage	Job change	Promotion
Lead Training	0.004	−0.017*	−0.001
Lead Training	(0.006)	(0.009)	(0.003)
Lead New Technology	0.007	−0.009	−0.001
Lead New Technology	(0.007)	(0.010)	(0.003)
Lead Training × New Tech	−0.019*	0.007	−0.005
Lead Training × New Tech	(0.011)	(0.017)	(0.005)
Training	0.005	0.003	0.003
Training	(0.006)	(0.009)	(0.002)
New Technology	−0.004	0.002	0.001
New Technology	(0.006)	(0.010)	(0.003)
Training × New Tech	0.006	0.005	−0.002
Training × New Tech	(0.010)	(0.016)	(0.005)
Year dummies	Yes	Yes	Yes
Individual and job characteristics	Yes	Yes	Yes
Individual fixed effects	Yes	Yes	Yes
Observations	25,461	25,461	25,461
R²	0.092	0.054	0.013

	(1)	(2)	(3)
	Log hourly wage	Job change	Promotion
Lead Training	0.004	−0.017*	−0.001
Lead Training	(0.006)	(0.009)	(0.003)
Lead New Technology	0.007	−0.009	−0.001
Lead New Technology	(0.007)	(0.010)	(0.003)
Lead Training × New Tech	−0.019*	0.007	−0.005
Lead Training × New Tech	(0.011)	(0.017)	(0.005)
Training	0.005	0.003	0.003
Training	(0.006)	(0.009)	(0.002)
New Technology	−0.004	0.002	0.001
New Technology	(0.006)	(0.010)	(0.003)
Training × New Tech	0.006	0.005	−0.002
Training × New Tech	(0.010)	(0.016)	(0.005)
Year dummies	Yes	Yes	Yes
Individual and job characteristics	Yes	Yes	Yes
Individual fixed effects	Yes	Yes	Yes
Observations	25,461	25,461	25,461
R²	0.092	0.054	0.013

Note(s): Clustered standard errors in parentheses. *p < 0.10, **p < 0.05, ***p < 0.01

Job change is a dummy indicating a job change between the preceding and the current wave, either within the firm or to another firm (conditional on employment in both waves). Promotion indicates a job change within the same firm between the preceding and the current wave (conditional on employment in the same firm in both waves). Individual and job characteristics refer to the variables listed in Table 1

Source(s): Authors’ own work

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