Skills and work organisation in Britain: a quarter century of change

Journal for Labour Market Research

Table 1 Returns to computing and influence skills over time, 1997–2012. (Source: SES 1997–2012. Employees aged 20–60 years)

Men
	1997	2001	2006	2012
Computing skills	0.066^***	0.083^***	0.084^***	0.079^***
Computing skills	(0.016)	(0.013)	(0.014)	(0.020)
Influence skills	0.054^*	0.070^***	0.050^**	0.051^*
Influence skills	(0.022)	(0.018)	(0.015)	(0.025)
(Computing skills) # (influence skills)	0.002	0.019	0.024^*	0.055^***
(Computing skills) # (influence skills)	(0.014)	(0.012)	(0.010)	(0.015)
AME(computing skills)	0.067^***	0.084^***	0.086^***	0.086^***
AME(computing skills)	(0.016)	(0.013)	(0.014)	(0.021)
Observations	974	1798	2331	877
Adjusted R ²	0.520	0.470	0.497	0.567
Women
Computing skills	0.066^***	0.083^***	0.084^***	0.104^***
Computing skills	(0.016)	(0.012)	(0.011)	(0.016)
Influence skills	0.067^***	0.061^***	0.060^***	0.048^*
Influence skills	(0.018)	(0.013)	(0.012)	(0.023)
(Computing skills) # (Influence skills)	0.009	0.011	0.041^***	0.020
(Computing skills) # (Influence skills)	(0.011)	(0.009)	(0.009)	(0.012)
AME(Computing skills)	0.065^***	0.083^***	0.087^***	0.106^***
AME(Computing skills)	(0.016)	(0.012)	(0.011)	(0.016)
Observations	965	1798	2534	1129
Adjusted R ²	0.610	0.526	0.548	0.517

The dependent variable is real log hourly pay. All regressions include schooling and a quadratic in work experience in addition to the standard controls for workplace size, part-time status, public/private sector, permanent/temporary contract status, whether male or female dominated occupation, 1-digit industry dummies, region and 7 further generic skills indicators including measure of work discretion (see Gallie et al. 2004). Computing skills and influence skills were demeaned by data waves and then standardized by their pooled standard deviation. Robust standard errors in parentheses
^* p < 0.05; ^** p < 0.01; ^*** p < 0.001