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

From: Skills and work organisation in Britain: a quarter century of changeFertigkeiten, Fertigkeitsanforderungen und Arbeitsorganisation in Grossbritannien: Trends über das letzten Vierteljahrhundert

Men
  1997 2001 2006 2012
Computing skills 0.066*** 0.083*** 0.084*** 0.079***
(0.016) (0.013) (0.014) (0.020)
Influence skills 0.054* 0.070*** 0.050** 0.051*
(0.022) (0.018) (0.015) (0.025)
(Computing skills) # (influence skills) 0.002 0.019 0.024* 0.055***
(0.014) (0.012) (0.010) (0.015)
AME(computing skills) 0.067*** 0.084*** 0.086*** 0.086***
(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***
(0.016) (0.012) (0.011) (0.016)
Influence skills 0.067*** 0.061*** 0.060*** 0.048*
(0.018) (0.013) (0.012) (0.023)
(Computing skills) # (Influence skills) 0.009 0.011 0.041*** 0.020
(0.011) (0.009) (0.009) (0.012)
AME(Computing skills) 0.065*** 0.083*** 0.087*** 0.106***
(0.016) (0.012) (0.011) (0.016)
Observations 965 1798 2534 1129
Adjusted R 2 0.610 0.526 0.548 0.517
  1. 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
  2. * p < 0.05; ** p < 0.01; *** p < 0.001