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ICT and the Returns to Schooling and Job-Specific Experience

Published online by Cambridge University Press:  26 March 2020

Simon Kirby*
Affiliation:
National Institute of Economic and Social Research
Rebecca Riley*
Affiliation:
National Institute of Economic and Social Research

Abstract

We use the United Kingdom Labour Force Survey to estimate the returns to schooling and job-specific experience in sixteen different industry sectors over the period 1994-2001. Next, assuming skill levels are fixed, we assess the marginal effect on these returns of the capital intensity of production and the ICT intensity of capital. Our results indicate that in the UK, over the period 1994-2001, the rising ICT intensity of capital was associated with a rise in the return to schooling, and a reduction in the return to job-specific experience.

Type
Articles
Copyright
Copyright © 2007 National Institute of Economic and Social Research

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References

Abowd, J., Haltiwanger, J., Lane, J., McKinney, K. and Sandusky, K. (2007), ‘Technology and the demand for skill: an analysis of within and between firm differences’, NBER Working Paper No. 13043.Google Scholar
Anderson, T., Forth, J., Metcalf, H. and Kirby, S. (2001), The Gender Pay Gap, Women and Equality Unit, Cabinet Office.Google Scholar
Aubert, P., Caroli, E. and Roger, M. (2006), ‘New technologies, organisation and age: firm-level evidence’, Economic Journal, 116, F7393.CrossRefGoogle Scholar
Berman, E., Bound, J. and Griliches, Z. (1994), ‘Changes in the demand for skilled labor within U.S. manufacturing: evidence from the Annual Survey of Manufactures’, Quarterly Journal of Economics, 109, pp. 367–97CrossRefGoogle Scholar
Betts, J. (1997), ‘The skill bias of technological change in Canadian manufacturing industries’, Review of Economics and Statistics, 79, pp. 146–50.10.1162/003465397556494CrossRefGoogle Scholar
Bound, J. and Johnson, G. (1992), ‘Changes in the structure of wages in the 1980s: an evaluation of alternative explanations’, American Economic Review, 82, pp. 371–91.Google Scholar
Card, D. (1999), ‘The causal effect of education on earnings’, in Ashenfelter, O. and Card, D. (eds), The Handbook of Labor Economics Volume 3A, Oxford, Elsevier.Google Scholar
Cingano, F. (2003), ‘Returns to specific skills in industrial districts’, Labour Economics, 10, 2, pp. 149–64.CrossRefGoogle Scholar
Disney, R. (1999), ‘Why have older men stopped working’, in Gregg, P. and Wadsworth, J. (eds), The State of Working Britain, Manchester University Press.Google Scholar
Goldin, C. and Katz, L. (1998), ‘The origins of technology-skill’, Quarterly Journal of Economics, 113, pp. 693732.CrossRefGoogle Scholar
Green, F., Felstead, A. and Gallie, D. (2003), ‘Computers and the changing skill-intensity of jobs’, Applied Economics, 35, pp. 1561–76.10.1081/0003684032000085986CrossRefGoogle Scholar
Greenwood, J. and Yorukoglu, M. (1997), ‘1974’, Carnegie-Rochester Conference Series on Public Policy, 46, pp. 4995.10.1016/S0167-2231(97)00004-3CrossRefGoogle Scholar
Harmon, C., Hogan, V. and Walker, I. (2003), ‘Dispersion in the economic return to schooling’, Labour economics, 10, 2, pp. 205–14.CrossRefGoogle Scholar
Harmon, C., Oosterbeek, H. and Walker, I (2003), ‘The returns to education: microeconomics’, Journal of Economic Surveys, 17, 2, pp. 115–55.CrossRefGoogle Scholar
Haskel, J. and Heden, Y. (1999), ‘Computers and the demand for skilled labour: industry- and establishment-level panel evidence for the UK’, Economic Journal, 109, pp. C68-79.CrossRefGoogle Scholar
Haskel, J. and Slaughter, M. (2001), ‘Trade, technology and UK wage inequality’, Economic journal, 111, pp. 163–87.CrossRefGoogle Scholar
Haskel, J. and Slaughter, M. (2002), ‘Does the sector bias of skill-biased technological change explain changing skill premia?’, European Economic Review, 46, pp.1757–83.Google Scholar
Heckman, J., Lochner, L. and Todd, P. (2003), ‘Fifty years of Mincer earnings regressions’, NBER Working Paper No. 9732.Google Scholar
Helpman, E. and Rangel, A. (1999), ‘Adjusting to a new technology: experience and training’, Journal of Economic Growth, 4(4), pp. 359–83.CrossRefGoogle Scholar
Machin, S. (1996), ‘Changes in the relative demand for skills’, in Booth, A. and Snower, D. (eds), Acquiring Skills: Market Failures, Their Symptoms and Policy Responses, Cambridge University PressGoogle Scholar
Machin, S. and Van Reenen, J. (1998), ‘Technology and changes in the skill structure: evidence from seven OECD countries’, Quarterly journal of Economics, 113, pp. 1215–44.10.1162/003355398555883CrossRefGoogle Scholar
Manning, A. (2003), Monopsony in Motion, Princeton University Press.Google Scholar
Nickell, S. and Quintini, G. (2002), ‘The recent performance of the UK labour market’, Oxford Review of Economic Policy, 18(2), pp. 202–20.10.1093/oxrep/18.2.202CrossRefGoogle Scholar
O'Mahony, M. and de Boer, W. (2002), ‘Britain's relative productivity performance: updates to 1999 Final Report to DTI/Treasury/ONS’, mimeograph.Google Scholar
Riley, R. and Young, G. (2007), ‘Skill heterogeneity and equilibrium unemployment’, Oxford Economic Papers, pp. doi:10.1093/oep/gpm011.CrossRefGoogle Scholar
Wilkinson, D. (1998), ‘Towards reconciliation of NES and LFS earnings data’, Labour Market Trends, 106, 5, pp. 223–31.Google Scholar