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The distinct effects of information technologies and communication technologies on the age-skill composition of labour demand

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  • Sotiris Blanas

    (National Bank of Belgium)

Abstract

This paper is the first to study the distinct effects of Information Technologies (IT) and Communication Technologies (CT) on the skill, age, and age-skill composition of labour demand. The analysis is conducted on a sample comprising 10 developed countries, 30 industries covering the largest part of the economy, and the period 1982-2005. I find that IT intensity increases the relative demands for the high-skilled, low-skilled and oldest workers, while it decreases the relative demands for the medium-skilled and younger workers. Also, IT intensity increases the relative demands for the high-skilled and low-skilled of all age profiles, while it decreases the relative demands for the medium-skilled of all age profiles. CT intensity exerts opposite effects. Consistent with knowledge-based hierarchy theories highlighting the organisational aspect of the adoption of IT and CT by firms, the empowerment of agents at lower and higher levels of the hierarchy induced by IT and CT, respectively, rationalise these findings. I also find that the aforementioned effects operate mostly as of 1990, when the advancement rates of IT and CT were even higher than in the 1980s. Although a clear pattern of disproportionate effects across sectors is not identified, such a pattern across countries does exist: the inequalities generated by the two types of technologies are mitigated by higher union density.

Suggested Citation

  • Sotiris Blanas, 2019. "The distinct effects of information technologies and communication technologies on the age-skill composition of labour demand," Working Paper Research 365, National Bank of Belgium.
    • Handle: RePEc:nbb:reswpp:201901-365
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    References listed on IDEAS

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    1. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
    2. Luc Behaghel & Eve Caroli & Muriel Roger, 2014. "Age-biased Technical and Organizational Change, Training and Employment Prospects of Older Workers," Economica, London School of Economics and Political Science, vol. 81(322), pages 368-389, April.
    3. Sotiris Blanas & Gino Gancia & Sang Yoon (Tim) Lee, 2019. "Who is afraid of machines?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 627-690.
    4. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    5. repec:hal:pseose:halshs-00978400 is not listed on IDEAS
    6. Rosario Crinò, 2012. "Service Offshoring and the Skill Composition of Labour Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 20-57, February.
    7. repec:dau:papers:123456789/10093 is not listed on IDEAS
    8. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    9. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    10. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    11. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    12. Eve Caroli & John Van Reenen, 2001. "Skill-Biased Organizational Change? Evidence from A Panel of British and French Establishments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1449-1492.
    13. Alexander Hijzen & Holger Görg & Robert C. Hine, 2005. "International Outsourcing and the Skill Structure of Labour Demand in the United Kingdom," Economic Journal, Royal Economic Society, vol. 115(506), pages 860-878, October.
    14. Luis Garicano, 2000. "Hierarchies and the Organization of Knowledge in Production," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 874-904, October.
    15. Egger, Hartmut & Egger, Peter, 2005. "Labor market effects of outsourcing under industrial interdependence," International Review of Economics & Finance, Elsevier, vol. 14(3), pages 349-363.
    16. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 years," NBER Working Papers 16138, National Bureau of Economic Research, Inc.
    17. Patrick Aubert & Eve Caroli & Muriel Roger, 2006. "New technologies, organisation and age: firm-level evidence," Economic Journal, Royal Economic Society, vol. 116(509), pages 73-93, February.
    18. repec:dau:papers:123456789/7243 is not listed on IDEAS
    19. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    20. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Information Technologies; Communication Technologies; relative labour demand; ageskill profile;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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