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Wage inequality, skills and mastering new technologies

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  • Jose M. Quintero-Holguin

Abstract

In this paper I provide a new explanation for the increasing inequality between skilled and unskilled. This work introduces a problem solving based model in which agents invest in technological innovations to solve problems and sell their solutions in the market. Each agent has feasible set they can solve which depends on their skills and the set of technology they have access to. However, unlike the skilled biased technological change explanation, I do not assume that new technologies are necessarily complementary with skills. Instead, skills will play a role in how fast agents are able to adopt new technologies. High skilled individuals will adopt new technologies a lower cost relative to the unskilled. Under this frame, the model sets two different mechanisms that feed the wage gap between skilled and unskilled: productivity and access to the latest technological innovations.

Suggested Citation

  • Jose M. Quintero-Holguin, 2018. "Wage inequality, skills and mastering new technologies," Documentos CEDE 16353, Universidad de los Andes, Facultad de Economía, CEDE.
  • Handle: RePEc:col:000089:016353
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    References listed on IDEAS

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    1. Jovanovic, Boyan & Nyarko, Yaw, 1996. "Learning by Doing and the Choice of Technology," Econometrica, Econometric Society, vol. 64(6), pages 1299-1310, November.
    2. Oded Galor & Omer Moav, 2000. "Ability-Biased Technological Transition, Wage Inequality, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 469-497.
    3. 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.
    4. Paul Beaudry & Mark Doms & Ethan Lewis, 2006. "Endogenous Skill Bias in Technology Adoption: City-Level Evidence from the IT Revolution," NBER Working Papers 12521, National Bureau of Economic Research, Inc.
    5. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    6. Santiago Caicedo & Robert E. Lucas Jr. & Esteban Rossi-Hansberg, 2019. "Learning, Career Paths, and the Distribution of Wages," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(1), pages 49-88, January.
    7. Ariel Pakes & Mark Schankerman, 1984. "The Rate of Obsolescence of Patents, Research Gestation Lags, and the Private Rate of Return to Research Resources," NBER Chapters, in: R&D, Patents, and Productivity, pages 73-88, National Bureau of Economic Research, Inc.
    8. Jim Allen & Andries de Grip, 2012. "Does skill obsolescence increase the risk of employment loss?," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3237-3245, September.
    9. Weiss, Matthias, 2008. "Skill-biased technological change: Is there hope for the unskilled?," Economics Letters, Elsevier, vol. 100(3), pages 439-441, September.
    10. Ali Alichi & Mr. Kory Kantenga & Mr. Juan Sole, 2016. "Income Polarization in the United States," IMF Working Papers 2016/121, International Monetary Fund.
    11. Daron Acemoglu & Pascual Restrepo, 2016. "The Race Between Machine and Man: Implications of Technology for Growth, Factor Shares and Employment," NBER Working Papers 22252, National Bureau of Economic Research, Inc.
    12. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1169-1213.
    13. Bosworth, D L, 1978. "The Rate of Obsolescence of Technical Knowledge-A Note," Journal of Industrial Economics, Wiley Blackwell, vol. 26(3), pages 273-279, March.
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    More about this item

    Keywords

    Skill-biased technological change; wage structure; adopting technologies.;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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