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The Labor Market Effects of Skill-biased Technological Change in Malaysia

Author

Listed:
  • Björn Nilsson
  • Mohamed Ali Marouani

    (DEVSOC - UMR Développement et Sociétés - UP1 - Université Paris 1 Panthéon-Sorbonne - IRD - Institut de Recherche pour le Développement)

Abstract

During the last half-century, the evolution of educational attainment in Malaysia has been spectacular, and current enrollment rates suggest this progression will continue. Such a transformation of the labor skill composition should bring about macroeconomic effects such as wage compression, sectoral shifts and high skill unemployment, unless compensatory mechanisms exist. Relying on decomposition techniques, we argue that skill biased technological change (SBTC) occurred in Malaysia in recent years, and permitted unemployment figures to remain low and skill premia not to sink. We also develop a dynamic general equilibrium model, simulating the absence of SBTC and limit the number of admissions to higher education. The results are fed to a microsimulation module. They show that the reduction in wage inequalities could have been substantially more important had SBTC not been present. Furthermore, they suggest that the open-door higher education policy has contributed heavily to a reduction in wage inequalities.
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Suggested Citation

  • Björn Nilsson & Mohamed Ali Marouani, 2019. "The Labor Market Effects of Skill-biased Technological Change in Malaysia," Post-Print hal-04000522, HAL.
    • Handle: RePEc:hal:journl:hal-04000522
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    Citations

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    Cited by:

    1. is not listed on IDEAS
    2. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    3. Yeo, Yeongjun & Lee, Jeong-Dong, 2020. "Revitalizing the race between technology and education: Investigating the growth strategy for the knowledge-based economy based on a CGE analysis," Technology in Society, Elsevier, vol. 62(C).
    4. Björn Nilsson, 2019. "The School-to-Work Transition in Developing Countries," Journal of Development Studies, Taylor & Francis Journals, vol. 55(5), pages 745-764, May.
    5. Li, Huijuan & Cai, Weihong & Li, Wenxiu, 2021. "Does global value chains participation improve skill premium? Mediating role of skill-biased technological change," Economic Modelling, Elsevier, vol. 99(C).
    6. Xin Zhao & Dominique Y van der Mensbrugghe & Roman M. Keeney & Wallace E. Tyner, 2021. "Improving the Way Land Use Change is Handled in Economic Models," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 15, pages 467-515, World Scientific Publishing Co. Pte. Ltd..
    7. Zhang, Jingjing & Leoncini, Riccardo & Tsai, Yingyi, 2018. "Intellectual property rights protection, labour mobility and wage inequality," Economic Modelling, Elsevier, vol. 70(C), pages 239-244.
    8. Wang, Jun & Hu, Yong & Zhang, Zhiming, 2021. "Skill-biased technological change and labor market polarization in China," Economic Modelling, Elsevier, vol. 100(C).
    9. Mamiko Takeuchi, 2021. "Determinants of Earnings and Gender Earnings Gaps among Highly Educated Workers within Major Cities in Asian Countries," Asian Economic Journal, East Asian Economic Association, vol. 35(2), pages 166-186, June.
    10. Jung, Sungmoon & Lee, Jeong-Dong & Hwang, Won-Sik & Yeo, Yeongjun, 2017. "Growth versus equity: A CGE analysis for effects of factor-biased technical progress on economic growth and employment," Economic Modelling, Elsevier, vol. 60(C), pages 424-438.
    11. Hutter, Christian & Weber, Enzo, 2021. "Labour market miracle, productivity debacle: Measuring the effects of skill-biased and skill-neutral technical change," Economic Modelling, Elsevier, vol. 102(C).

    More about this item

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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