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Simulating the Lisbon skills targets in WorldScan

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  • Bas Jacobs

Abstract

This paper explains the theoretical background, the analytical methods, calibrations, assumptions and computations of the skill inputs for the WorldScan analysis on the skills targets of the Lisbon agenda. The Lisbon skills targets are implemented in WorldScan using most recent theoretical and empirical research in human capital theory. In particular, a satellite model for WorldScan is developed which disaggregates high skilled labour in S&E and non-S&E workers, and low skilled labour in workers with primary education (or less), lower secondary education, and higher secondary levels of education. In addition, workers can acquire skills through on-the-job training. The quality of the workforce may also increase by a higher quality of initial education. Finally, a stylised cohort model is developed to capture the time-lag between changes in policies and the eventual impact on the labour force. In implementing the skills targets we take heterogeneity between various EU countries into account with respect to the following skill variables: initial average levels of education, the returns to education, graduation rates in upper-secondary education, participation in on-the-job training, and the graduation shares in S&E education.

Suggested Citation

  • Bas Jacobs, 2005. "Simulating the Lisbon skills targets in WorldScan," CPB Memorandum 135, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:memodm:135
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    Cited by:

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    2. Suzanne Kok, 2013. "Town and city jobs: Your job is different in another location," CPB Discussion Paper 246.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Nelson B. Villoria, 2009. "China and the Manufacturing Terms-of-Trade of African Exporters," Journal of African Economies, Centre for the Study of African Economies, vol. 18(5), pages 781-823, November.
    4. Christian Dreger & Manuel Artís & Rosina Moreno & Raúl Ramos & Jordi Suriñach, 2007. "Study on the feasibility of a tool to measure the macroeconomic impact of structural reforms," European Economy - Economic Papers 2008 - 2015 272, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
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    6. Eva Gutiérrez-i-Puigarnau & Ismir Mulalic & Jos N. van Ommeren, 2016. "Do rich households live farther away from their workplaces?," Journal of Economic Geography, Oxford University Press, vol. 16(1), pages 177-201.
    7. Rivera, Luis & Rojas-Romagosa, Hugo, 2009. "Human Capital Formation and the Linkage between Trade and Poverty: The Cases of Costa Rica and Nicaragua," Conference papers 331887, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Dinh, Huong, 2009. "Sectoral Impact of Barriers to Trade in Banking Services: A Cost and Profit-based Approach," Conference papers 331883, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Boeters, Stefan & Savard, Luc, 2011. "The labour market in CGE models," ZEW Discussion Papers 11-079, ZEW - Leibniz Centre for European Economic Research.
    10. Stefan Boeters & Nico van Leeuwen, 2010. "A labour market extension for WorldScan; modelling labour supply, wage bargaining and unemployment in a CGE framework," CPB Document 201.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Gelauff, George & Lejour, Arjan, 2006. "The new Lisbon Strategy: An estiamtion of the impact of reaching 5 Lisbon targets," MPRA Paper 16168, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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