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Skills and earnings revisited

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  • G Johnes

Abstract

Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about skills. People skills, strategic skills, and IT skills all carry strong and significant wage premia; problem-solving skills (surprisingly) and physical skills (less surprisingly) do not. In contrast to the impact of school curriculum on subsequent earnings, the neural network modelling procedure does not pick up any significant nonlinearities in the relationship between skills and earnings.

Suggested Citation

  • G Johnes, 2005. "Skills and earnings revisited," Working Papers 573993, Lancaster University Management School, Economics Department.
    • Handle: RePEc:lan:wpaper:573993
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    References listed on IDEAS

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    Cited by:

    1. Mane, Ferran & Miravet, Daniel, 2016. "Using the job requirements approach and matched employer-employee data to investigate the content of individuals' human capital," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(2), pages 133-155.
    2. Mañé Vernet, Ferran & Miravet, Daniel, 2010. "An investigation on the pay-off to generic competences for core employees in Catalan manufacturing firms," Working Papers 2072/179595, Universitat Rovira i Virgili, Department of Economics.

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