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The Effect of Overskilling Dynamics on Wages

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  • Mavromaras, Kostas

    (University of Adelaide)

  • Mahuteau, Stephane

    (University of Adelaide)

  • Sloane, Peter J.

    (Swansea University)

  • Wei, Zhang

    (University of Adelaide)

Abstract

We use a random effects dynamic probit model to estimate the effect of overskilling dynamics on wages. We find that overskilling mismatch is common and more likely among those who have been overskilled in the past. It is also highly persistent, in a manner that is inversely related to educational level. Yet, the wages of university graduates are reduced more by past overskilling, than for any other education level. A possible reason for this wage effect is that graduates tend to be in better-paid jobs and therefore there is more at stake for them if they get it wrong.

Suggested Citation

  • Mavromaras, Kostas & Mahuteau, Stephane & Sloane, Peter J. & Wei, Zhang, 2012. "The Effect of Overskilling Dynamics on Wages," IZA Discussion Papers 6985, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6985
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    References listed on IDEAS

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    2. Kostas Mavromaras & Peter Sloane & Zhang Wei, 2012. "The role of education pathways in the relationship between job mismatch, wages and job satisfaction: a panel estimation approach," Education Economics, Taylor & Francis Journals, vol. 20(3), pages 303-321, February.
    3. Kostas Mavromaras & Seamus Mcguinness & Nigel O'Leary & Peter Sloane & Yi King Fok, 2010. "The Problem Of Overskilling In Australia And Britain," Manchester School, University of Manchester, vol. 78(3), pages 219-241, June.
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    5. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    6. Bell, David N.F. & Blanchflower, David G., 2010. "Youth Unemployment: Déjà Vu?," IZA Discussion Papers 4705, Institute of Labor Economics (IZA).
    7. Kostas Mavromaras & Seamus Mcguinness & Yin King Fok, 2009. "Assessing the Incidence and Wage Effects of Overskilling in the Australian Labour Market," The Economic Record, The Economic Society of Australia, vol. 85(268), pages 60-72, March.
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    9. Mavromaras, Kostas & McGuinness, Seamus & O?Leary, Nigel & Sloane, Peter & Fok, Yin King, 2009. "Job Mismatches and Labour Market Outcomes," Papers WP314, Economic and Social Research Institute (ESRI).
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    Cited by:

    1. van Wetten, Sanne J.L. & Gerards, Ruud & de Grip, Andries, 2020. "Are graduates’ intrapreneurial skills optimally used for innovation?," Technovation, Elsevier, vol. 96.
    2. Marta Martínez-Matute & Ernesto Villanueva, 2023. "Task specialization and cognitive skills: evidence from PIAAC and IALS," Review of Economics of the Household, Springer, vol. 21(1), pages 59-93, March.
    3. Andrea Diem & Stefan C. Wolter, 2014. "Overeducation among Swiss university graduates: determinants and consequences [Nicht ausbildungsadäquate Beschäftigung bei Universitätsabsolventinnen und -absolventen – Determinanten und Konsequenz," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 47(4), pages 313-328, December.
    4. Brian Clark & Clément Joubert & Arnaud Maurel, 2017. "The career prospects of overeducated Americans," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-29, December.
    5. Peter J. Sloane & Kostas Mavromaras, 2020. "Overeducation, skill mismatches, and labor market outcomes for college graduates," IZA World of Labor, Institute of Labor Economics (IZA), pages 1-88, May.
    6. Mariya Neycheva, 2021. "Qualification (Mis)Match for Upper Secondary and Higher Education," Social Sciences, MDPI, vol. 10(9), pages 1-15, August.
    7. Mariya Neycheva & Ivan Neychev, 2020. "Overeducation and Economic Growth: Theoretical Background and Empirical Findings for the Region of Central and Eastern Europe," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 124-142.
    8. Yih‐chyi Chuang & Chia‐Yu Liang, 2022. "Overeducation and skill mismatch of university graduates in Taiwan," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1693-1712, August.
    9. Kristina Nyström, 2021. "Recruitment of scarce competences to rural regions: Policy perspectives," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 41(2), pages 211-227, October.
    10. Petya Ilieva-Trichkova & Pepka Boyadjieva, 2021. "The Fragile Axes of Life: A Capability Approach Perspective towards Graduates’ Education–Job Mismatches and Subjective Well-Being," Social Sciences, MDPI, vol. 10(7), pages 1-18, July.
    11. Piróg Danuta & Hibszer Adam, 2023. "Which Skills are the Most Prized? Analysing Monetary Value of Geographers’ Skills on the Labour Market in Six European Countries," Quaestiones Geographicae, Sciendo, vol. 42(4), pages 63-79, December.
    12. McGuinness, Seamus & Pouliakas, Konstantinos, 2016. "Deconstructing Theories of Overeducation in Europe: A Wage Decomposition Approach," IZA Discussion Papers 9698, Institute of Labor Economics (IZA).
    13. Müge Adalet McGowan & Dan Andrews, 2015. "Skill Mismatch and Public Policy in OECD Countries," OECD Economics Department Working Papers 1210, OECD Publishing.

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    More about this item

    Keywords

    panel dynamic estimation; mismatch; overskilling; wages;
    All these keywords.

    JEL classification:

    • 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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