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Nash Bargaining and the Wage Consequences of Educational Mismatches

Author

Listed:
  • Joop Hartog

    (University of Amsterdam)

  • Michael Sattinger

    (University at Albany)

Abstract

This paper has resulted in a publication in Labour Economics (2013), 23, 50-56. The paper provides a theoretical foundation for the empirical regularities observed in estimations of wage consequences of overeducation and undereducation. Workers with more education than required for their jobs are observed to suffer wage penalties relative to workers with the same education in jobs that only require their educational level. Similarly, workers with less education than required for their jobs earn wage rewards. These departures from the Mincer human capital earnings function can be explained by Nash bargaining between workers and employers. Under fairly mild assumptions, Nash bargaining predicts a wage penalty for overeducation and a wage reward for undereducation, and further predicts that the wage penalty will exceed the wage reward. This paper reviews the established empirical regularities and then provides Nash bargaining results that explain these regularities.

Suggested Citation

  • Joop Hartog & Michael Sattinger, 2012. "Nash Bargaining and the Wage Consequences of Educational Mismatches," Tinbergen Institute Discussion Papers 12-129/V, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20120129
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Nancy Kracke & Margarida Rodrigues, 2020. "A Task-Based Indicator for Labour Market Mismatch," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 399-421, June.
    2. Stephan Kampelmann & Benoit Mahy & François Rycx & Guillaume Vermeylen, 2016. "Who is your perfect match? Educational norms, educational mismatch and firm profitability," Working Papers CEB 16-050, ULB -- Universite Libre de Bruxelles.
    3. Benoît Mahy & François Rycx & Guillaume Vermeylen, 2015. "Educational Mismatch and Firm Productivity: Do Skills, Technology and Uncertainty Matter?," De Economist, Springer, vol. 163(2), pages 233-262, June.
    4. Meir Russ, 2017. "The Trifurcation of the Labor Markets in the Networked, Knowledge-Driven, Global Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 672-703, June.
    5. Chung‐Khain WYE & Rahmah ISMAIL, 2019. "The effects of ability on returns to over‐ and under‐education: Evidence from Malaysia," International Labour Review, International Labour Organization, vol. 158(3), pages 535-559, September.
    6. Gilbert L. Skillman, 2022. "The Nash bargaining solution in labor market analysis," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 884-899, July.
    7. Maqbool H. Sial & Ghulam Sarwar & Mubashra Saeed, 2019. "Surplus Education and Earnings Differentials in Pakistan: A Quantile Regression Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 24(2), pages 93-114, July-Dec.
    8. Nancy Kracke & Malte Reichelt & Basha Vicari, 2018. "Wage Losses Due to Overqualification: The Role of Formal Degrees and Occupational Skills," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1085-1108, October.
    9. McGuinness, Seamus & Pouliakas, Konstantinos, 2016. "Deconstructing Theories of Overeducation in Europe: A Wage Decomposition Approach," IZA Discussion Papers 9698, Institute of Labor Economics (IZA).
    10. Kracke, Nancy & Reichelt, Malte & Vicari, Basha, 2017. "Wage losses due to overqualification: The role of formal degrees and occupational skills," IAB-Discussion Paper 201710, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Overeducation; Undereducation; Nash bargaining; Qualitative mismatches; Mincer earnings function; Wages;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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