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The gender wage gap and sample selection via risk attitudes

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  • SeEun Jung

Abstract

Purpose - The purpose of this paper is to consider a new way of estimating the gender wage gap by introducing individual risk attitudes that is applied to representative Korean data. Design/methodology/approach - The selection bias via risk attitudes results in the overestimation of this wage gap. Women are more risk averse and hence prefer not to be active in the labour market or, if they are active, prefer to work in the public sector, where wages are generally lower than in the private sector. This paper explains the reduced gender wage gap by developing an appropriate sample-selection model, with wage decompositions corrected for selection. Findings - Self-selection based on risk attitudes is shown to partly explain the gap that is popularly perceived as reflecting gender discrimination. Originality/value - It is the first attempt to explain the gender wage gap by looking at the individual risk preference through work status selection.

Suggested Citation

  • SeEun Jung, 2017. "The gender wage gap and sample selection via risk attitudes," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(2), pages 318-335, May.
    • Handle: RePEc:eme:ijmpps:ijm-08-2015-0136
    DOI: 10.1108/IJM-08-2015-0136
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    Citations

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    Cited by:

    1. Paul Redmond & Seamus Mcguinness, 2019. "The Gender Wage Gap in Europe: Job Preferences, Gender Convergence and Distributional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 564-587, June.
    2. Edin, Per-Anders & Selin, Håkan, 2022. "Financial Risk-Taking and the Gender Wage Gap," Labour Economics, Elsevier, vol. 75(C).
    3. repec:dau:papers:123456789/15003 is not listed on IDEAS
    4. Thomas Meissner & Xavier Gassmann & Corinne Faure & Joachim Schleich, 2023. "Individual characteristics associated with risk and time preferences: A multi country representative survey," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 77-107, February.
    5. Isabelle Bensidoun & Danièle Trancart, 2015. "The Gender Wage Gap in France: the Role of Non-Cognitive Characteristics," Working Papers DT/2015/08, DIAL (Développement, Institutions et Mondialisation).
    6. Jung, SeEun & Choe, Chung & Oaxaca, Ronald L., 2018. "Gender wage gaps and risky vs. secure employment: An experimental analysis," Labour Economics, Elsevier, vol. 52(C), pages 112-121.
    7. Choe, Chung & Jung, SeEun & Oaxaca, Ronald L., 2022. "What's the Risk from Competing? Competition Aversion and the Gender Wage Gap," IZA Discussion Papers 15048, IZA Network @ LISER.

    More about this item

    Keywords

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    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
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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