IDEAS home Printed from https://ideas.repec.org/p/inh/wpaper/2017-7.html

Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis

Author

Listed:
  • SeEun Jung

    (Department of Economics, Inha University)

  • Chung Choe

    (Hanyang University)

  • Ronald L. Oaxaca

    (University of Arizona)

Abstract

In addition to discrimination, market power, and human capital, gender differences in risk preferences might also contribute to observed gender wage gaps. We conduct laboratory experiments in which subjects choose between a risky (in terms of exposure to unemployment) and a secure job after being assigned in early rounds to both types of jobs. Both jobs involve the same typing task. The risky job adds the element of a known probability that the typing opportunity will not be available in any given period. Subjects were informed of the exogenous risk premium being offered for the risky job. Women were more likely than men to select the secure job, and these job choices accounted for between 40% and 77% of the gender wage gap in the experiments. That women were more risk averse than men was also manifest in the Pratt-Arrow Constant Absolute Risk Aversion parameters estimated from a random utility model adaptation of the mean-variance portfolio model.

Suggested Citation

  • SeEun Jung & Chung Choe & Ronald L. Oaxaca, 2017. "Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis," Inha University IBER Working Paper Series 2017-7, Inha University, Institute of Business and Economic Research, revised Jul 2017.
  • Handle: RePEc:inh:wpaper:2017-7
    as

    Download full text from publisher

    File URL: https://drive.google.com/open?id=0B39YVuPWzf0Zay1OMUhJeTRTZ2c
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis
      by maximorossi in NEP-LTV blog on 2016-08-30 19:57:07
    2. Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis
      by maximorossi in NEP-LTV blog on 2018-04-09 18:38:06

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. is not listed on IDEAS
    2. Chung Choe & SeEun Jung & Ronald L. Oaxaca, 2020. "Identification and decompositions in probit and logit models," Empirical Economics, Springer, vol. 59(3), pages 1479-1492, September.
    3. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2024. "Who Suffers the Most During the COVID‐19 Pandemic? Evidence From Thailand," The Developing Economies, Institute of Developing Economies, vol. 62(3), pages 238-268, September.
    4. Klavs Ciprikis & Damien Cassells & Jenny Berrill, 2020. "Transgender labour market outcomes: Evidence from the United States," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1378-1401, November.
    5. Mari, Gabriele, 2020. "Working-time flexibility is (not the same) for all: Evidence from a right-to-request reform," SocArXiv bnp9r, Center for Open Science.
    6. Catherine Eckel & Lata Gangadharan & Philip J. Grossman & Nina Xue, 2021. "The gender leadership gap: insights from experiments," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 7, pages 137-162, Edward Elgar Publishing.
    7. Abrahams, Scott, 2024. "An analysis of the gender layoff gap implied by a gender gap in wage bargaining," Economics Letters, Elsevier, vol. 234(C).
    8. Cetre, Sophie & Lobeck, Max & Senik, Claudia & Verdier, Thierry, 2019. "Preferences over income distribution: Evidence from a choice experiment," Journal of Economic Psychology, Elsevier, vol. 74(C).
    9. Smyk, Magdalena, . "Czy posłuchałbyś tej rady? Stosunek do formalnego i nieformalnego doradztwa zawodowego w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2024(3).
    10. Getahun, Tigabu D. & Fetene, Gebeyehu M. & Baumüller, Heike & Kubik, Zaneta, 2024. "Gender gaps in wages and nonmonetary benefits: Evidence from Ethiopia’s manufacturing sector," Discussion Papers 344126, University of Bonn, Center for Development Research (ZEF).
    11. Ksenia V. Rozhkova & Natalya Yemelina & Sergey Yu. Roshchin, 2021. "Can Non-Cognitive Skills Explain The Gender Wage Gap In Russia? An Unconditional Quantile Regression Approach," HSE Working papers WP BRP 252/EC/2021, National Research University Higher School of Economics.
    12. Kenza Elass, 2023. "What do women want in a job? Gender-biased preferences and the reservation wage gap," French Stata Users' Group Meetings 2023 15, Stata Users Group.
    13. Kamal, Mustafa & Blacklow, Paul, 2022. "Self-control and risk aversion in the Australian gender wage gap," Working Papers 2022-01, University of Tasmania, Tasmanian School of Business and Economics.
    14. Magdalena Smyk, 2024. "Would You Follow the Advice? Attitudes Towards Formal and Informal Career Counseling in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 33-55.
    15. Quintero, Diana & Hansen, Michael & Zerbino, Nicolas, 2024. "Uncovering the sources of gender earnings gaps among teachers: The role of compensation off the salary schedule," Economics of Education Review, Elsevier, vol. 103(C).
    16. 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, Institute of Labor Economics (IZA).
    17. Dorothée Averkamp & Christian Bredemeier & Falko Juessen, 2024. "Decomposing gender wage gaps: a family economics perspective," Scandinavian Journal of Economics, Wiley Blackwell, vol. 126(1), pages 3-37, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • 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
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inh:wpaper:2017-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bogang Jun (email available below). General contact details of provider: https://edirc.repec.org/data/deinhkr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.