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The glass drop ceiling: composition effects or implicit discrimination?

Author

Listed:
  • Claudia Biancotti

    (Bank of Italy)

  • Giuseppe Ilardi

    (Bank of Italy)

  • Clair Lavinia Moscatelli

    (Bank of Italy)

Abstract

We analyze data from the Bank of Italy's most recent recruitment rounds, in an effort to explain why men consistently score better than women. We focus on the pre-screening stage of the hiring process, a multiple-choice test, where men acquire a preliminary advantage. After observing a higher incidence of questions left blank for women, and a negative correlation between the share of unanswered questions and the final score, we run an experiment on scoring formulas to check for implicit discrimination linked to risk aversion; no evidence of such discrimination is found. Based on a follow-up questionnaire, we also study the role of composition effects. Nearly 40 per cent of the gap in test scores depends on the quality of the candidates: male graduates appear to self-select into the applicant pool more frequently than females do. A further 34 per cent is explained by the fact that the same characteristics tend to produce different effects based on gender. The remaining 26 per cent remains unexplained

Suggested Citation

  • Claudia Biancotti & Giuseppe Ilardi & Clair Lavinia Moscatelli, 2013. "The glass drop ceiling: composition effects or implicit discrimination?," Questioni di Economia e Finanza (Occasional Papers) 182, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_182_13
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    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2013-0182/QEF_182_ITA.pdf
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    1. Lori Beaman & Raghabendra Chattopadhyay & Esther Duflo & Rohini Pande & Petia Topalova, 2009. "Powerful Women: Does Exposure Reduce Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1497-1540.
    2. Alison L. Booth & Patrick Nolen, 2012. "Gender differences in risk behaviour: does nurture matter?," Economic Journal, Royal Economic Society, vol. 122(558), pages 56-78, February.
    3. Roland Bénabou & Jean Tirole, 2011. "Identity, Morals, and Taboos: Beliefs as Assets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 805-855.
    4. Christine Jolls & Cass R. Sunstein, 2006. "Debiasing through Law," The Journal of Legal Studies, University of Chicago Press, vol. 35(1), pages 199-242, January.
    5. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    6. Renate Schubert, 1999. "Financial Decision-Making: Are Women Really More Risk-Averse?," American Economic Review, American Economic Association, vol. 89(2), pages 381-385, May.
    7. Nixon Chan & Peter E. Kennedy, 2002. "Are Multiple-Choice Exams Easier for Economics Students? A Comparison of Multiple-Choice and “Equivalent” Constructed-Response Exam Questions," Southern Economic Journal, John Wiley & Sons, vol. 68(4), pages 957-971, April.
    8. Jianakoplos, Nancy Ammon & Bernasek, Alexandra, 1998. "Are Women More Risk Averse?," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 620-630, October.
    9. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    10. Marianne Bertrand & Dolly Chugh & Sendhil Mullainathan, 2005. "Implicit Discrimination," American Economic Review, American Economic Association, vol. 95(2), pages 94-98, May.
    11. Espinosa Alejos, María Paz & Gardeazabal, Javier, 2007. "Optimal Correction for Guessing in Multiple-Choice Tests," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    12. Nicole M Fortin, 2005. "Gender Role Attitudes and the Labour-market Outcomes of Women across OECD Countries," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(3), pages 416-438, Autumn.
    13. Richard P. Hinz & David D. McCarthy & John A. Turner, "undated". "Are Women Conservative Investors? Gender Differences in Participant Directed Pension Investments," Pension Research Council Working Papers 96-17, Wharton School Pension Research Council, University of Pennsylvania.
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    Cited by:

    1. Silvia Del Prete & Maria Lucia Stefani, 2015. "Women as ‘gold dust’: gender diversity in top boards and the performance of Italian banks," Temi di discussione (Economic working papers) 1014, Bank of Italy, Economic Research and International Relations Area.
    2. Silvia Del Prete & Maria Lucia Stefani, 2021. "Women as “gold dust”: Gender diversity in top boards and the performance of Italian banks," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 50(2), July.

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    More about this item

    Keywords

    implicit discrimination; risk aversion; self-esteem; gender; multiple-choice tests.;
    All these keywords.

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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