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Glass ceilings in research: Evidence from a national program in Uruguay

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  • Bukstein, Daniel
  • Gandelman, Néstor

Abstract

Female researchers have lower probability than male researchers of being accepted into the largest national research support program in Uruguay. Age, scientific productivity, teaching activities and previous applications explains 5.2 percentage points of the 7.1 point gender acceptance probability gap. The remaining 1.9% can be attributed to gender discrimination. This phenomenon is stronger at the top 2 levels (out of 4) of the program evidencing glass ceilings. Results are robust to issues of simultaneity (research productivity affecting probability of being accepted and vice versa), joint determination and correlation of variables and productivity effects at early stages of career development. The paper tests four hypotheses that are likely to produce a glass ceiling in any R&D incentive schemes: male overrepresentation in the initial setup of the program, male overrepresentation on evaluation committees and two types of field-level effects (a pure composition effect without discrimination and differentiated discriminatory effects by fields). We show evidence of gender bias in the initial setup of the program and bias in the gender structure of committees. Nevertheless, these hypotheses have little quantitative power to explain the glass ceiling. The pure field composition effect is also not important. We find solid evidence of glass ceilings in the three areas where women are most active: health-related sciences, natural sciences and humanities. On the other hand, we find no such effects in social sciences, agricultural sciences or engineering.

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  • Bukstein, Daniel & Gandelman, Néstor, 2019. "Glass ceilings in research: Evidence from a national program in Uruguay," Research Policy, Elsevier, vol. 48(6), pages 1550-1563.
  • Handle: RePEc:eee:respol:v:48:y:2019:i:6:p:1550-1563
    DOI: 10.1016/j.respol.2019.03.007
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    2. Chaojiang Wu & Erjia Yan & Yongjun Zhu & Kai Li, 2021. "Gender imbalance in the productivity of funded projects: A study of the outputs of National Institutes of Health R01 grants," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(11), pages 1386-1399, November.
    3. Santiago Burone & Luciana Méndez, 2021. "Are women and men equally happy at work? Evidence from PhD holders working at the university. The case of Uruguay," Documentos de Trabajo (working papers) 21-06, Instituto de Economía - IECON.
    4. Verónica Amarante & Marisa Bucheli & María Inés Moraes & Tatiana Pérez, 2021. "Women in Research in Economics in Uruguay," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(84), pages 763-790, October.
    5. Burone, Santiago & Méndez, Luciana, 2022. "Are women and men equally happy at work? Evidence from PhD holders at a public university in Uruguay," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    6. Fernandes, Mario & Hilber, Simon & Sturm, Jan-Egbert & Walter, Andreas, 2023. "Closing the gender gap in academia? Evidence from an affirmative action program," Research Policy, Elsevier, vol. 52(9).
    7. Domingo Sifontes & Rosa Morales, 2020. "Gender differences and patenting in Latin America: understanding female participation in commercial science," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2009-2036, September.
    8. Auschra, Carolin & Bartosch, Julia & Lohmeyer, Nora, 2022. "Differences in female representation in leading management and organization journals: Establishing a benchmark," Research Policy, Elsevier, vol. 51(3).

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    More about this item

    Keywords

    Gender discrimination; Glass ceiling; Probability decomposition; Science and technology; Academia; Sistema Nacional de investigadores (SNI); Uruguay;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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