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A population level analysis of the gender gap in mathematics: Results on over 13 million children using the INVALSI dataset

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  • Giofrè, D.
  • Cornoldi, C.
  • Martini, A.
  • Toffalini, E.

Abstract

Whether males outperform females in mathematics is still debated. Such a gender gap varies across countries, but the determinants of the differences are unclear and could be produced by heterogeneity in the instructional systems or cultures and may vary across school grades. To clarify this issue, we took advantage of the INVALSI dataset, that offered over 13 million observations covering one single instructional system (i.e., the Italian system) in grades 2, 5, and 8, in the period 2010–2018. Results showed that males outperformed females in mathematics (and vice versa in reading), with gaps widening from the 2nd through to the 8th grade. The gender gap in mathematics was larger in the richer northern Italian regions (also characterized by greater gender equality) than in southern regions. This was not explained by average performance or fully accounted for by economic factors. No such north-south difference of the gap emerged in reading. Results are discussed with reference to the literature showing that the gender gap varies across world regions.

Suggested Citation

  • Giofrè, D. & Cornoldi, C. & Martini, A. & Toffalini, E., 2020. "A population level analysis of the gender gap in mathematics: Results on over 13 million children using the INVALSI dataset," Intelligence, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300453
    DOI: 10.1016/j.intell.2020.101467
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    References listed on IDEAS

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    1. Emanuele Felice, 2012. "Regional convergence in Italy, 1891–2001: testing human and social capital," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(3), pages 267-306, October.
    2. Daniele Checchi & Vito Peragine, 2010. "Inequality of opportunity in Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 429-450, December.
    3. Gijsbert Stoet & David C Geary, 2013. "Sex Differences in Mathematics and Reading Achievement Are Inversely Related: Within- and Across-Nation Assessment of 10 Years of PISA Data," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    4. Thomas Breda & Elyes Jouini & Clotilde Napp, 2018. "Societal inequalities amplify gender gaps in math," PSE-Ecole d'économie de Paris (Postprint) hal-01745438, HAL.
    5. Breda, Thomas & Napp, Clotilde, 2019. "Girls' Comparative Advantage in Reading Can Largely Account for the Gender Gap in Math-Intensive Fields," IZA Discussion Papers 12503, Institute of Labor Economics (IZA).
    6. Emanuele Felice, 2011. "Regional value added in Italy, 1891–2001, and the foundation of a long‐term picture," Economic History Review, Economic History Society, vol. 64(3), pages 929-950, August.
    7. Clotilde Napp & Thomas Breda, 2019. "Girls' comparative advantage in reading can largely explain the gender gap in math-intensive fields," Post-Print hal-02307506, HAL.
    8. Thomas Breda & Clotilde Napp, 2019. "Girls’ comparative advantage in reading can largely explain the gender gap in math-related fields," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(31), pages 15435-15440, July.
    9. van der Linden, Dimitri & Dunkel, Curtis S. & Madison, Guy, 2017. "Sex differences in brain size and general intelligence (g)," Intelligence, Elsevier, vol. 63(C), pages 78-88.
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    Cited by:

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    2. Giofrè, D. & Allen, K. & Toffalini, E. & Mammarella, I.C. & Caviola, S., 2022. "Decoding gender differences: Intellectual profiles of children with specific learning disabilities," Intelligence, Elsevier, vol. 90(C).
    3. Daniel Doz & Darjo Felda & Mara Cotič, 2023. "Demographic Factors Affecting Fuzzy Grading: A Hierarchical Linear Regression Analysis," Mathematics, MDPI, vol. 11(6), pages 1-19, March.
    4. Feraco, Tommaso & Cona, Giorgia, 2022. "Differentiation of general and specific abilities in intelligence. A bifactor study of age and gender differentiation in 8- to 19-year-olds," Intelligence, Elsevier, vol. 94(C).
    5. Daniel Doz & Mara Cotič & Darjo Felda, 2023. "Random Forest Regression in Predicting Students’ Achievements and Fuzzy Grades," Mathematics, MDPI, vol. 11(19), pages 1-19, September.

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