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Gender, Income, and Numeracy Test Scores

Author

Listed:
  • Molly Paterson

    (Monash University)

  • Jaai Parasnis

    (Department of Economics, Monash University)

  • Michelle Rendall

    (Department of Economics, Monash University)

Abstract

The performance of students in numeracy tests reveals gaps based on students’ gender and household income. In this paper, using longitudinal data on Australian children, we show the interrelationship between (i) socioeconomic gaps based on early-life household income, and (ii) the gender gap in numeracy. We find that between Grades 3 to 9, boys have a distinct advantage in numeracy scores over girls, which widens over time. We also find that, by Grade 9, poorer female students are doubly disadvantaged. This disadvantage does not arise because of differences in socioeconomic status between boys and girls but because the effect of a lower socioeconomic background on test scores is significant only for girls. We find that mother’s education and labor force status play an important role in the emergence of gender gaps, at both ends (top and bottom) of the income distribution. We confirm that early life circumstances continue to impact student’s achievement well into adolescence and these exacerbate gender gaps, thus demonstrating the importance of targeted early interventions to address gaps in key skills acquisition for the modern economy.

Suggested Citation

  • Molly Paterson & Jaai Parasnis & Michelle Rendall, 2022. "Gender, Income, and Numeracy Test Scores," Monash Economics Working Papers 2022-02, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2022-02
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    References listed on IDEAS

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    1. Deborah A. Cobb-Clark & Julie Moschion, 2017. "Gender gaps in early educational achievement," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(4), pages 1093-1134, October.
    2. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    3. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.
    4. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    5. Bedard, Kelly & Cho, Insook, 2010. "Early gender test score gaps across OECD countries," Economics of Education Review, Elsevier, vol. 29(3), pages 348-363, June.
    6. Lei, Ziteng & Lundberg, Shelly, 2020. "Vulnerable Boys: Short-term and Long-term Gender Differences in the Impacts of Adolescent Disadvantage," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 424-448.
    7. Joseph G. Altonji & Erica Blom & Costas Meghir, 2012. "Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 185-223, July.
    8. Daniel Suryadarma, 2015. "Gender differences in numeracy in Indonesia: evidence from a longitudinal dataset," Education Economics, Taylor & Francis Journals, vol. 23(2), pages 180-198, April.
    9. Natalia Nollenberger & Núria Rodríguez-Planas & Almudena Sevilla, 2016. "The Math Gender Gap: The Role of Culture," American Economic Review, American Economic Association, vol. 106(5), pages 257-261, May.
    10. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    11. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    12. Lundborg, Petter & Plug, Erik & Rasmussen, Astrid Würtz, 2021. "On the Family Origins of Human Capital Formation: Evidence from Donor Children," IZA Discussion Papers 14708, Institute of Labor Economics (IZA).
    13. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher A. Neilson, 2016. "The Gender Gap in Mathematics: Evidence from Chile," Economic Development and Cultural Change, University of Chicago Press, vol. 65(1), pages 141-166.
    14. Shelly Lundberg, 2020. "Educational gender gaps," Southern Economic Journal, John Wiley & Sons, vol. 87(2), pages 416-439, October.
    15. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    16. Richard J. Murnane & John B. Willett & Yves Duhaldeborde & John H. Tyler, 2000. "How important are the cognitive skills of teenagers in predicting subsequent earnings?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 547-568.
    17. Raquel Fernández & Alessandra Fogli & Claudia Olivetti, 2004. "Mothers and Sons: Preference Formation and Female Labor Force Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1249-1299.
    18. Xiaodong Fan & Hanming Fang & Simen Markussen, 2015. "Mothers' Employment and Children's Educational Gender Gap," NBER Working Papers 21183, National Bureau of Economic Research, Inc.
    19. Sandra E. Black & Paul J. Devereux & Kjell G. Salvanes, 2005. "The More the Merrier? The Effect of Family Size and Birth Order on Children's Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 669-700.
    20. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    21. Pearce, Anna & Sawyer, Alyssa C.P. & Chittleborough, Catherine R. & Mittinty, Murthy N. & Law, Catherine & Lynch, John W., 2016. "Do early life cognitive ability and self-regulation skills explain socio-economic inequalities in academic achievement? An effect decomposition analysis in UK and Australian cohorts," Social Science & Medicine, Elsevier, vol. 165(C), pages 108-118.
    22. Marianne Bertrand, 2020. "Gender in the Twenty-First Century," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 1-24, May.
    23. Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
    24. Kitae Sohn, 2012. "A New Insight Into The Gender Gap In Math," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 135-155, January.
    25. Zoltan Hermann & Marianna Kopasz, 2018. "Educational policies and the gender gap in test scores: A cross-country analysis," Budapest Working Papers on the Labour Market 1805, Institute of Economics, Centre for Economic and Regional Studies.
    26. Gordon B. Dahl & Lance Lochner, 2017. "The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit: Reply," American Economic Review, American Economic Association, vol. 107(2), pages 629-631, February.
    27. James J. Heckman & Alan B. Krueger, 2005. "Inequality in America: What Role for Human Capital Policies?," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582600 edited by Benjamin M. Friedman, April.
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    More about this item

    Keywords

    Australia; parental education; household income; numeracy; gender;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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