IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10889.html
   My bibliography  Save this paper

The Timing of Puberty and Gender Differences in Educational Achievement

Author

Listed:
  • Koerselman, Kristian

    (University of Jyväskylä)

  • Pekkarinen, Tuomas

    (VATT, Helsinki)

Abstract

In this paper, we study the effect of the timing of puberty on educational achievement and examine to what extent the gender differences in the timing of puberty can explain gender differences in achievement. We use British cohort data that combine information on pubertal development with test scores, behavioral outcomes as well as final educational attainment and earnings. Controlling for age 7 cognitive skills and family background, we show that late pubertal development is associated with a slower rate of cognitive skill growth during adolescence. This disadvantage in cognitive development is also reflected in lower levels of educational attainment and earnings for late developed individuals. The number of late developing boys is however too small to explain more than a fraction of the gender gap in educational outcomes. Furthermore, we find no effects on self-discipline or other behavioral outcomes in adolescence, suggesting a mechanism wholly separate from other causes of the gender gap.

Suggested Citation

  • Koerselman, Kristian & Pekkarinen, Tuomas, 2017. "The Timing of Puberty and Gender Differences in Educational Achievement," IZA Discussion Papers 10889, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10889
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10889.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Brian A. Jacob, 2002. "Where the boys aren't: Non-cognitive skills, returns to school and the gender gap in higher education," NBER Working Papers 8964, National Bureau of Economic Research, Inc.
    2. Jacob, Brian A., 2002. "Where the boys aren't: non-cognitive skills, returns to school and the gender gap in higher education," Economics of Education Review, Elsevier, vol. 21(6), pages 589-598, December.
    3. Dreber, Anna & von Essen, Emma & Ranehill, Eva, 2011. "Age at pubertal onset and educational outcomes," Research Papers in Economics 2011:26, Stockholm University, Department of Economics.
    4. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2004. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1019-1053, October.
    5. Anne Case & Christina Paxson, 2008. "Stature and Status: Height, Ability, and Labor Market Outcomes," Journal of Political Economy, University of Chicago Press, vol. 116(3), pages 499-532, June.
    6. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2001. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height, Third Version," PIER Working Paper Archive 04-013, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 15 Mar 2004.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dominique Sulzmaier, 2020. "The causal effect of early tracking in German schools on the intergenerational transmission of education," Working Papers 187, Bavarian Graduate Program in Economics (BGPE).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. LIU Xing & SIERMINSKA Eva, 2014. "Evaluating the effect of beauty on labor market outcomes: A review of the literature," LISER Working Paper Series 2014-11, Luxembourg Institute of Socio-Economic Research (LISER).
    2. Böckerman, Petri & Vainiomäki, Jari, 2013. "Stature and life-time labor market outcomes: Accounting for unobserved differences," Labour Economics, Elsevier, vol. 24(C), pages 86-96.
    3. Jun Wang & Qihui Chen & Gang Chen & Yingxiang Li & Guoshu Kong & Chen Zhu, 2020. "What is creating the height premium? New evidence from a Mendelian randomization analysis in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.
    4. Rees, Daniel I. & Sabia, Joseph J. & Argys, Laura M., 2009. "A head above the rest: Height and adolescent psychological well-being," Economics & Human Biology, Elsevier, vol. 7(2), pages 217-228, July.
    5. Belot, Michèle & Fidrmuc, Jan, 2010. "Anthropometry of love: Height and gender asymmetries in interethnic marriages," Economics & Human Biology, Elsevier, vol. 8(3), pages 361-372, December.
    6. Grace Wyshak, 2014. "Height, Socioeconomic and Subjective Well-Being Factors among U.S. Women, Ages 49–79," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-17, June.
    7. Anne Case & Christina Paxson, 2010. "Causes and consequences of early-life health," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 65-85, March.
    8. Thompson, Kristina & Koolman, Xander & Portrait, France, 2021. "Height and marital outcomes in the Netherlands, birth years 1841-1900," Economics & Human Biology, Elsevier, vol. 41(C).
    9. Phadera, Lokendra, 2021. "Unfortunate Moms and Unfortunate Children: Impact of the Nepali Civil War on Women's Stature and Intergenerational Health," Journal of Health Economics, Elsevier, vol. 76(C).
    10. LaFave, Daniel & Thomas, Duncan, 2017. "Height and cognition at work: Labor market productivity in a low income setting," Economics & Human Biology, Elsevier, vol. 25(C), pages 52-64.
    11. Yamamura, Eiji & Smyth, Russell & Zhang, Yan, 2015. "Decomposing the effect of height on income in China: The role of market and political channels," Economics & Human Biology, Elsevier, vol. 19(C), pages 62-74.
    12. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    13. Rashad, Inas, 2008. "Height, health, and income in the US, 1984-2005," Economics & Human Biology, Elsevier, vol. 6(1), pages 108-126, March.
    14. Böckerman, Petri & Johansson, Edvard & Kiiskinen, Urpo & Heliövaara, Markku, 2010. "The relationship between physical work and the height premium: Finnish evidence," Economics & Human Biology, Elsevier, vol. 8(3), pages 414-420, December.
    15. Betsey Stevenson, 2010. "Beyond the Classroom: Using Title IX to Measure the Return to High School Sports," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 284-301, May.
    16. Rees, Daniel I. & Sabia, Joseph J., 2010. "Sports participation and academic performance: Evidence from the National Longitudinal Study of Adolescent Health," Economics of Education Review, Elsevier, vol. 29(5), pages 751-759, October.
    17. Husain, Muhammad Jami, 2010. "Contribution of health to economic development: A survey and overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-52.
    18. Michael Baker & Kirsten Cornelson, 2019. "The Tall and the Short of the Returns to Height," NBER Working Papers 26325, National Bureau of Economic Research, Inc.
    19. Michael Baker & Kirsten Cornelson, 2018. "Gender-Based Occupational Segregation and Sex Differences in Sensory, Motor, and Spatial Aptitudes," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1749-1775, October.
    20. Steckel, Richard H., 2009. "Heights and human welfare: Recent developments and new directions," Explorations in Economic History, Elsevier, vol. 46(1), pages 1-23, January.

    More about this item

    Keywords

    education; gender; adolescence; puberty; cognitive skills; non-cognitive skills; attainment; earnings;
    All these keywords.

    JEL classification:

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

    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:iza:izadps:dp10889. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.