IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v54y2018icp1-13.html
   My bibliography  Save this article

Cognitive consequences of the timing of puberty

Author

Listed:
  • Koerselman, Kristian
  • Pekkarinen, Tuomas

Abstract

In this paper, we use British cohort data to study the degree to which children at different stages of pubertal development at age 11 and 16 differ in their cognitive and behavioral outcomes at age 16 as well as in their completed educational attainment and adult earnings. Controlling for age 7 cognitive skills, region of birth, father’s socioeconomic status and parents’ education, we show that boys’ late pubertal development is associated with lower levels of cognitive skills at 16, lower final educational attainment, and lower earnings in adulthood. For girls we find a similar negative relationship between late puberty and cognitive skills, but only imprecise relationships between the timing of puberty and adult outcomes. We fail to find evidence of strong associations with either motivation or problem behavior in adolescence for either gender, suggesting a more direct link between pubertal and cognitive development.

Suggested Citation

  • Koerselman, Kristian & Pekkarinen, Tuomas, 2018. "Cognitive consequences of the timing of puberty," Labour Economics, Elsevier, vol. 54(C), pages 1-13.
  • Handle: RePEc:eee:labeco:v:54:y:2018:i:c:p:1-13
    DOI: 10.1016/j.labeco.2018.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927537118300411
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2018.05.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tuomas Pekkarinen, 2008. "Gender Differences in Educational Attainment: Evidence on the Role of Tracking from a Finnish Quasi‐experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 807-825, December.
    2. 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.
    3. 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.
    4. 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.
    5. Lundberg, Shelly, 2017. "Father Absence and the Educational Gender Gap," IZA Discussion Papers 10814, Institute of Labor Economics (IZA).
    6. Almond, Douglas & Currie, Janet, 2011. "Human Capital Development before Age Five," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 15, pages 1315-1486, Elsevier.
    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. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2023. "Adolescent development and the math gender gap," European Economic Review, Elsevier, vol. 158(C).
    2. Holmes, Chanita C. & Tracey, Marlon R. & Belasen, Ariel R., 2020. "The value of early physical maturity to young adult labor market outcomes," Economics & Human Biology, Elsevier, vol. 37(C).

    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. A. Balietti & S. Datta & S. Veljanoska, 2022. "Air pollution and child development in India," Post-Print hal-03662124, HAL.
    2. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    3. Balietti, Anca & Datta, Souvik & Veljanoska, Stefanija, 2022. "Air pollution and child development in India," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    4. Lång, Elisabeth & Nystedt, Paul, 2018. "Two by two, inch by inch: Height as an indicator of environmental conditions during childhood and its influence on earnings over the life cycle among twins," Economics & Human Biology, Elsevier, vol. 28(C), pages 53-66.
    5. Petter Lundborg & Carl Hampus Lyttkens & Paul Nystedt, 2016. "The Effect of Schooling on Mortality: New Evidence From 50,000 Swedish Twins," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1135-1168, August.
    6. Janet Currie & Tom Vogl, 2013. "Early-Life Health and Adult Circumstance in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 1-36, May.
    7. 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.
    8. 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.
    9. Dechter, Evgenia Kogan, 2015. "Physical appearance and earnings, hair color matters," Labour Economics, Elsevier, vol. 32(C), pages 15-26.
    10. Suyong Song & Stephen S. Baek, 2019. "Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship," Papers 1906.06747, arXiv.org.
    11. 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.
    12. Gabriella Conti & Mark Hanson & Hazel Inskip & Sarah Crozier & Cyrus Cooper & Keith Godfrey, 2018. "Beyond Birth Weight: The Origins of Human Capital," Working Papers 2018-089, Human Capital and Economic Opportunity Working Group.
    13. Elif S. Filiz, 2022. "Does it Payoff to be Blond in a Non-Blond Neighborhood? Eye Color, Hair Color, Ethnic Composition and Starting Wages," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(1), pages 122-146, January.
    14. Andreas Schick & Richard H. Steckel, 2015. "Height, Human Capital, and Earnings: The Contributions of Cognitive and Noncognitive Ability," Journal of Human Capital, University of Chicago Press, vol. 9(1), pages 94-115.
    15. Chen, Alice J., 2012. "When does weight matter most?," Journal of Health Economics, Elsevier, vol. 31(1), pages 285-295.
    16. 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.
    17. Heineck, Guido, 2009. "Too tall to be smart? The relationship between height and cognitive abilities," Economics Letters, Elsevier, vol. 105(1), pages 78-80, October.
    18. Petter Lundborg & Paul Nystedt & Dan-Olof Rooth, 2014. "Body Size, Skills, and Income: Evidence From 150,000 Teenage Siblings," Demography, Springer;Population Association of America (PAA), vol. 51(5), pages 1573-1596, October.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Puberty; Gender; Adolescence; 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

    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:eee:labeco:v:54:y:2018:i:c:p:1-13. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/labeco .

    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.