IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v56y2017icp1-8.html
   My bibliography  Save this article

The influence of height on academic outcomes

Author

Listed:
  • Gorry, Devon

Abstract

This paper examines whether the height premium for academic outcomes is driven by unequal opportunities for tall individuals. Using data from the National Longitudinal Survey of Adolescent Health, this paper shows that taller individuals typically earn higher grades and attain more schooling, but the associations are not uniform across school size. Height is only associated with better outcomes for students attending large schools and these improvements are concentrated among males. Data suggest that height contributes more to sports participation and school satisfaction in large schools where resources are more scarce. Thus, differential opportunities or treatment across height in large schools may drive the performance differences.

Suggested Citation

  • Gorry, Devon, 2017. "The influence of height on academic outcomes," Economics of Education Review, Elsevier, vol. 56(C), pages 1-8.
  • Handle: RePEc:eee:ecoedu:v:56:y:2017:i:c:p:1-8
    DOI: 10.1016/j.econedurev.2016.11.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775715301448
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2016.11.002?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. repec:pri:rpdevs:case_paxson_cog_function_additional.pdf is not listed on IDEAS
    2. Case, Anne & Paxson, Christina & Islam, Mahnaz, 2009. "Making sense of the labor market height premium: Evidence from the British Household Panel Survey," Economics Letters, Elsevier, vol. 102(3), pages 174-176, March.
    3. 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.
    4. Anne Case & Christina Paxson, 2008. "Height, Health, and Cognitive Function at Older Ages," American Economic Review, American Economic Association, vol. 98(2), pages 463-467, May.
    5. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    6. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    7. Andrew Postlewaite & Dan Silverman, 2005. "Social isolation and inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(3), pages 243-262, December.
    8. 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.
    9. 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.
    10. 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.
    11. repec:pri:rpdevs:case_paxson_cog_function_additional is not listed on IDEAS
    12. 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.
    13. repec:pri:rpdevs:case_paxson_height_health_and_cognitive_function.pdf is not listed on IDEAS
    14. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    15. repec:pri:cheawb:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    16. repec:pri:rpdevs:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    17. 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.
    18. John M. Barron & Bradley T. Ewing & Glen R. Waddell, 2000. "The Effects Of High School Athletic Participation On Education And Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 409-421, August.
    19. Long, James E & Caudill, Steven B, 1991. "The Impact of Participation in Intercollegiate Athletics on Income and Graduation," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 525-531, August.
    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. Amin, Vikesh & Fletcher, Jason M., 2022. "What is driving the relationship between height and cognition? Evidence from the Twins Early Development Study," Economics & Human Biology, Elsevier, vol. 47(C).
    2. Ogórek, Bartosz, 2019. "Talented but lazy. The height-school premium among Cracow’s schoolboys in the interwar period," Economics & Human Biology, Elsevier, vol. 34(C), pages 252-256.
    3. Stephanie Coffey & Amy Ellen Schwartz, 2021. "Towering Intellects? Sizing Up the Relationship Between Height and Academic Success," Center for Policy Research Working Papers 244, Center for Policy Research, Maxwell School, Syracuse University.
    4. Richard W. DiSalvo & Jing Che, 2022. "Causal inference on the engagement effects of athletic participation from within‐student variation," Economic Inquiry, Western Economic Association International, vol. 60(4), pages 1911-1928, October.
    5. Martin B. Schmidt, 2021. "On the evolution of athlete anthropometric measurements: racial integration, expansion, and steroids," Empirical Economics, Springer, vol. 61(6), pages 3419-3443, December.

    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. 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.
    2. Cinnirella, Francesco & Piopiunik, Marc & Winter, Joachim, 2011. "Why does height matter for educational attainment? Evidence from German children," Economics & Human Biology, Elsevier, vol. 9(4), pages 407-418.
    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. Sohn, Kitae, 2015. "The height premium in Indonesia," Economics & Human Biology, Elsevier, vol. 16(C), pages 1-15.
    5. 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.
    6. Thompson, Kristina & Portrait, France & Schoonmade, Linda, 2023. "The height premium: A systematic review and meta-analysis," Economics & Human Biology, Elsevier, vol. 50(C).
    7. 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.
    8. Pfeifer, Christian & Cornelißen, Thomas, 2010. "The impact of participation in sports on educational attainment--New evidence from Germany," Economics of Education Review, Elsevier, vol. 29(1), pages 94-103, February.
    9. Yang, Xiao & Gao, Jian & Liu, Jin-Hu & Zhou, Tao, 2018. "Height conditions salary expectations: Evidence from large-scale data in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 86-97.
    10. Mario Nosvelli, 2023. "Mens sana in corpore sano: the effects of sport on children’s learning in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 703-729, July.
    11. Murasko, Jason E., 2009. "Socioeconomic status, height, and obesity in children," Economics & Human Biology, Elsevier, vol. 7(3), pages 376-386, December.
    12. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
    13. Mosca, Irene & Wright, Robert E., 2016. "Height and cognition at older ages: Irish evidence," Economics Letters, Elsevier, vol. 149(C), pages 98-101.
    14. Rietveld, Cornelius A. & Hessels, Jolanda & van der Zwan, Peter, 2015. "The stature of the self-employed and its relation with earnings and satisfaction," Economics & Human Biology, Elsevier, vol. 17(C), pages 59-74.
    15. Ogórek, Bartosz, 2019. "Talented but lazy. The height-school premium among Cracow’s schoolboys in the interwar period," Economics & Human Biology, Elsevier, vol. 34(C), pages 252-256.
    16. Vasilios Kosteas, 2012. "The Effect of Exercise on Earnings: Evidence from the NLSY," Journal of Labor Research, Springer, vol. 33(2), pages 225-250, June.
    17. Ransom, Michael R & Ransom, Tyler, 2018. "Do high school sports build or reveal character? Bounding causal estimates of sports participation," Economics of Education Review, Elsevier, vol. 64(C), pages 75-89.
    18. 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.
    19. 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.
    20. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2013. "Child height, health and human capital: Evidence using genetic markers," European Economic Review, Elsevier, vol. 57(C), pages 1-22.

    More about this item

    Keywords

    Height; Education; School Size;
    All these keywords.

    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:ecoedu:v:56:y:2017:i:c:p:1-8. 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/econedurev .

    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.