IDEAS home Printed from https://ideas.repec.org/p/ags/quedwp/273515.html
   My bibliography  Save this paper

The Impact of Poor Health on Education: New Evidence Using Genetic Markers

Author

Listed:
  • Ding, Weili
  • Lehrer, Steven
  • Rosenquist, J. Niles

Abstract

This paper examines the influence of health conditions on academic performance during adolescence. To account for the endogeneity of health outcomes and their interactions with risky behaviors we exploit natural variation within a set of genetic markers across individuals. We present strong evidence that these genetic markers serve as valid instruments with good statistical properties for ADHD, depression and obesity. They help to reveal a new dynamism from poor health to lower academic achievement with substantial heterogeneity in their impacts across genders. Our investigation further exposes the considerable challenges in identifying health impacts due to the prevalence of comorbid health conditions and endogenous health behaviors.

Suggested Citation

  • Ding, Weili & Lehrer, Steven & Rosenquist, J. Niles, 2006. "The Impact of Poor Health on Education: New Evidence Using Genetic Markers," Queen's Economics Department Working Papers 273515, Queen's University - Department of Economics.
  • Handle: RePEc:ags:quedwp:273515
    DOI: 10.22004/ag.econ.273515
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273515/files/qed_wp_1045.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.273515?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
    ---><---

    Citations

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


    Cited by:

    1. Jona Schellekens & Anat Ziv, 2020. "The role of education in explaining trends in self-rated health in the United States, 1972–2018," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(12), pages 383-398.
    2. Fang Chang & Yaojiang Shi & Amber Shen & Asa Kohrman & Katherine Li & Qinqin Wan & Kaleigh Kenny & Scott Rozelle, 2019. "Understanding the Situation of China's Left‐Behind Children: A Mixed‐Methods Analysis," The Developing Economies, Institute of Developing Economies, vol. 57(1), pages 3-35, March.
    3. Timothy M. Diette & Arthur H. Goldsmith & Darrick Hamilton & William Darity Jr. & Katherine McFarland, 2014. "Stalking: Does it Leave a Psychological Footprint?," Social Science Quarterly, Southwestern Social Science Association, vol. 95(2), pages 563-580, June.

    More about this item

    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:ags:quedwp:273515. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.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.