IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v244y2024ics0165176524004841.html
   My bibliography  Save this article

Gender and socioeconomic dimensions of relative age effects on ADHD prescriptions: Evidence from Denmark

Author

Listed:
  • Thide, Konrad Juel
  • Bøgh, Felix Johannes Pettersson
  • Larsen, Birthe

Abstract

This paper examines the impact of relative age on Attention Deficit Hyperactivity Disorder (ADHD) prescriptions among school-aged children. Using a regression discontinuity design, we leverage the quasi-experimental variation in school starting age. We use administrative data for all children aged 6–16 from 2010 to 2019 in Denmark. We find a significant decrease in ADHD prescription rates for girls who are relatively old compared to their class mates. We do not find any significant results for boys. We further test the social gradient in relative age on ADHD prescriptions and find that the effect is entirely driven by girls from low income families.

Suggested Citation

  • Thide, Konrad Juel & Bøgh, Felix Johannes Pettersson & Larsen, Birthe, 2024. "Gender and socioeconomic dimensions of relative age effects on ADHD prescriptions: Evidence from Denmark," Economics Letters, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:ecolet:v:244:y:2024:i:c:s0165176524004841
    DOI: 10.1016/j.econlet.2024.112000
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176524004841
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2024.112000?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. Elder, Todd E., 2010. "The importance of relative standards in ADHD diagnoses: Evidence based on exact birth dates," Journal of Health Economics, Elsevier, vol. 29(5), pages 641-656, September.
    2. Schwandt, Hannes & Wuppermann, Amelie, 2016. "The youngest get the pill: ADHD misdiagnosis in Germany, its regional correlates and international comparison," Labour Economics, Elsevier, vol. 43(C), pages 72-86.
    3. Dalsgaard, Søren & Humlum, Maria Knoth & Nielsen, Helena Skyt & Simonsen, Marianne, 2012. "Relative standards in ADHD diagnoses: The role of specialist behavior," Economics Letters, Elsevier, vol. 117(3), pages 663-665.
    Full references (including those not matched with items on IDEAS)

    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. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," IZA Discussion Papers 14020, Institute of Labor Economics (IZA).
    2. Nicodemo, Catia & Nicoletti, Cheti & Vidiella-Martin, Joaquim, 2024. "Starting School and ADHD: When Is It Time to Fly the Nest?," IZA Discussion Papers 17091, Institute of Labor Economics (IZA).
    3. Jill Furzer & Elizabeth Dhuey & Audrey Laporte, 2022. "ADHD misdiagnosis: Causes and mitigators," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 1926-1953, September.
    4. Bertoni, M.; & Marin-Lopez, B.A.; & Sanz-de-Galdeano, A.;, 2023. "Subjective Gender-Based Patterns in ADHD Diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 23/17, HEDG, c/o Department of Economics, University of York.
    5. Persson, Petra & Qiu, Xinyao & Rossin-Slater, Maya, 2021. "Family Spillover Effects of Marginal Diagnoses: The Case of ADHD," CEPR Discussion Papers 15660, C.E.P.R. Discussion Papers.
    6. Eugster, Beatrix & Balestra, Simone & Liebert, Helge, 2017. "The Effect of School Starting Age on Special Needs Incidence and Child Development into Adolescence," CEPR Discussion Papers 12515, C.E.P.R. Discussion Papers.
    7. Michael Bahrs & Mathias Schumann, 2020. "Unlucky to be young? The long-term effects of school starting age on smoking behavior and health," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(2), pages 555-600, April.
    8. Bahrs, Michael & Schumann, Mathias, 2016. "Unlucky to Be Young? The Long-Term Effects of School Starting Age on Smoking Behaviour and Health," hche Research Papers 13, University of Hamburg, Hamburg Center for Health Economics (hche).
    9. Dalsgaard, Søren & Nielsen, Helena Skyt & Simonsen, Marianne, 2014. "Consequences of ADHD medication use for children's outcomes," Journal of Health Economics, Elsevier, vol. 37(C), pages 137-151.
    10. Thomas S. Dee & Hans Henrik Sievertsen, 2018. "The gift of time? School starting age and mental health," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 781-802, May.
    11. Berniell, Inés & Estrada, Ricardo, 2020. "Poor little children: The socioeconomic gap in parental responses to school disadvantage," Labour Economics, Elsevier, vol. 66(C).
    12. Kelly Bedard & Allison Witman, 2020. "Family structure and the gender gap in ADHD," Review of Economics of the Household, Springer, vol. 18(4), pages 1101-1129, December.
    13. Seth Freedman & Kelli Marquardt & Dario Salcedo & Kosali Simon & Coady Wing, 2023. "Societal Disruptions and Child Mental Health: Evidence from ADHD Diagnosis During the Covid-19 Pandemic," Working Paper Series WP 2023-04, Federal Reserve Bank of Chicago.
    14. Kivinen, Aapo, 2018. "The Effect of Relative School Starting Age on Having an Individualized Curriculum in Finland," Working Papers 104, VATT Institute for Economic Research.
    15. Peña, Pablo A., 2020. "Relative age and investment in human capital," Economics of Education Review, Elsevier, vol. 78(C).
    16. Schwandt, Hannes & Wuppermann, Amelie, 2016. "The youngest get the pill: ADHD misdiagnosis in Germany, its regional correlates and international comparison," Labour Economics, Elsevier, vol. 43(C), pages 72-86.
    17. Lopez-Mayan, Cristina & Montresor, Giulia & Nicodemo, Catia, 2024. "School Entry Age Policy and Adolescent Risk–Taking," IZA Discussion Papers 17589, Institute of Labor Economics (IZA).
    18. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    19. Marie Connolly & Catherine Haeck, 2018. "Le lien entre la taille des classes et les compétences cognitives et non cognitives," CIRANO Project Reports 2018rp-18, CIRANO.
    20. Mari, Gabriele, 2023. "Less for more? Cuts to child benefits, family adjustments, and long-run child outcomes in larger families," SocArXiv e3n82, Center for Open Science.

    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:ecolet:v:244:y:2024:i:c:s0165176524004841. 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/ecolet .

    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.