IDEAS home Printed from https://ideas.repec.org/a/eee/deveco/v182y2026ics0304387826000805.html

Estimating how much children work: Questionnaires versus time use diaries

Author

Listed:
  • Lamote de Grignon Pérez, Juana
  • Wang, Wenbin
  • Kasyap, Tanay
  • Luo, Matthew Henglong
  • Tang, Jialu

Abstract

Current estimates of child labour often rely on questions such as, “How many hours did you work last week?” While biases in adult self-reports are well documented in high-income countries, there is limited evidence on the accuracy of children’s responses in low- and middle-income countries (LMICs). Using data from nine LMICs, including China and India, this paper shows that time diaries report considerably more work hours than standard questionnaires. The gap is particularly large among younger children, with ratios of diary to questionnaire estimates exceeding five at ages 5–11 and remaining above two even among adolescents aged 15–17. This suggests that current estimates may substantially understate child labour. Moreover, certain forms of work – such as collecting water or firewood – appear to contribute to these measurement gaps.

Suggested Citation

  • Lamote de Grignon Pérez, Juana & Wang, Wenbin & Kasyap, Tanay & Luo, Matthew Henglong & Tang, Jialu, 2026. "Estimating how much children work: Questionnaires versus time use diaries," Journal of Development Economics, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:deveco:v:182:y:2026:i:c:s0304387826000805
    DOI: 10.1016/j.jdeveco.2026.103797
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304387826000805
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jdeveco.2026.103797?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

    for a different version of it.

    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:eee:deveco:v:182:y:2026:i:c:s0304387826000805. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/devec .

    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.