IDEAS home Printed from https://ideas.repec.org/a/ucp/jhucap/doi10.1086-705609.html
   My bibliography  Save this article

Maternal Work Hours and Childhood Obesity: Evidence Using Instrumental Variables Related to Sibling School Eligibility

Author

Listed:
  • Charles Courtemanche
  • Rusty Tchernis
  • Xilin Zhou

Abstract

This study exploits plausibly exogenous variation derived from the youngest sibling’s school eligibility to estimate the effects of maternal work on the weight outcomes of older children. We first show that mothers’ work hours increase gradually along both the extensive and intensive margins as the age of the youngest child rises, whereas mothers’ spouses’ work hours do not appear to be responsive. We develop an instrumental-variables model that shows that mothers’ work hours lead to larger increases in children’s body mass index z-scores and probabilities of being overweight/obese than those identified in previous studies. Subsample analyses find that the effects are concentrated among advantaged households.

Suggested Citation

  • Charles Courtemanche & Rusty Tchernis & Xilin Zhou, 2019. "Maternal Work Hours and Childhood Obesity: Evidence Using Instrumental Variables Related to Sibling School Eligibility," Journal of Human Capital, University of Chicago Press, vol. 13(4), pages 553-584.
  • Handle: RePEc:ucp:jhucap:doi:10.1086/705609
    DOI: 10.1086/705609
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/705609
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/705609
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/705609?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.

    Citations

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


    Cited by:

    1. Kajal Lahiri & Liu Yang, 0. "Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 0, pages 1-37.
    2. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2021. "Time spent exercising and obesity: An application of Lewbel’s instrumental variables method," Economics & Human Biology, Elsevier, vol. 41(C).

    More about this item

    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:ucp:jhucap:doi:10.1086/705609. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://www.journals.uchicago.edu/JHC .

    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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JHC .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.