IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v182y2019i4p1561-1585.html
   My bibliography  Save this article

Practical causal analysis for the treatment timing effect on doubly censored duration: effect of fertility on work span

Author

Listed:
  • Nikolay Angelov
  • Per Johansson
  • Myoung‐jae Lee

Abstract

We present a practical causal framework to estimate the effects of a treatment and its timing on a doubly censored response. We then apply the methodology to find the effect of fertility on work duration where, not just fertility itself, but the timing of fertility should matter greatly. Since fertility and its decision of timing are chosen by the individual, it is likely to be endogenous. We use a populationwide data set over mothers with two children to address the endogeneity issue by using the first two children's same‐sex instrument in a ‘control function’ setting. We find that having a third child reduces the average labour market work duration, and that the magnitude of the effect increases monotonically with the waiting time between the second and third children. Moreover, the negative effect varies substantially over education and second‐birth age, being stronger for mothers with higher education and lower second‐birth age.

Suggested Citation

  • Nikolay Angelov & Per Johansson & Myoung‐jae Lee, 2019. "Practical causal analysis for the treatment timing effect on doubly censored duration: effect of fertility on work span," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1561-1585, October.
    • Handle: RePEc:bla:jorssa:v:182:y:2019:i:4:p:1561-1585
    DOI: 10.1111/rssa.12474
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rssa.12474
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rssa.12474?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. Myoung-Jae Lee & Hyae-Chong Shim & Sang Soo Park, 2023. "Regression Discontinuity with Integer Score and Non-Integer Cutoff," Korean Economic Review, Korean Economic Association, vol. 39, pages 73-101.
    2. Myoung‐jae Lee, 2021. "Instrument residual estimator for any response variable with endogenous binary treatment," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 612-635, July.

    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:bla:jorssa:v:182:y:2019:i:4:p:1561-1585. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.