IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Semi-parametric estimation of the effect of health on labour force participation of married women

  • Weiren Wang
Registered author(s):

    This paper uses the semi-parametric method for binary choice models developed by Wang and Zhou (1995) to estimate the effect of health on the labour force participation of married women using data from the Panel Study of Income Dynamics (1989 interviewing year). The semi-parametric method is particularly useful if empirical studies involve many explanatory variables and large sample sizes. The estimation results show that the health condition is a good predictor of participation. The results also demonstrate that the easy-to-compute semi-parametric method is practical for empirical studies. Furthermore, the empirical results suggest that both logit and probit estimators may underestimate the effect of wives' health conditions on their labour force participation.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368497327092
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 29 (1997)
    Issue (Month): 3 ()
    Pages: 325-329

    as
    in new window

    Handle: RePEc:taf:applec:v:29:y:1997:i:3:p:325-329
    Contact details of provider: Web page: http://www.tandfonline.com/RAEC20

    Order Information: Web: http://www.tandfonline.com/pricing/journal/RAEC20

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:29:y:1997:i:3:p:325-329. 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: (Michael McNulty)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.