IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/5qdwy_v1.html
   My bibliography  Save this paper

Marriage Penalty: Unconditional Quantile Regression of Housework Participation in Japan

Author

Listed:
  • Kolpashnikova, Kamila

    (University of Oxford)

  • Kan, Man-Yee
  • Shirakawa, Kiyomi

Abstract

We analyze cross-sectional time-use diaries from the 2011 and 2016 Survey on Time Use and Leisure Activities (Shakai Seikatsu Kihon Chosa) to investigate the association between educational level and housework participation at different quantiles. Using the unconditional quantile regression method, we test whether education is associated with less time spent on housework as the previous research on highly educated people suggests. We find that this hypothesis stands only for non-married Japanese women. On the other hand, among married Japanese women, especially those without children in higher deciles of housework participation, are more likely to increase their participation in housework with the increase in their educational level. The results suggest that in Japan, the institute of marriage places higher expectations on women’s housework participation on married women with higher levels of education.

Suggested Citation

  • Kolpashnikova, Kamila & Kan, Man-Yee & Shirakawa, Kiyomi, 2019. "Marriage Penalty: Unconditional Quantile Regression of Housework Participation in Japan," OSF Preprints 5qdwy_v1, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:5qdwy_v1
    DOI: 10.31219/osf.io/5qdwy_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/5cf8ed1b3a4d9500188ab50f/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/5qdwy_v1?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
    ---><---

    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:osf:osfxxx:5qdwy_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.