IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v31y2024i9p819-823.html
   My bibliography  Save this article

Will you marry my degree? An exploratory quantile regression with many covariates

Author

Listed:
  • George Myron Agiomirgianakis
  • Konstantinos Gkillas
  • Anastasia Pseiridis
  • Nicholas Tsounis

Abstract

Which and how many covariates are relevant to educational hypergamy in the matching market? We address these questions using a Lasso quantile regression framework applied on a unique survey containing information with respect to education or other characteristics associated with economic well-being. Our findings provide evidence for the end of hypergamy as we show that females tend to reduce the educational gap in their preferences for selecting a partner.

Suggested Citation

  • George Myron Agiomirgianakis & Konstantinos Gkillas & Anastasia Pseiridis & Nicholas Tsounis, 2024. "Will you marry my degree? An exploratory quantile regression with many covariates," Applied Economics Letters, Taylor & Francis Journals, vol. 31(9), pages 819-823, May.
    • Handle: RePEc:taf:apeclt:v:31:y:2024:i:9:p:819-823
    DOI: 10.1080/13504851.2022.2152417
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2022.2152417
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2022.2152417?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.

    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:taf:apeclt:v:31:y:2024:i:9:p:819-823. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.