IDEAS home Printed from https://ideas.repec.org/a/ucp/ecdecc/doi10.1086-695472.html
   My bibliography  Save this article

You’ll Be a Migrant, My Son: Accounting for Migrant Selection within the Household

Author

Listed:
  • Isabelle Chort
  • Jean-Noël Senne

Abstract

This paper presents a theoretical model to account for household-based migration decisions and derives its implications for migrant selection within the household. Unlike individual selection models, a household model allows us to account for the role played by future remittances, along with earnings differentials, in shaping intrahousehold selection patterns of migrants. We develop a structural estimation procedure based on an extension of the Roy-Dahl model and provide an empirical application using original matched data on Senegalese migrants in three host countries and their household of origin in Senegal. We exploit information on Koranic schooling and birth rank to predict migrants’ remittance potential. Our results show that, conditional on earnings, household members with the highest remittance potential have a higher propensity to be selected into migration, consistent with the predictions of our household model.

Suggested Citation

  • Isabelle Chort & Jean-Noël Senne, 2018. "You’ll Be a Migrant, My Son: Accounting for Migrant Selection within the Household," Economic Development and Cultural Change, University of Chicago Press, vol. 66(2), pages 217-263.
  • Handle: RePEc:ucp:ecdecc:doi:10.1086/695472
    DOI: 10.1086/695472
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/695472
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/695472
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/695472?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Beine, Michel & Bierlaire, Michel & Docquier, Frédéric, 2021. "New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration," IZA Discussion Papers 14090, Institute of Labor Economics (IZA).
    2. Bertoli, Simone & Murard, Elie, 2020. "Migration and co-residence choices: Evidence from Mexico," Journal of Development Economics, Elsevier, vol. 142(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:ecdecc:doi:10.1086/695472. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/EDCC .

    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.