IDEAS home Printed from https://ideas.repec.org/p/ags/cudaeb/312520.html
   My bibliography  Save this paper

On the Triggers of Hazardous Border Crossings: Evidence from the US-Mexican Border

Author

Listed:
  • Chau, Nancy H.
  • Garip, Filiz
  • Oritz-Bobea, Ariel

Abstract

We study the self-selection of migrants at crossing locations along the Mexican-U.S. border distinguished by stark differences in physiography and border enforcement intensities. We model the triggers of hazardous crossings, and reveal self-selection patters that are alternative-specific: individuals with low economic prospects at origin communities are favorably selected at high-risk, high-reward crossing locations. Using comprehensive migrant journey level trajectories from the Mexican Migration Project (1980-2005), and identification based on enforcement reforms, community-level trade and weather shocks, as well as migrant-specificc characteristics, we estimate a McFadden choice model of border crossing. Results confirm the negative-selection of migrants in high-risk, high-likelihood of success border crossing locations, in addition to nuanced variations when economic shocks are idiosyncratic rather than permanent. The implications of these observations on the effectiveness of border walls and trade walls in mediating cross-border migration flows are also discussed.

Suggested Citation

  • Chau, Nancy H. & Garip, Filiz & Oritz-Bobea, Ariel, 2021. "On the Triggers of Hazardous Border Crossings: Evidence from the US-Mexican Border," EB Series 312520, Cornell University, Department of Applied Economics and Management.
  • Handle: RePEc:ags:cudaeb:312520
    DOI: 10.22004/ag.econ.312520
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/312520/files/WP%202021-09%20On%20the%20Triggers%20of%20Hazardous%20Border%20Crossings.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.312520?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. Basu, Arnab K. & Chau, Nancy H. & Park, Brian, 2022. "Rethinking border enforcement, permanent and circular migration," Economic Modelling, Elsevier, vol. 108(C).

    More about this item

    Keywords

    Environmental Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:cudaeb:312520. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dacorus.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.