IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2025-233.html
   My bibliography  Save this paper

Agricultural Distortions and International Migration

Author

Listed:
  • Braulio Britos
  • Manuel A. Hernandez
  • Danilo Trupkin

Abstract

International migration is a recurrent phenomenon that has grown rapidly over the past two decades. This paper examines the role of agricultural distortions in shaping emigration patterns and influencing productivity and welfare in developing countries, using Guatemala as a case study. We develop a theoretical framework where household members can work in agriculture, non-agriculture, or emigrate, and calibrate the model combining detailed micro and aggregate data. Our model identifies two key channels through which agricultural distortions affect migration and productivity: a first channel where distortions increase emigration among more productive agents, reducing aggregate productivity, and a second channel where distortions drive factor misallocation, lowering incomes and increasing overall emigration. Simulations suggest that, reducing distortions in the agricultural sector to the most efficient department in each region would lower the emigrant share by 2.3 percentage points, primarily among more productive workers. Lower distortions would similarly boost aggregate agricultural productivity by 30.1% and raise welfare by 3.4%. An analysis at the sub-national level reveals that high-distortion areas are more isolated and exhibit less financial penetration and government presence.

Suggested Citation

  • Braulio Britos & Manuel A. Hernandez & Danilo Trupkin, 2025. "Agricultural Distortions and International Migration," IMF Working Papers 2025/233, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2025/233
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=571682
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:imf:imfwpa:2025/233. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.