IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v47y2020i2p684-718..html

Russian food embargo and the lost trade
[Nonparametric counterfactual predictions in neoclassical models of international trade]

Author

Listed:
  • Angela Cheptea
  • Carl Gaigné

Abstract

We analyse the impact of the Russian food embargo on European and Russian trade patterns using a triple-difference estimation strategy. We quantify the embargo-induced loss in EU28 exports at €125 million per month. Only 45 per cent of the drop in EU exports of banned products to Russia was due to the ban. EU member states were unevenly affected by the ban. The estimated losses of welfare in Russia range from 0.2 to 0.6 per cent (In absolute terms, this represents €18 to €58 of the 2013 revenue of the average Russian consumer.).

Suggested Citation

  • Angela Cheptea & Carl Gaigné, 2020. "Russian food embargo and the lost trade [Nonparametric counterfactual predictions in neoclassical models of international trade]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(2), pages 684-718.
    • Handle: RePEc:oup:erevae:v:47:y:2020:i:2:p:684-718.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbz032
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation

    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:oup:erevae:v:47:y:2020:i:2:p:684-718.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.