IDEAS home Printed from https://ideas.repec.org/p/ris/drxlwp/2024_005.html
   My bibliography  Save this paper

The European Single Market and Intra-EU Trade: An Assessment with Heterogeneity-Robust Difference-in-Differences Methods

Author

Listed:
  • Nagengast, Arne

    (Deutsche Bundesbank)

  • Rios-Avila, Fernando

    (Levy Economics Institute)

  • Yotov, Yoto

    (Drexel University)

Abstract

We use heterogeneity-robust difference-in-differences (DiD) methods to evaluate the impact of membership in the European Union (EU) Single Market on international trade. On the policy front, we provide evidence that: (i) On average, the EU has been very effective in promoting trade among its member states; (ii) The trade effects of the EU have been long-lasting, but heterogeneous across EU cohorts; and (iii) While the EU has benefited both `old' and `new' members, the increase in the exports from the `old' members to the `new' joiners has been disproportionately larger. From a methods and practical perspective, the contribution of this paper is to introduce a new, fast, and flexible estimation command that combines leading estimation techniques from the gravity literature with recent methods from the heterogeneity-robust DiD literature.

Suggested Citation

  • Nagengast, Arne & Rios-Avila, Fernando & Yotov, Yoto, 2024. "The European Single Market and Intra-EU Trade: An Assessment with Heterogeneity-Robust Difference-in-Differences Methods," School of Economics Working Paper Series 2024-5, LeBow College of Business, Drexel University, revised 06 May 2024.
  • Handle: RePEc:ris:drxlwp:2024_005
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1Yp0dQbJSbuAef8y0csirgRhIr4i35TSf/view?usp=sharing
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    EU membership; Staggered Difference-in-Differences; Gravity Model; Estimation Command;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F10 - International Economics - - Trade - - - General
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

    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:ris:drxlwp:2024_005. 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: Richard C. Barnett (email available below). General contact details of provider: https://edirc.repec.org/data/cbdreus.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.