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The Global Sanctions Data Base - Release 3: COVID-19, Russia, and Multilateral Sanctions

Author

Listed:
  • Syropoulos, Constantinos

    (Drexel University)

  • Felbermayr, Gabriel

    (WIFO & Vienna University)

  • Kirilakha, Aleksandra

    (Drexel University)

  • Yalcin, Erdal

    (Konstanz University)

  • Yotov, Yoto

    (Drexel University)

Abstract

This paper introduces the third update/release of the Global Sanctions Data Base (GSDB-R3). The GSDB-R3 extends the period of coverage from 1950-2019 to 1950-2022, which includes two special periods – COVID-19 and the war between Russia and Ukraine. The new update of the GSDB contains a total of 1,325 cases. In response to multiple inquiries and requests, the GSDB-R3 has been amended with a new variable that distinguishes between unilateral and multilateral sanctions. As before, the GSDB comes in two versions, case-specific and dyadic, which are freely available upon request at GSDB@drexel.edu. To highlight one of the new features of the GSDB, we estimate the heterogeneous effects of unilateral and multilateral sanctions on trade. We also obtain estimates of the effects on trade of the 2014 sanctions on Russia.

Suggested Citation

  • Syropoulos, Constantinos & Felbermayr, Gabriel & Kirilakha, Aleksandra & Yalcin, Erdal & Yotov, Yoto, 2022. "The Global Sanctions Data Base - Release 3: COVID-19, Russia, and Multilateral Sanctions," School of Economics Working Paper Series 2022-11, LeBow College of Business, Drexel University.
    • Handle: RePEc:ris:drxlwp:2022_011
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    References listed on IDEAS

    as
    1. Baier, Scott L. & Yotov, Yoto V. & Zylkin, Thomas, 2019. "On the widely differing effects of free trade agreements: Lessons from twenty years of trade integration," Journal of International Economics, Elsevier, vol. 116(C), pages 206-226.
    2. Yoto V. Yotov, 2022. "On the role of domestic trade flows for estimating the gravity model of trade," Contemporary Economic Policy, Western Economic Association International, vol. 40(3), pages 526-540, July.
    3. Egger, Peter & Larch, Mario, 2008. "Interdependent preferential trade agreement memberships: An empirical analysis," Journal of International Economics, Elsevier, vol. 76(2), pages 384-399, December.
    4. Peter H. Egger & Mario Larch & Yoto V. Yotov, 2022. "Gravity Estimations with Interval Data: Revisiting the Impact of Free Trade Agreements," Economica, London School of Economics and Political Science, vol. 89(353), pages 44-61, January.
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    More about this item

    Keywords

    Sanctions; COVID; Russia; Multilateral Sanctions; Unilateral Sanctions;
    All these keywords.

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions

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