The global sanctions data base

Gabriel Felbermayr, Aleksandra Kirilakha, Constantinos Syropoulos (), Erdal Yalcin and Yoto Yotov

European Economic Review, 2020, vol. 129, issue C

Abstract: This article introduces the Global Sanctions Data Base (GSDB), a new dataset of economic sanctions that covers all bilateral, multilateral, and plurilateral sanctions in the world during the 1950–2016 period across three dimensions: type, political objective, and extent of success. The GSDB features by far the most cases amongst data bases that focus on effective sanctions (i.e., excluding threats) and is particularly useful for analysis of bilateral international transactional data (such as trade flows). We highlight five important stylized facts: (i) sanctions are increasingly used over time; (ii) European countries are the most frequent users and African countries the most frequent targets; (iii) sanctions are becoming more diverse, with the share of trade sanctions falling and that of financial or travel sanctions rising; (iv) the main objectives of sanctions are increasingly related to democracy or human rights; (v) the success rate of sanctions has gone up until 1995 and fallen since then. Using state-of-the-art gravity modeling, we highlight the usefulness of the GSDB in the realm of international trade. Trade sanctions have a negative but heterogeneous effect on trade, which is most pronounced for complete bilateral sanctions, followed by complete export sanctions.

Keywords: Sanctions; Sanction databases; Effects of sanctions on trade (search for similar items in EconPapers)
JEL-codes: F1 F13 F14 F5 F51 H5 N4 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (59)

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Working Paper: The Global Sanctions Data Base (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eecrev:v:129:y:2020:i:c:s0014292120301914

DOI: 10.1016/j.euroecorev.2020.103561

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