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The Global Sanctions Data Base

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

No 2020-2, School of Economics Working Paper Series from LeBow College of Business, Drexel University

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 from 1950 to 2015 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 declining and that of financial or travel sanctions increasing; (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 exemplify the usefulness of the GDSB 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 sanction

Keywords: Sanctions; Sanction Databases; Effects of Sanctions on Trade (search for similar items in EconPapers)
JEL-codes: F10 F13 F14 F50 F51 H50 N40 (search for similar items in EconPapers)
Pages: 65 pages
Date: 2020-04-22, Revised 2020-05-30
New Economics Papers: this item is included in nep-int
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Citations: View citations in EconPapers (79)

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