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DC Field | Value | Language |
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dc.contributor.advisor | Felix, Mayara | - |
dc.contributor.author | Lonergan, Morgan | - |
dc.date.accessioned | 2023-07-14T18:15:31Z | - |
dc.date.available | 2023-07-14T18:15:31Z | - |
dc.date.created | 2023-04-13 | - |
dc.date.issued | 2023-07-14 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01d791sk45q | - |
dc.description.abstract | In response to the 2022 Russian full-scale invasion of Ukraine, the EU and other countries have imposed sanctions on a range of goods and services, as well as targeted sanctions against individuals and businesses. Scholars and policymakers have long debated the efficacy of sanctions as a security tool. However, past studies have largely involved long-term, cross-conflict comparisons. Using the VIINA and ACLED datasets of conflict incidents from the RussoUkrainian War, I construct a measure of daily conflict intensity in Ukraine. I then use a stacked event study of conflict intensity across multiple sanctions periods to estimate the short-term impact of sanctions announcements on the daily number of military operations initiated by Russian and aligned forces. I find no evidence of a statistically significant association between recent sanctions announcements and daily violence in the Russo-Ukrainian War. However, the methodological approach which I lay out has implications for research into other conflict sanctions and other questions regarding the political economy of conflict. | en_US |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | The Impact of 2022 EU and G7 Sanctions Announcements on Daily Conflict Intensity in the Russo-Ukrainian War | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2023 | en_US |
pu.department | Economics | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 920227389 | - |
pu.mudd.walkin | No | en_US |
Appears in Collections: | Economics, 1927-2023 |
Files in This Item:
File | Description | Size | Format | |
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LONERGAN-MORGAN-THESIS.pdf | 27.39 MB | Adobe PDF | Request a copy |
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