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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01tm70mx782
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dc.contributor.advisorWantchekon, Leonard-
dc.contributor.authorPuri, Sukrit-
dc.date.accessioned2017-07-18T15:18:34Z-
dc.date.available2017-07-18T15:18:34Z-
dc.date.created2017-04-12-
dc.date.issued2017-4-12-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01tm70mx782-
dc.description.abstractThough political theory may not have settled the debate on the ideal role of the state, there is consensus that, at least, the state ought to be a night watchman, protecting civilians from harm. But then what explains why states turn on their minimal promise, to violently repress their own citizens? Constructing a dataset that counts the number of episodes of state violence that occur in each sub-national administrative division, across 129 countries from 1989-2015, and using instrumental variable techniques from the Resource Curse literature, I find that positive shocks to mineral and fuel resource rents tend to increase the likelihood of government violence at a sub-national level. This paper further confirms the Resource Curse hypotheses that the relationship between economic shocks and state violence are more pronounced in resource-dependent countries, and countries with weak institutional strength. Finally, I use GIS mapping software to exploit sub-national variation in resource endowment, and find that the existence of non-lootable resources is not a sufficient and systematic predictor of sub-national violence, thus proposing a potential limit on the local validity of the Resource Curse scholarship.en_US
dc.language.isoen_USen_US
dc.titleA Method to the Madness: How Economic Shocks Influence State Violence Against Civiliansen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2017en_US
pu.departmentEconomicsen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960793600-
pu.contributor.advisorid210106788-
pu.certificateCenter for Statistics and Machine Learningen_US
Appears in Collections:Economics, 1927-2020

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