2016
DOI: 10.1177/0738894216657047
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Refugees and rivals: The international dynamics of refugee flows

Abstract: Intra-state violence in Syria, Myanmar, Sudan and other locales has generated an unprecedented level of refugee movement. Although extant scholarship has examined the origins of refugee flows and their implications for political violence, our understanding of why countries receive refugees is less understood. Typically, most explanations focus on the host state’s ability to absorb the economic and security costs that refugees generate. We argue that transnational factors associated with rivalry and alliances, … Show more

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Cited by 25 publications
(22 citation statements)
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“…We also consider the relationship between the original (sending) state and host state. The protection of refugees from rival states may help host countries in their efforts to weaken their rivals and hence result in lower rates of repression (Moorthy & Brathwaite, 2016). Refugee population from rival state (share) is the size of the refugee population originating from a rival state as a percentage of the host country's population.…”
Section: Robustness Checksmentioning
confidence: 99%
“…We also consider the relationship between the original (sending) state and host state. The protection of refugees from rival states may help host countries in their efforts to weaken their rivals and hence result in lower rates of repression (Moorthy & Brathwaite, 2016). Refugee population from rival state (share) is the size of the refugee population originating from a rival state as a percentage of the host country's population.…”
Section: Robustness Checksmentioning
confidence: 99%
“…The most common way that quantitative refugee scholars have previously accounted for this is to use a zero-inflated negative binomial or a Heckman selection model (Moore andShellman 2006, 2007;Moorthy and Brathwaite 2016). These approaches account for the structural zeroes by identifying the conditions under which refugees may be generated, and then down-weighting observations in which a receiving state could not have conceivably accepted refugees from a given sending state.…”
Section: Methodsmentioning
confidence: 99%
“…We follow this approach and employ zero-inflated negative binomial models in our main analyses, since we have an overdispersed count dependent variable with structural zeroes in the dependent variable. 10 This approach requires that we accurately model which factors create refugee flows to account for the structural zeroes, and we draw on previous quantitative studies of refugee flows to determine these (Moore andShellman 2006, 2007;Moorthy and Brathwaite 2016;Salehyan 2008).…”
Section: Methodsmentioning
confidence: 99%
“…10 Finally, in Models 15 and 16, I control for whether the refugee-sending and receiving countries are rivals, as coded in the strategic rivalry dataset (Thompson & Dreyer, 2011). Scholarship contends that rivalry between states increases the size of refugee flows between these states (Moorthy & Brathwaite, 2016), as well as the risk of refugee militarization (Lebson, 2013;Muggah & Mogire, 2006;Stedman & Tanner, 2003), which might indirectly affect refugee-related conflict. However, the effect of kin refugees remains positive and significant.…”
Section: Sensitivity Analysismentioning
confidence: 99%