2016
DOI: 10.1086/684679
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Does Immigration Induce Terrorism?

Abstract: There is a heated debate on whether immigration is associated with domestic and transnational terrorism. As of yet, however, we lacked rigorous evidence that could inform this debate. As a contribution to address this shortcoming, we report spatial-econometric analyses of migrant inflows and the number of terrorist attacks in 145 countries between 1970 and 2000. The results suggest that migrants stemming from terrorist-prone states moving to another country are indeed an important vehicle through which terrori… Show more

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Cited by 103 publications
(95 citation statements)
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References 76 publications
(129 reference statements)
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“…Existing research suggests that immigration itself is naturally negatively related to terrorism unless the migrants originate from a terror-prone nation or region. 46 Therefore, Canada's negative correlation between immigration and terrorism is exactly what one would expect if our hypothesis was correct given its relatively low levels of migrants from terror-prone nations.…”
Section: Analysis Of Resultsmentioning
confidence: 59%
“…Existing research suggests that immigration itself is naturally negatively related to terrorism unless the migrants originate from a terror-prone nation or region. 46 Therefore, Canada's negative correlation between immigration and terrorism is exactly what one would expect if our hypothesis was correct given its relatively low levels of migrants from terror-prone nations.…”
Section: Analysis Of Resultsmentioning
confidence: 59%
“…Finally, the literature on forcible migration typically looks at effects in the receiving country. Salehyan and Gleditsch () examines refugees as a vector of conflict diffusion in host states, while Bove () finds that migration from terror‐prone countries increases the likelihood of such attacks in the receiver . In short, migrants bring violence with them.…”
Section: Economic Migration and Political Violencementioning
confidence: 99%
“…To include fixed effects it is thus preferable to use a simple normal linear regression with the logged number of attacks, after adding 1 to the base, so that the log transformation helps to correct for the skewness and provides a more plausible functional form (see also Bove and Böhmelt 2016). Model 1 in Table 3 shows similar results for discrimination and inclusion, thus indicating that the previous findings are not simply explained by crosssectional variation, but also obtain when we focus exclusively on changes within countries.…”
Section: Empirical Analysismentioning
confidence: 99%