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ID077774
Title ProperPredicting risk factors associated with forced Migration
Other Title Informationan early warning model of haitian flight
LanguageENG
AuthorShellman, Stephen M ;  Stewart, Brandon M
Publication2007.
Summary / Abstract (Note)This study predicts forced migration events by predicting the civil violence, poor economic conditions, and foreign interventions known to cause individuals to flee their homes in search of refuge. If we can predict forced migration, policy-makers can better plan for humanitarian crises. While the study is limited to predicting Haitian flight to the United States, its strength is its ability to predict weekly flows as opposed to annual flows, providing a greater level of predictive detail than its 'country-year' counterparts. We focus on Haiti given that it exhibits most, if not all, of the independent variables included in theories and models of forced migration. Within our temporal domain (1994-2004), Haiti experienced economic instability, low-intensity civil conflict, state repression, rebel dissent, and foreign intervention and influence. Given the model's performance, the study calls for the collection of disaggregated data in additional countries to provide more precise and useful early-warning models of forced migrant events
`In' analytical NoteCivil Wars Vol. 9, No.2; Jun 2007: p174-199
Journal SourceCivil Wars Vol. 9, No.2; Jun 2007: p174-199
Key WordsMigration ;  Humanitarian Crisis ;  Refugees ;  Violence