This Thesis aims at contributing towards the identification of the most robust economic, political and social indicators that favour the onset of Civil Wars. In order to to so I split my research into an explanatory part as well as a prediction part. To some extend the former consits of a replication of previously conducted research by Fearon and Laitin (2003), Collier and Hoeffler (2004a) and Hegre and Sambanis (2006) in order to explain certain indicators that have already been investigated and claimed to affect the onset of Civil Wars. Moreover, I suggest the application of two variable identification techniques to explore the influence of certain additional independent variables. The subsequent chapter of the Thesis tries to predict the onset of Civil Wars based on those variables identi- fied in the explanatory chapter.

This Thesis aims at contributing towards the identification of the most robust economic, political and social indicators that favour the onset of Civil Wars. In order to to so I split my research into an explanatory part as well as a prediction part. To some extend the former consits of a replication of previously conducted research by Fearon and Laitin (2003), Collier and Hoeffler (2004a) and Hegre and Sambanis (2006) in order to explain certain indicators that have already been investigated and claimed to affect the onset of Civil Wars. Moreover, I suggest the application of two variable identification techniques to explore the influence of certain additional independent variables. The subsequent chapter of the Thesis tries to predict the onset of Civil Wars based on those variables identi- fied in the explanatory chapter.

Investigating the Root Causes of Civil War - A Data Science Approach

WESSELER, NICOLAS SIMON
2017/2018

Abstract

This Thesis aims at contributing towards the identification of the most robust economic, political and social indicators that favour the onset of Civil Wars. In order to to so I split my research into an explanatory part as well as a prediction part. To some extend the former consits of a replication of previously conducted research by Fearon and Laitin (2003), Collier and Hoeffler (2004a) and Hegre and Sambanis (2006) in order to explain certain indicators that have already been investigated and claimed to affect the onset of Civil Wars. Moreover, I suggest the application of two variable identification techniques to explore the influence of certain additional independent variables. The subsequent chapter of the Thesis tries to predict the onset of Civil Wars based on those variables identi- fied in the explanatory chapter.
2017
Investigating the Root Causes of Civil War - A Data Science Approach
This Thesis aims at contributing towards the identification of the most robust economic, political and social indicators that favour the onset of Civil Wars. In order to to so I split my research into an explanatory part as well as a prediction part. To some extend the former consits of a replication of previously conducted research by Fearon and Laitin (2003), Collier and Hoeffler (2004a) and Hegre and Sambanis (2006) in order to explain certain indicators that have already been investigated and claimed to affect the onset of Civil Wars. Moreover, I suggest the application of two variable identification techniques to explore the influence of certain additional independent variables. The subsequent chapter of the Thesis tries to predict the onset of Civil Wars based on those variables identi- fied in the explanatory chapter.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14239/4417