Description
Social phenomena rarely occur in isolation, and civil wars are no exception. Given that past studies have viewed wars as one dimensional phenomena and studied the spillover of war across international boundaries only, this study is a first step towards building a conceptual framework to analyze violence upsurge in a more dynamic and disaggregated setting. Using data on the Maoist insurgency in Nepal, I propose a model to conceptualize violence as a spatial-temporal process and to estimate the parameters of interest via Maximum Likelihood technique.
The war disease: A spatial-temporal analysis
Social phenomena rarely occur in isolation, and civil wars are no exception. Given that past studies have viewed wars as one dimensional phenomena and studied the spillover of war across international boundaries only, this study is a first step towards building a conceptual framework to analyze violence upsurge in a more dynamic and disaggregated setting. Using data on the Maoist insurgency in Nepal, I propose a model to conceptualize violence as a spatial-temporal process and to estimate the parameters of interest via Maximum Likelihood technique.