Previous quantitative research on ethnic civil war relies on macro-level proxies in an attempt to specify the conditions under which ethnic minorities rebel. Going beyond an exclusive focus on minorities, the present study employs Geographic Information Systems (GIS) as a way to model ethnic...

Computational modeling is used to improve our understanding of how the democratic peace unfolds as a historical process in time and space. Whereas most of the conventional literature interprets the phenomenon as a constant and universal law operating at the state level, the author follows...

In quantitative models of international conflict, the variables' causal effects are generally assumed to be constant over historical time. Yet, qualitative liberal theorizing, especially that of Immanuel Kant, has tended to emphasize a dynamic perspective based on the theme of progress. To...

Why do some armed civil conflicts last longer than others? Drawing on a contest success function model, we show that geographic factors (such as location, terrain, and natural resources) interact with rebel fighting capacity and together play a crucial role in determining the duration of...

Income varies considerably within countries and the locations where conflicts emerge are rarely typical or representative for states at large. Yet, most research on conflict has only examined national income averages and neglected spatial variation. The authors argue that civil conflicts are...