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We propose a framework for forecasting and analyzing regional and international conflicts. It generates forecasts that (1) are accurate but account for uncertainty, (2) are produced in (near) real time, (3) capture actors’ simultaneous behaviors, (4) incorporate prior beliefs, and (5) generate...
A new forecasting model, solved for Bayesian Perfect Equilibria, is introduced. It, along with several alternative models, is tested on data from the European Union. The new model, which allows for contingent forecasts and for generating confidence intervals around predictions, outperforms...
Most quantitative assessments of civil conflict draw on annual country-level data to determine a baseline hazard of conflict onset. The first problem with such analyses is that they ignore factors associated with the precipitation of violence, such as elections and natural disasters and other...
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