Political Forecasting: accounting for dynamics and endogeneity

One these pages you can find out more about our political conflict and political forecasting work. We have included our papers, code and data on these pages. These pages also serve as the home for Brandt's R package, MSBVAR

Why is this site named Yule?

At right: density forecasts for Israeli-Palestinian conflict in Goldstein scaled values using Bayesian and non-Bayesian multiple time series models

Project principals

• Patrick T. Brandt,
  School of Economic, Political and Policy Sciences
  University of Texas, Dallas
• John R. Freeman,
  Department of Political Science
  University of Minnesota