Inferring Office Outcomes in Coalition Bargains with Supervised Machine Learning

• In Event: Elections and legislatures

Brief Overview

Our paper develops a generalized supervised learning methodology for inferring office outcomes of coalition bargains from the media debate on ministerial candidates, which also informs on potential assignments of cabinet offices to distinct parties.

Author

• Julia Fleischer, University of Potsdam