The politics of budgetary failure: explaining U.S. congressional gridlock with textual double machine learning

• In Event: Partisanship, Polarization, and Policy

Brief Overview

What drives budgetary legislative gridlock in the U.S. Congress? To extend the legacy, this research introduces a micro level approach to budgetary legislative gridlock by applying a text-as-data approach.

Author

• Kasey Huiyan Yin, University of Texas at Dallas