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Abstract
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.
The politics of budgetary failure: explaining U.S. congressional gridlock with textual double machine learning
27 April 2026, Version 1
Working Paper
Authors
This content is an early or alternative research output and has not been peer-reviewed at the time of posting.
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