Archive

Medicare negotiators need to have a deep understanding - both theoretical and empirical - of the learning processes involved in developing a drug to negotiate a price that is fair.

Using aggregate campaign finance data as well as a Transformer based text embedding model we can predict roll call votes for legislation in the US Congress with more than 90% accuracy.

In a society where asset ownership is incredibly unequal, social mobility become severely diminished

Covid and BLM protests were key to Biden’s victory

This paper analyzes the role of local spending, particularly on social welfare, and local inequality as factors in the Italian political crisis following the adoption in 2011 of more radical national austerity measures.

In this paper we analyze the Gilens dataset using the complementary tools of Random Forest classifiers (RFs), from Machine Learning.

The links between campaign contributions from the financial sector and switches to a pro-bank vote were direct and substantial