The Supreme Court of the United States, 1970-1971

The Median Justice on the United States Supreme Court

Peer Effects on the United States Supreme Court

Using data on essentially every US Supreme Court decision since 1946, we estimate a model of peer effects on the Court. We consider both the impact of justice ideology and justice votes on the votes of their peers. To identify these peer effects we use two instruments. The first is based on the composition of the Court, determined by which justices sit on which cases due to recusals or health r...

Confirmation Bias in the United States Supreme Court Judicial Database

We ask whether the widely used direction of decision and direction of vote variables in the United States Supreme Court Judicial Database (USSCJD) are contaminated by confirmation bias, or have been affected by expectations about the likely effects of judicial preferences on case outcomes. Using a sample of generally comparable cases, we find evidence that the assignment of issue codes to these...

A general approach for predicting the behavior of the Supreme Court of the United States

Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of the Supreme Court of the United States in a generalized, out-of-sample context. To do so, we develop a time-evolving random forest classifier that leverages unique feature engineering to predict more than 240,000 justice votes and 28,000 cas...

Predicting the Behavior of the Supreme Court of the United States: A General Approach

Building upon developments in theoretical and applied machine learning, as well as the efforts of various scholars including Guimerà and Sales-Pardo (2011), Ruger et al. (2004), and Martin et al. (2004), we construct a model designed to predict the voting behavior of the Supreme Court of the United States. Using the extremely randomized tree method first proposed in Geurts et al. (2006), a meth...