Articlegreen2004

The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decisionmaking

Theodore W. Ruger · Pauline T. Kim · Andrew D. Martin · Kevin M. Quinn

201 citations0/0 files storedColumbia Law Review

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Judicial and Constitutional Studies Electoral Systems and Political Participation American Constitutional Law and Politics

Abstract

Theodore W. Ruger, Pauline T. Kim, Andrew D. Martin, Kevin M. Quinn, The Supreme Court Forecasting Project: Legal and Political Science Approaches to Predicting Supreme Court Decisionmaking, Columbia Law Review, Vol. 104, No. 4 (May, 2004), pp. 1150-1210

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 201 citations exist upstream.

Cited by

2005Spatial Models of Parliamentary Voting 2017A general approach for predicting the behavior of the Supreme Court of the United States 2022LexGLUE: A Benchmark Dataset for Legal Language Understanding in English 2012Improving Predictions using Ensemble Bayesian Model Averaging 2019Bias and Judging 2004Competing Approaches to Predicting Supreme Court Decision Making 2006Taking Law Seriously 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

Imported from OpenAlex (CC0) — nothing here is generated.