Washington University Law CERL
  Center for Empirical Research in the Law
 


Martin-Quinn Scores
overview selected articles
Project Details
TECHNOLOGIES USED
R, C++, Scythe
METHODOLOGICAL APPROACH
  item response theory
  dynamic linear models
  Markov chain Monte Carlo
ONE ESTIMATION RUN
takes 3 weeks
VISIT SITE
Martin-Quinn Scores Project site
Selected Articles
Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999
Political Analysis. 10: 134-153.
by Andrew D. Martin and Kevin M. Quinn. 2002.
pdf

The Median Justice on the U.S. Supreme Court
North Carolina Law Review. 83: 1275-1321.
by Andrew D. Martin, Kevin M. Quinn, and Lee Epstein. 2005.
pdf

Ideological Drift Among Supreme Court Justices: Who, When, and How Important?
Northwestern University Law Review, forthcoming.
by Lee Epstein, Andrew D. Martin, Kevin M. Quinn, and Jeffrey A. Segal. 2007.
pdf

Articles that Reference the Martin-Quinn Scores
via google
http://scholar.google.com/scholar?hl=en&lr=&cites=16237519588100651163
  Washington University / School of Law / Campus Box 1120 / St. Louis MO 63130
cerl@law.wustl.edu