Langer Natural Courts Database from NSF Grant
Data format: These data are saved in STATA 9 format. Click
here to download the STATA file
Description of Variables: If you double
click on a variable in the Data Editor of STATA, you will find a description of
each variable along with coding rules. In
addition to state code, state name, and year, there is also a variable called naturalcourtname, which refers to the name of the chief
justice for each natural court. In
states where a chief justice leaves and another assumes office mid-year, both
names are on the court.
Sources for these data: All information
was collected by author and author’s graduate assistants and funded by the
National Science Foundation. There were
several sources for these data (e.g., State Web pages, State Constitutions,
Book of States, American Judicature Society, American Bench, Lexis-Nexis, State
Court Clerks
and Librarians). Every source was
cross-checked, which revealed some inconsistencies across sources. Whenever
such inconsistencies occurred, I contacted the State Court’s Clerk or Librarian
to resolve the inconsistency.
Proper Citation for these data:
The
Brace, Hall, Langer 2000 JOP provides the methodology for the estimation of individual
level ideology scores. However, the Langer NSF grant is the source of these
natural courts data, which provide individual and court level ideology scores,
as well as the revisions and updates.
Langer, Laura. National Science Foundation CAREER Grant, SES-0092187 “Multiple Actors
and Competing Risks: State Supreme Court Justices and the Policymaking (Unmaking)
Game of Judicial Review.”
Brace, Paul, Laura Langer, and Melinda Gann
Hall. 2000. “Measuring the Preferences of State Supreme
Court Judges.” Journal of Politics 62 (May): 387-413.