Catalog of Holdings

Study Report

Study Number: GA-029-001-1-1-United States-ICPSR-1801

Subject Area: Legal Systems

Bibliographic Citation: Multi-user database on the attributes of United States appeals courts judges, 1801-1994.  [machine-readable data file] / Zuk, Gary  [principal investigator(s)] / Ann Arbor, MI: Inter-university Consortium for Political and Social Research  [distributor].

Originating Archive Number: 6796

Date Accessioned: 7/10/1997

Number of Files Received: 1

Comments: This study is received on ICPSR periodic release CD-ROM, PCD97001. All its files are stored under subdirectory, S6796. The data file, the codebook file, the SAS statements file and the SPSS statements file are stored in self-extracting compressed format.

Access Status: Restricted to UW-Madison campus

Date Ordered: 6/1/1997

Documentation: Machine-readable codebook file, SAS statements file and SPSS statements file.

Abstract: This project was undertaken to compile a definitive database on the personal, social, economic, career, and political attributes of judges who served on the United States Courts of Appeals from 1801 to 1994. The database includes conventional social background variables such as appointing president, religion, political party affiliation, education, and prior experience. In addition, unique items are provided: the temporal sequence of prior career experiences, the timing of and reason for leaving the bench, gender, race and ethnicity, position numbering analogous to the scheme used for the Supreme Court, American Bar Association rating, and net worth (for judges who began service on the bench after 1978). The second objective of this project was to merge these data with a multi-user database on U.S. Courts of Appeals decisions that is headed by Donald Songer and funded by the National Science Foundation. That database includes a unique identification number for each judge participating in a particular decision. The combined databases should enable scholars to explore: (1) intra- and inter-circuit fluctuation in the distribution of social background characteristics, (2) generational and presidential cohort variation in these attributes, and (3) state and partisan control of seats. The collection also facilitates the construction of models that examine the effects of personal attributes on decision-making, while controlling for the conditions above.

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