Data Sets Available

Neal Tate's Research and Teaching Data Sets

Philippine Supreme Court SCRA Database, 1961-1987

Principal Investigator:  C. Neal Tate, Vanderbilt University

This database contains a record for each of the more than 15,000 decision handed down by the Supreme Court of the Philippines and reported in the Philippines' reporter of record, the Supreme Court Reports Annotated (Manila: Central Lawbook Publishing Company - Available in the United States from Oceana Publications, Dobbs Ferry, New York) from 1961-1987. 

The SPSS version of the dataset is fully documented:  users can produce a usable codebook WITH the SPSS DISPLAY DICTIONARY command.  The SPSS data set can be secured following the instructions given below.  However, users may be interested in having a copy of the original codebook that guided the coding of the data.   This document explains coding procedures in detail,  It is available (below) for downloading as an Adobe Acrobat .pdf file.  (You will need to obtain a copy of the free Acrobat Reader program to read the codebook, if you do not already have one.)

The Philippine Supreme Court SCRA Database was created with the support of  a grant from the Law and Social Science Program of the National Science Foundation.  It is a public access database, freely available for use by any interested person.  The principal investigator requests that those using these data fully and properly acknowledge their source.  The following would be an appropriate form for such an acknowledgement:

C. Neal Tate.  2007.  Philippine Supreme Court SCRA Database, 1961-1987.  Version 1.1.  Accessed at http://sitemason.vanderbilt.edu/site/d5YnT2/data_sets on [date].

Right click on the following and choose "Save Link Target as . . .  (Netscape) or "save Target As . . ." (Explorer)  to download the SPSS data set to your computer.

Philippine Supreme Court SCRA Dataset, 1961-1987, SPSS Save File Version

Click on the following link to download the  Acrobat .pdf version of the original codebook to your computer.

Philippine Supreme Court SCRA Database Original Codebook, .pdf Version 1-2


High Courts Judicial Database


Principal Investigators:
Stacia L. Haynie, Louisiana State University
Reginald S. Sheehan, Michigan State University
Donald R. Songer, University of South Carolina
C. Neal Tate, Vanderbilt University

The High Courts Judicial Database was created with the support of grants from the Law and Social Science Program of the National Science Foundation.  It is a public access database, freely available for use by any interested person.  The principal investigators note that all decisions regarding the structure and interpretation of the data used to create the HCJD are their own, and do not reflect the views or positions of the National Science Foundation

The High Courts Judicial Database (HCJD) provides coded information on the content of universes or random samples of the decisions produced by eleven of the top ("High" or "Supreme") courts of the world's judicial systems for extended periods of time.  The decisions included in the database are those formally reported in the reporters of record in each country. 

The High Courts Judicial Database consists of (1) a single All Nations Master File that includes all variables coded in common for all nations and (2) eleven individual country master files that include the common variables as well as variables that are specific to individual countries.  Most of the country specific variables record aspects of the voting and opinion behaviors of the individual justices who served on the country’s top court during the period covered, but individual country master files sometimes contain additional variables recording country specific information. 

The countries, courts, and actual  years currently covered are:

 Australia – High Court 1969-2003;
Canada – Supreme Court 1969-2003; 
India -- Supreme Court 1970-2000;
Namibia -- Supreme Court 1990-1998 (N = only 17);
Philippines -- Supreme Court 1970-2003;
South Africa – Supreme Court of Appeal 1970-2000 and Constitutional Court 1995-2000;
Tanzania – Court of Appeal 1983-1998;
United Kingdom – Judicial Committee of the House of Lords (Law Lords) 1970-2002;
United States -- Supreme Court 1953-2005;
Zambia – Supreme Court 1973-1997;
Zimbabwe -- Supreme Court 1989-2000. 

The principal investigators request that those using these data fully and properly acknowledge their source.  The following would be an appropriate form for such an acknowledgement:

Stacia L. Haynie, Reginald S. Sheehan, Donald R. Songer, and C. Neal Tate.  2007.  High Courts Judicial Database.  Version [number].  Accessed at http://sitemason.vanderbilt.edu/site/d5YnT2/data_sets on [date].

Finally, we note that the HCJD remains a work in progress.  We expect the datasets to be revised and reissued relatively regularly as we discover errors in the data or reconsider coding or data representation decisions that we have made.  Consequently, we caution users that the HCJD datasets are provided on an "as is" basis and we urge users to notify us of errors they discover and to contact us with their questions and suggestions for improvement.

THE DATA SETS

Each HCJD dataset has been stored in an SPSS save file that is fully-documented, that is, a file that includes full variable labels  and (where appropriate) value labels for each variable.  The SPSS save file is the authoritative version of each dataset.  Because these datasets are fully documented, there is in general no need for a separate codebook as a guide to the meanings of their data codes. 

(There is one exception to the previous sentence that occurs in the All Nations Master file.  That file includes geographic codes for the regions/states/provinces that are the "origin" and "source" of each decision.  These geographic codes have no meaning outside the context of the individual countries in which the decisions were made and hence cannot be assigned meaningful value labels.  We retain the origin and source variables in the master file because they also indicate non-regional origins and sources that can be compared across nations and (and can be assigned meaningful value labels) and because we think some imaginative users of the All Nations Master File may wish to test geography based hypotheses that use the state/province/region identification codes as data to be manipulated.  Full value labels for the state/province/region codes are given in the individual country files.)
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Right click on the following and choose "Save Link " or "Save Target As . . ."  to download the desired data sets to your computer.


STUDY DESCRIPTION AND CODEBOOK USED BY CODERS

Acrobat (.pdf) Version:

HCJD Codebook


Word Version:

HCJD Codebook


ALL NATIONS MASTER FILE

All Nations Master File