Abstract

http://ssrn.com/abstract=320887
 
 

Citations (3)



 
 

Footnotes (189)



 


 



Assessing and Predicting Who Wins Federal Tax Trial Decisions


Daniel M. Schneider


Northern Illinois University - College of Law


Wake Forest Law Review, Vol. 37, P. 473, Summer 2002

Abstract:     
In "Assessing and Predicting Who Wins Federal Tax Trial Decisions," Professor Daniel Schneider uses empirical research to examine the interplay between who wins in federal tax decisions and the social backgrounds of the judges who decided the cases. While tax scholarship engages in traditional legal reasoning about tax cases, it has not empirically analyzed who wins. This article uses statistics, especially logistic regressions, to engage in such an analysis, taking judges' backgrounds into account.

Professor Schneider's database consists of decisions from both the Tax Court and the district courts sitting in the Southern District of New York, the Northern District of Illinois, and the Central District of California that were rendered between 1979 and 1998. He has assembled data about both the decisions - the court where the decision was made, the year of the decision, the primary Code section at issue, and who won the case - and the social backgrounds of the judges who rendered the decisions - each judge's gender, race (for the district court judges) educational background, political affiliation, prior professional experience, and length of the judge's tenure when he rendered the decision.

Some of Professor Schneider's descriptive statistics include his observations that the taxpayer won more in the Tax Court than in the district courts, before judges who had gone to more elite colleges, before judges who had sat on the bench less time when rendering the decision, and before judges who had come from a prior professional experience primarily in private practice.

All of the tested variables in judges' social backgrounds were correlated with who won, with strong associations between background and the taxpayer winning occurring when a judge was a woman, had a more elite education, had a prior primary work experience in private practice, or was appointed by a Democratic president.

Number of Pages in PDF File: 39

Keywords: federal taxation, who won, statistics, empirical research, logistic regression

JEL Classification: H29, K19, K41

Accepted Paper Series


Download This Paper

Date posted: September 27, 2002  

Suggested Citation

Schneider, Daniel M., Assessing and Predicting Who Wins Federal Tax Trial Decisions. Wake Forest Law Review, Vol. 37, P. 473, Summer 2002. Available at SSRN: http://ssrn.com/abstract=320887 or http://dx.doi.org/10.2139/ssrn.320887

Contact Information

Daniel M. Schneider (Contact Author)
Northern Illinois University - College of Law ( email )
Swen Parson Hall
DeKalb, IL 60115
United States
815-753-1560 (Phone)
815-753-9301 (Fax)
Feedback to SSRN


Paper statistics
Abstract Views: 1,559
Downloads: 124
Download Rank: 134,687
Citations:  3
Footnotes:  189

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo5 in 0.281 seconds