This section contains papers written by members of the Statistics of Income Division of IRS, and others, and presented at the 1999 Joint Statistical Meetings of the American Statistical Association.
The views expressed in these papers are those of the authors and are not necessarily the official positions of the Internal Revenue Service.
Citations are included in the papers. For more information about a paper, please send us an email message.
All papers are available as PDF files. A free Adobe Acrobat reader is available for download, if needed.
Customer Service Satisfaction Survey: Cognitive and Prototype Test
Kevin Cecco and Anthony J. Young; Statistics of Income, IRS. March 2000.
In an attempt to interact more efficiently with taxpayers, the Customer Service organization with the IRS has decided to automate the process of conducting telephone customer satisfaction surveys, replacing them with The Customer Service Satisfaction Survey (CSSS) application. This paper examines the methodology and results from testing and provides recommendations for implementation of the automated process.
Further Examination of the Distribution of Individual Income and Taxes Using a Consistent and Comprehensive Measure of Income
Tom Petska and Mike Strudler, Statistics of Income, IRS, and Ryan Petska, Florida State University. March 2000. (EXE File Includes PDF and XLS.)
This paper is the third in a series examining trends in the distribution of individual incomes and tax burdens based on a consistent and comprehensive measure of income derived from individual income tax returns.
Occupation and Industry Data from Tax Year 1993 Individual Tax Returns
Peter Sailer and Terry Nuriddin; Statistics of Income, IRS. April 2000. (EXE File Includes PDF and XLS.)
For Tax Year 1993, the Statistics of Income Division (SOI) created a more elaborate database of individual income tax data than ever before. This paper describes how the occupation and industry coding of this database was accomplished. It also includes comparisons of results to statistics on employment available from the Bureau of Labor Statistics.
On Computing Gaussian Curvature of Some Well Known Distributions
William W. S. Chen, Statistics of Income, IRS. March 2000.
The objective of this paper is to provide a deeper and broader understanding of the meaning of Gaussian curvature, using some more general alternative computational methods.
The Feasibility of State Corporation Data
Brian Francis; Statistics of Income, IRS. March 2000.
The Internal Revenue Service’s (IRS) Statistics of Income Division (SOI) has not produced State-level corporate financial statistics since 1962. The author speculates that if a strong relationship exists between gross receipts reported on tax returns and employment levels by State, then meaningful corporate statistics can be produced at the State level. This paper tests this theory by matching receipts and employment by State and industry and computing correlation coefficients.
Using a Sample of Federal Estate Tax Returns to Examine the Effects of Audit Revaluation on Pre-Audit Estimates
Martha Britton Eller and Barry W. Johnson; Statistics of Income, IRS. March 2000.
This paper discusses the sample design and development of final weights for the 1992 Estate Post-Audit Study. Estimates of audit changes in tax assessments and asset values are also presented.