The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
Activity Number:
|
338
|
Type:
|
Topic Contributed
|
Date/Time:
|
Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Survey Research Methods
|
Abstract - #302160 |
Title:
|
The Microdata Analysis System at the U.S. Census Bureau
|
Author(s):
|
Michael Freiman*+ and Michael Freiman and Laura Zayatz and Lisa Singh and Jiashen You and Michael DePersio
|
Companies:
|
U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau and University of California at Los Angeles and U.S. Census Bureau
|
Address:
|
4600 Silver Hill Road, Suitland, MD, ,
|
Keywords:
|
Data Confidentiality ;
Remote Access Servers ;
Universe Subsampling ;
Synthetic Data ;
Regression ;
Disclosure
|
Abstract:
|
The U.S. Census Bureau has the responsibility to release high quality data products while maintaining the confidentiality promised to all respondents under Title 13 of the U.S. Code. This paper describes a Microdata Analysis System (MAS) that is currently under development, which will allow users to receive certain statistical analyses of Census Bureau data-such as cross-tabulations, regressions (with diagnostic plots), histograms and scatterplots-without ever having access to the data themselves. Such analyses must satisfy several statistical confidentiality constraints; those that fail these constraints will not be output to the user. In addition, all analyses are performed after application of the Drop q Rule, a data subsampling routine, and regressions involving categorical predictors sometimes require modification. We describe the system's capabilities, as well as the confidentiality protections and the major types of attacks they prevent, then conclude with a description of other approaches to creating a system of this sort, and some directions for future research.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.