JSM 2005 Online Program

Abstract #303537

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	262
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Government Statistics
Abstract - #303537
Title:	Modeling and Quality of Masked Microdata
Author(s):	William Winkler*+
Companies:	U.S. Census Bureau
Address:	Statistical Research Division, Washington, DC, 20233, United States
Keywords:	Data Mining ; likelihood ; loglinear ; multivariate
Abstract:	Statistical organizations collect data via survey forms and other methods. The microdata are valuable for modeling and analysis. To produce a public-use file, the organizations mask the data in a manner that may prevent reidentification of data associated with individual entities. The public-use microdata may allow one or two sets of analyses that approximately reproduce analyses that could be performed on the original microdata. This paper describes a general method of creating models of data related to methods of creating appropriate aggregates of data needed for sufficient statistics in general classes of models (Lee and Moore 1998, DuMouchel et al. 2000, Owen 2003). If the aggregates can be approximately reproduced, then the masked microdata may allow one or more analyses that correspond to analyses on the original, non-public microdata. It will typically not yield data suitable for general analyses.

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