JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 288
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #311542
Title: Releasing Synthetic Microdata for Magnitude Tabular Data
Author(s): Lan Wei*+ and Jerome P. Reiter
Companies: Duke University and Duke University
Keywords: Data Confidentiality ; Mixture Model ; Nonparametric Bayesian

Establishment microdata is subjected to strict confidential protection. Releasing it while providing meaningful statistical inference is a challenge. This is especially true for micro discrete/count data with fixed marginal totals. We develop a new statistical disclosure limitation (SDL) technique based on data synthesis. We propose a mixture of Poisson distributions for multivariate count data and a synthesis method subject to fixed marginal totals. We apply the procedure to a data from the Colombian Annual Manufacturing Survey. The results show that the synthetic data can provide high utility. We also present a method for disclosure risk assessment.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program

2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.