JSM 2011 Online Program

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Abstract Details

Activity Number: 625
Type: Contributed
Date/Time: Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #302453
Title: An Evaluation Of Bls Noise Research For The Quarterly Census Of Employment And Wages
Author(s): Michael Yang*+ and Ali Mushtaq and Santanu Pramanik and Fritz Scheuren and Michael Buso and David Hiles
Companies: NORC at the The University of Chicago and NORC at the The University of Chicago and NORC at the The University of Chicago and NORC at the The University of Chicago and Bureau of Labor Statistics and Bureau of Labor Statistics
Address: 4350 East-West Highway, Bethesda, MD, 20814,
Keywords: Disclosure limitation ; Cell suppression ; Random noise method
Abstract:

The Quarterly Census of Employment and Wages (QCEW) program of the Bureau of Labor Statistics (BLS) publishes tabulations of monthly employment, quarterly wages, and number of establishments by industry and geography. In accordance with BLS policy, data provided to the Bureau in confidence should be used only for statistical purposes. In particular, the publication of data collected from BLS surveys should not lead to the identification of cooperating respondents. The BLS has been concerned about the current cell suppression method used with the QCEW. To address such concerns, BLS has conducted research about the random noise method as an alternative method.This paper provides an assessment of the BLS research to date. The paper begins with a review of the current cell suppression method in Section 2, focusing on the major disadvantages of the current method. Section 3 reviews the random


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