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Predicting Complementary Cell Suppressions Given Primary Cell Suppression Conditions

CDAR2016-05
Phyllis Singer and Nelson Chung
Component ID: #ti2043919505

Abstract

The U.S. Census Bureau uses cell suppression methodology as the primary disclosure avoidance methodology for various economic surveys and the Economic Census. A research group has been involved in updating cell suppression processing for the 2017 Economic Census. Previous results show that ordering primary cell suppression affects the output of the cell suppression program. This paper describes two of the many research projects for improving cell suppression at the Census Bureau. One project was to use modelling to predict what happens for a particular primary cell in the cell suppression routine. The other project was to estimate empirically the long-term average number and sum of secondary suppressions for randomly ordered primary suppressions.

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