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Comparing Statistical Disclosure Control Methods for Tables: Identifying the Key Factors

Paul B. Massell
Component ID: #ti1843777292

Abstract

In recent years there has been much research on statistical control methods for tables. In some cases, new developments in mathematical programming and related operations research techniques have led to great speedups in the implementation of existing methods (e.g., cell suppression). In other cases, there have been new approaches to the method itself (e.g., cell perturbation and cell rounding). The result is that there are likely to be two or more methods that can be applied to any set of tables that must undergo disclosure control. How does an agency or statistical organization determine which method is best to use? In this paper, we try to identify the key factors in that decision and discuss how to apply them to a given method.

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