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The Use of Implied Edits and Set Covering in Automated Data Editing

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RR86-02

Introduction

The objective of this report is to provide an introduction to and a discussion of what has come to be known as the Fellegi-Holt approach to data editing. We present the basic procedures, discuss them, and provide examples to illustrate them. The most salient feature of the Fellegi-Holt editing method is that all fields are considered simultaneously when determining values to change on an edit failing record. This report does not cover all the details contained in “A Systematic Approach to Automatic Edit and Imputation” by I.P. Fellegi and D. Holt [FH], in particular, it does not contain proofs. We refer those interested to the Fellegi-Holt paper for additional technical features of the methods presented and for an excellent discussion of automated data editing. In Chapter II we introduce the concept of implied edits and show how implied edits are derived both for categorical and continuous data. As will become clear, the implied edits are crucial to determine fields to delete on an edit-failing record. In addition, implied edits are valuable in their own right as an aid in the evaluation of editing criteria.

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Page Last Revised - October 28, 2021
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