Abstract Details
Activity Number:
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607
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract - #308123 |
Title:
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Evaluation of Selective Editing for the Census Bureau Foreign Trade Data
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Author(s):
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Maria Garcia*+ and Andreana Able and Christopher Grieves
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Companies:
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US Census Bureau and Census Bureau and US Census Bureau
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Keywords:
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editing ;
selective editing ;
score functions
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Abstract:
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The Foreign Trade Division at the US Census Bureau is responsible for the production of monthly import and export statistics. Data processing begins with extensive micro-editing using an automated editing and imputation system; records that do not pass the edits are automatically imputed. However, imputation may not be successful for a small portion of the failed records. Records for which imputation is not successful are sent to subject matter experts for manual review. Commodity analysts use their expertise to manually adjust failing records and must review a large number of records under tight time constraints by the monthly statistics publication deadline. Due to time and resource constraints, we have an ongoing effort to improve the current procedures while preserving (or improving) data quality. We investigate selective editing strategies for these data. Selective editing requires a score function to assign a priority ranking to erroneous records. We propose a score function that includes a measure of how suspicious a record is and a a measure of the anticipated error in the suspicious record. We present methodology and results of an evaluation study of the application of selective editing to foreign trade export data records.
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Authors who are presenting talks have a * after their name.
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