JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 607
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract - #308123
Title: Evaluation of Selective Editing for the Census Bureau Foreign Trade Data
Author(s): Maria Garcia*+ and Andreana Able and Christopher Grieves
Companies: US Census Bureau and Census Bureau and US Census Bureau
Keywords: editing ; selective editing ; score functions
Abstract:

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.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.