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Activity Number:
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596
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304091 |
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Title:
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Improvement of Data Quality Assurance in the EIA Weekly Gasoline Prices Survey
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Author(s):
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Bin Zhang*+ and Paula Mason and Amerine Woodyard and Benita O'Colmain
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Companies:
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Energy Information Administration and Energy Information Administration and Energy Information Administration and ICF Macro
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Address:
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1000 Independence Ave., SW, Washington, DC, 20585,
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Keywords:
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edit ; validation
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Abstract:
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The EIA weekly survey of retail gasoline prices collects prices using a Computer Assisted Telephone Interview system with interactive data editing embedded to assure data quality. Edit performance statistics, however, showed that the data editing criterion sometimes missed true outliers at one end of the price change distribution and falsely over flagged outliers at the other end of the distribution, especially during times of large price change seen in the last three years. In order to improve the efficiency of the data editing criterion, a new data editing criterion based on price change relative to market change was developed. In addition, a new post-collection data validation procedure for screening price and price change outliers by region and grade that makes use of all respondents collected was also implemented in the survey process to further assure data quality.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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