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Activity Number:
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441
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Type:
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Contributed
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Date/Time:
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Thursday, August 12, 2004 : 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 - #300974 |
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Title:
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Implicit Linear Inequality Edits Generation and Error Localization in the SPEER Edit System
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Author(s):
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Maria M. Garcia*+
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Companies:
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U.S. Census Bureau
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Address:
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4700 Silver Hill Rd., Washington, DC, DC, 20233-9100,
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Keywords:
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error localization ; editing ; Fellegi-Holt model
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Abstract:
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The Census Bureau's SPEER editing system applies the Fellegi-Holt model to economic establishment surveys under ratio edits and a limited form of balancing. If the complete set of explicit and implicit edits is available, then Fellegi-Holt methods have the advantage that they determine the minimal number of fields to change so that a record satisfies all edits in one pass through the data. For most surveys implicit edits are not generated because the generation requires days-to-months of computation. In some situations when implicit edits are not available Fellegi-Holt systems use integer programming methods to solve the error localization problem directly and slowly. With only a small subset of the needed implied edits, the current version of SPEER applies ad hoc heuristics that finds error-localization solutions that are not optimal for as much as five percent of the edit-failing records. We present recent modifications to the SPEER editing system that maintain its exceptional speed and do a better job of error localization. The new SPEER has an auxiliary program for generating implicit linear inequality edits.
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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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