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Activity Number:
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556
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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 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Government Statistics
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| Abstract - #304028 |
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Title:
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Searching for Donors: Refining an Imputation Strategy
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Author(s):
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Michael Hogye*+ and Peter Quan
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Companies:
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National Agricultural Statistics Service and National Agricultural Statistics Service
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Address:
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USDA, 3251 Old Lee Highway, Fairfax, VA, 22030-1504,
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Keywords:
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imputation ; donor-pool ; donor ; editing
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Abstract:
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For editing data from the 2007 U.S. Census of Agriculture, USDA/NASS built upon the foundation it laid for the 2002 Ag Census, when it ventured for the first time into editing and imputation on a large scale. Institutional acceptance of automated data correction was hindered in 2002 by problems inherent in establishing an entirely new enterprise-level processing system. Changes for 2007 were thus focused on making the system more responsive and reliable. This paper is an overview of improvements facilitated by development of a new imputation subsystem. New tools were provided---within the framework of decision logic tables (DLTs) built by NASS---not only to make donor data available directly to DLTs, but also to improve donor selection, especially through stratification. A variety of SAS techniques were used to achieve better speed in identifying and retrieving nearest neighbors.
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