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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 288
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 10:30 AM to 12:20 PM
Sponsor: Section on Government Statistics
Abstract - #309063
Title: Can a Geographic Sort Improve Hot Deck Donor Imputation in the Canadian Census?
Author(s): Darryl Janes*+
Companies: Statistics Canada
Address: 100 Tunneys Pasture Driveway, Ottawa, ON, K1A 0T6, Canada
Keywords: CANCEIS ; Editing ; Donor Imputation ; Geographic sort
Abstract:

The quality of donor imputation relies upon the content of the chosen donors. The search for donors can be computationally expensive for an imputation system, so it is beneficial to find good donors quickly. A good donor usually has certain characteristics in common with the record requiring imputation. The Canadian Census Edit and Imputation System (CANCEIS) imputes data at the dwelling, family, or person level, and uses a ripple search in stages to find its donors. In the Canadian Census, data is sorted geographically so that nearby households or persons are the first to be considered as donors in hopes of improving imputation quality. This paper will examine the effect of the geographic sort (GEOSORT) in the Canadian Census, and what impact it may have on hot deck donor imputation results.

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Revised September, 2007