JSM 2005 - Toronto

Abstract #303443

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 356
Type: Topic Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #303443
Title: Measuring Discriminatory Power of Imputation Methods in an Enumeration
Author(s): Yves Thibaudeau*+ and Inez Chen and Robert Sands
Companies: U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau
Address: 1037 17th Street, S., Arlington, VA, 22202, United States
Keywords: Hot-Deck ; Spatial Model ; Discriminatory Power
Abstract:

To compensate for missing data in surveys and censuses, the U.S. Census Bureau traditionally implements versions of the nearest-neighbor hot-deck. However, an array of possible imputation methods is under investigation for status, vacancy, and count imputation in the 2010 decennial census. In addition to the hot-deck, we consider direct or modeled information retrieval from administrative records in addition to substitution based on statistical spatial models. In the investigative effort, we set to quantify the performance of these imputation methods. The investigation proceeds from a propensity analysis of the Census 2000 missing data pattern. In this paper, we focus on performance measurements in terms of the discriminatory power of each method. We quantify discriminatory power by the cross-product ratio (CPR) (i.e., the ratio of the odds of a correct imputation). The CPR is tailored for situations where two values may be imputed.

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Revised March 2005