Abstract #301099

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JSM 2003 Abstract #301099
Activity Number: 408
Type: Topic Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Government Statistics
Abstract - #301099
Title: Race Modeling: Using Administrative Record Data to Predict Census Race and Hispanicity
Author(s): Dean Resnick*+
Companies: U.S. Census Bureau
Address: 4700 Silver Hill Rd., Washington, DC, 20233-0006,
Keywords: administrative records ; ethnicity ; numident ; logistic regression
Abstract:

Public policy analyses often require race and ethnicity data. The best race and ethnicity data for the U.S. population come from Census 2000. The Census Bureau has used probabilistic matching algorithms to link Census 2000 data, which does not include a unique person identifier, to administrative record data. Due to the limitations of the matching, not all persons in administrative records could be located in census data. For these persons not located, we developed a model that allows us to predict census race and ethnicity according to administrative records characteristics. The administrative data used for this modeling include name, place-of-birth, location of current residence, race reported to the Social Security Administration, and Indian Health Service participation. This paper explains the requirements for the model, the structure of the model, the findings of the modeling process, and the success of the model for individual prediction as well as for aggregate statistics.

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