Abstract #301399

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JSM 2003 Abstract #301399
Activity Number: 13
Type: Topic Contributed
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Government Statistics
Abstract - #301399
Title: Can the American Community Survey Trust Using Respondent Data to Impute Data for Survey Nonrespondents?
Author(s): Theresa F. Leslie*+ and David A. Raglin and Emily Braker
Companies: U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau
Address: 6840 Bayberry Xing, Owings, MD, 20736-4310,
Keywords: survey nonresponse ; imputation ; ACS
Abstract:

The American Community Survey (ACS) has been developed to gather demographic and socioeconomic data that has been traditionally collected using the Census long form (Bureau of the Census 2001). It is important for the ACS data to be representative of the population because federal funding is allocated depending on the survey results (Bureau of the Census 2001). Response is one key element in generating quality and representative data. Due to nonresponse, however, some sample units remain unmeasured (Groves and Couper 1998), and when nonresponse arises, data are then statistically inferred (Bureau of the Census 2001), often using respondents' data to compensate for the missing information. However, Groves and Couper (1998) note that even with small differences between respondents and nonrespondents, a high nonresponse rate can increase the likelihood of bias. Therefore, statistically inferring data, to account for nonresponse, can decrease data quality (Bureau of the Census 2001). When using such methods, statisticians make the assumption that the nonrespondents are similar to the respondents.

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