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Ernest Lawley

U.S. Census Bureau



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Stephen Ash

U.S. Census Bureau



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Brian Shaffer

U.S. Census Bureau



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Kathy Zha

U.S. Census Bureau



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422 – Statistical Quality and Estimation Validation: Measuring the Benefits

Are State-Level Estimates for the American Housing Survey Feasible?

Sponsor: Government Statistics Section
Keywords: Housing, Estimation, Sample Design

Ernest Lawley

U.S. Census Bureau

Stephen Ash

U.S. Census Bureau

Brian Shaffer

U.S. Census Bureau

Kathy Zha

U.S. Census Bureau

The American Housing Survey (AHS) provides key estimates about the housing stock of the United States at national and metropolitan (major cities) levels. As with other major surveys, there is general interest in estimates at lower levels of geography, particularly state-level estimates. This research will investigate if we can produce reliable state-level estimates for the new 2015 AHS sample and which methods we can apply to already existing survey data to produce reasonable estimates. In states where state-level estimates are not feasible, we will also investigate potential design changes that would lead to reliable estimates.

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