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Small Area Estimation from the American Community Survey using a Hierarchical Logistic Model of Persons and Housing Units

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Small Area Estimation from the American Community Survey using a Hierarchical Logistic Model of Persons and Housing Units

Written by:
RRS2003-08

Abstract

Small Area Estimation from the American Community Survey Using a Hierarchical Logistic Model of Persons and Housing Units
Download Small Area Estimation from the American Community Survey Using a Hierarchical Logistic Model of Persons and Housing Units [PDF - <1.0 MB]

A multivariate binomial/multinomial model is proposed for estimating poverty and housing-unit characteristics of small areas. It is demonstrated that the model is in concordance with the design in that the model can reproduce within small area design-based estimates of variance. The methodology for producing estimates is presented, along with several evaluations using data from the American Community Survey. It is concluded that this approach can be a viable way to make small area estimates without needing to assume that the design-based estimates of variance are fixed (as in most area-level models).

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