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Activity Number: 295 - SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 1
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #306979 Presentation
Title: A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey
Author(s): Rachel Harter* and Amang Sukasih and Jeniffer Iriondo-Perez and Akhil Vaish
Companies: RTI International and RTI International and RTI International and RTI International
Keywords: small area; OMAS; hierarchical Bayes; MCMC; OpenBugs; uninsured rates

Much literature has been written about the theory and statistical properties of small area estimators, but very little has been written about the practical aspects of producing small area estimates. This paper summarizes the basic steps for producing small area estimates. The steps involve identifying requirements such as dependent variables of interest and small areas or domains of interest; identifying and compiling auxiliary data and selecting significant predictors; determining an appropriate model, estimation method, and software for running the model; and producing, validating, and reporting the estimates. The steps are illustrated by the production of estimates of the proportion of adults without health insurance coverage, by county, using data from the Ohio Medicaid Assessment Survey.

Authors who are presenting talks have a * after their name.

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