Online Program

Thursday, February 21
PS1 Poster Session 1 & Opening Mixer Thu, Feb 21, 6:30 PM - 8:00 PM
Napoleon Ballroom

Explaining Small Area Estimation Methodology to Non-Statistician End Users (302569)

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*Lucinda Dalzell, U.S. Census Bureau 
Scott Gilkeson, U.S. Census Bureau 
Walter Holmes, U.S. Census Bureau 

Keywords: small area estimates, data visualization, Census Bureau, SAIPE, SAHIE

The US Census Bureau has two sponsored small area estimates programs: SAIPE and SAHIE. Small Area Income and Poverty Estimates (SAIPE) is produced for the National Center for Education Statistics and used in allocating Title I funds, the largest source of federal education funding. SAIPE uses a Fay-Herriot model-based approach. The Small Area Health Insurance Estimates (SAHIE) program produces estimates of health insurance coverage by demographic and economic characteristics for use by the Centers for Disease Control and Prevention in assessing cancer-screening outreach efforts. SAHIE uses a Bayesian hierarchical approach.

The Census Bureau provides technical descriptions of the methodologies with enough detail that external statisticians can assess model validity. However, many key consumers of the data are not statisticians and need a simpler description.

This e-poster presentation will illustrate data visualization techniques that make the methodologies more understandable and useful to non-statistician audiences. The presentation will include short, animated sequences describing the SAIPE and SAHIE production processes and application of the estimates in one domain as an example.