JSM 2005 Online Program

Abstract #303507

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	228
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Government Statistics
Abstract - #303507
Title:	Using Medicaid Participant Data in the Estimation of County Poverty Levels
Author(s):	David S. Powers*+
Companies:	U.S. Census Bureau
Address:	U.S. Census Bureau, HHES - SAEB, Washington, DC, 20233-8500,
Keywords:	small-area estimation ; small-domain areas ; SAIPE ; Medicaid ; income ; poverty
Abstract:	The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program produces state and county income and poverty estimates using decennial census data, household survey data, administrative records, and population estimates. This research focuses on augmenting the SAIPE program's county regression models with an additional predictor, Medicaid participant data, from the Centers for Medicare and Medicaid Services. Since Medicaid eligibility is means tested based on income and assets, many Medicaid participants may live in families that have income below the federal poverty threshold. Medicaid participant totals might then assist in the estimation of county poverty levels. Summaries of county poverty estimates are presented under both the current SAIPE model and the expanded model for the year 2000. Errors are compared to gauge model improvement.

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