JSM 2004 - Toronto

Abstract #300927

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Activity Number: 369
Type: Topic Contributed
Date/Time: Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #300927
Title: Investigating the Use of IRS Tax Data in the SAIPE School District Poverty Estimates
Author(s): Jerry J. Maples*+
Companies: U.S. Census Bureau
Address: SRD Room 3132 Bldg. 4, Washington, DC, 20233,
Keywords: administrative records ; SAIPE ; small-area estimation
Abstract:

The Small Area Income and Poverty Estimates (SAIPE) program provides estimates for selected income and poverty statistics for states, counties, and school districts. School districts are decomposed into pieces to avoid overlapping county boundaries. In the current school district poverty model, within-county shares of poverty are created for each school district piece based on the most recent census long-form data. These shares allocate the county's child poverty to each school district piece and the estimate of the school district is the sum of the poverty in its pieces. Recently, tabulations of the IRS income tax table at the school-district-piece-level have become available. IRS income tax return data, number of child exemptions on returns with income below the poverty line, can provide information about poverty that is more temporally relevant than the decennial data during noncensus years. However, some school district pieces do not have IRS income tax data and this disproportionately affects the smaller sized pieces. We will investigate two types of models which will use both the IRS tax data and decennial data.

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