JSM 2005 - Toronto

Abstract #303355

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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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 54
Type: Topic Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Section on Government Statistics
Abstract - #303355
Title: Statistical Uses of Social Security Administrative Data
Author(s): Dawn E. Haines*+ and Brian Greenberg
Companies: Social Security Administration and Social Security Administration
Address: Office of Research, Evaluation, and Statistics, Baltimore, MD, 21235,
Keywords: Social Security Administration ; Adminsitrative Data
Abstract:

The Office of Research, Evaluation, and Statistics (ORES) of the Social Security Administration (SSA) employs administrative data to produce a wide range of statistical publications on the impact and workings of Social Security programs and the beneficiary population. ORES creates restricted-use microdata files for external research studies and releases public-use microdata files based on administrative data and survey data linked to administrative data. Through linkages of SSA administrative data to survey information, SSA produces demographic estimates of the current beneficiary population and develops models to project demographic and economic characteristics of the current working population into the future. Linked survey and administrative data are used to evaluate and enhance the quality of demographic survey data, improve estimates from demographic surveys, and augment information collected. This presentation provides detailed information about SSA statistical products, discusses linkages of administrative data to survey data, and describes benefits derived from linked files.


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Revised March 2005