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Activity Number: 580 - Federal Statistics, Multiple Data Sources, and Privacy Protection
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2018 : 2:00 PM to 3:50 PM
Sponsor: Government Statistics Section
Abstract #329519 Presentation 1 Presentation 2 Presentation 3 Presentation 4
Title: Using Multiple Data Sources for Federal Statistics: Next Steps and Applications
Author(s): Frauke Kreuter* and Nancy Kirkendall* and Peter Miller* and Hubert Hamer*
Companies: Joint Program in Survey Methodology and National Academies of Sciences, Engineering, and Medicine and Northwestern University and National Agricultural Statistics Service
Keywords: administrative records; quality frameworks; privacy; small area estimates
Abstract:

Federal statistics provide vital indicators of the wellbeing of the population and the economy. For decades the sample survey has been a primary method of collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not keeping up with growing demands for more timely and detailed local information, rather than national information. The Committee on National Statistics, a standing board at the National Academy of Sciences, Engineering, and Medicine, recently completed two major consensus panel studies that discuss the potential and illustrate the benefits of a shift in federal statistical programs-from the current approach of providing users with the output from a single census, survey, or administrative records source, to an approach combining data sources to give users richer and more reliable datasets. This panel session will provide presentations on the major conclusions and recommendations from the report on Federal Statistics, Multiple Data Sources, and Privacy Protection: Next Steps, and the report on Improving Crop Estimates by Integrating Multiple Data Sources.


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

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