Innovations in Federal Statistics

Innovations in Federal Statistics

Combining Data Sources While Protecting Privacy

  • Author: Harris-Kojetin, Brian A.; Groves, Robert M.
  • Publisher: National Academies Press
  • ISBN: 9780309454285
  • eISBN Pdf: 9780309454292
  • eISBN Epub: 9780309454315
  • Place of publication:  United States
  • Year of digital publication: 2017
  • Month: March
  • Pages: 151
  • DDC: 310
  • Language: English

Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for 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 able to fulfill growing demands for more timely information and for more detailed information at state and local levels.

Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm.

  • FrontMatter
  • Acknowledgments
  • Contents
  • Executive Summary
  • 1 Introduction
  • 2 Current Challenges and Opportunities in Federal Statistics
  • 3 Using Government Administrative and Other Data for Federal Statistics
  • 4 Using Private-Sector Data for Federal Statistics
  • 5 Protecting Privacy and Confidentiality While Providing Access to Data for Research Use
  • 6 Advancing the Paradigm of Combining Data Sources
  • References
  • Appendix A: Workshop Agendas
  • Appendix B: Biographical Sketches of Panel Members and Staff
  • Committee on National Statistics

SUBSCRIBE TO OUR NEWSLETTER

By subscribing, you accept our Privacy Policy