Hidden Bibliographic Details
| Other uniform titles: | Complemented by (work): Innovations in federal statistics.
|
|---|
| Other authors / contributors: | Harris-Kojetin, Brian A., editor.
Groves, Robert M., editor.
National Academies of Sciences, Engineering, and Medicine (U.S.). Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods.
|
|---|
| ISBN: | 9780309465380
0309465389
9780309465373
0309465370
|
|---|
| Notes: | "This is the second Consensus Study Report of the Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods. Our first report, Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy, was released in January 2017"--Page ix.
Includes bibliographical references.
This activity was supported by a grant from the Laura and John Arnold Foundation with additional support from the National Academy of Sciences Kellogg Fund. Support for the work of the Committee on National Statistics is provided by a consortium of federal agencies through a grant from the National Science Foundation, a National Agricultural Statistics Service cooperative agreement, and several individual contracts. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
Online resource; title from PDF title page (viewed February 16, 2018).
|
|---|
| Summary: | The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.
|
|---|
| Other form: | Print version: National Academies of Sciences, Engineering, and Medicine. Federal Statistics, Multiple Data Sources, and Privacy Protection : Next Steps. Washington, D.C. : National Academies Press, ©2017 9780309465373
|
|---|
