Federal Statistics, Multiple Data Sources, and Privacy Protection

Federal Statistics, Multiple Data Sources, and Privacy Protection
Author :
Publisher : National Academies Press
Total Pages : 195
Release :
ISBN-10 : 9780309465373
ISBN-13 : 0309465370
Rating : 4/5 (370 Downloads)

Book Synopsis Federal Statistics, Multiple Data Sources, and Privacy Protection by : National Academies of Sciences, Engineering, and Medicine

Download or read book Federal Statistics, Multiple Data Sources, and Privacy Protection written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-01-27 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Federal Statistics, Multiple Data Sources, and Privacy Protection Related Books

Federal Statistics, Multiple Data Sources, and Privacy Protection
Language: en
Pages: 195
Authors: National Academies of Sciences, Engineering, and Medicine
Categories: Social Science
Type: BOOK - Published: 2018-01-27 - Publisher: National Academies Press

GET EBOOK

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising
Innovations in Federal Statistics
Language: en
Pages: 151
Authors: National Academies of Sciences, Engineering, and Medicine
Categories: Social Science
Type: BOOK - Published: 2017-04-21 - Publisher: National Academies Press

GET EBOOK

Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments care
Statistical Thinking from Scratch
Language: en
Pages: 318
Authors: M. D. Edge
Categories: Mathematics
Type: BOOK - Published: 2019 - Publisher:

GET EBOOK

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition
Big Data for Twenty-First-Century Economic Statistics
Language: en
Pages: 502
Authors: Katharine G. Abraham
Categories: Business & Economics
Type: BOOK - Published: 2022-03-11 - Publisher: University of Chicago Press

GET EBOOK

Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapi
Monetary Statistics of the United States: Estimates, Sources, Methods
Language: en
Pages: 629
Authors: Milton Friedman
Categories: Social Science
Type: BOOK - Published: 1970 - Publisher: New York : National Bureau of Economic Research

GET EBOOK