Statistical Agencies
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| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 151 |
| Release | : 2017-04-21 |
| Genre | : Social Science |
| ISBN | : 030945428X |
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.
| Author | : Cosmo Howard |
| Publisher | : Cambridge University Press |
| Total Pages | : 245 |
| Release | : 2021-03-18 |
| Genre | : Business & Economics |
| ISBN | : 1108491227 |
Presents an interview-based study of how political and professional agendas affect government statistical agencies in five liberal democracies.
| Author | : Pat Doyle |
| Publisher | : Elsevier Science & Technology |
| Total Pages | : 474 |
| Release | : 2001 |
| Genre | : Business & Economics |
| ISBN | : |
There is a fundamental tension at the heart of every statistical agency mission. Each is charged with collecting high quality data to inform the national policy and enable statistical research. This necessitates dissemination of both summary and micro data. Each is also charged with protecting the confidentiality of survey respondents. This often necessitates the blurring of the data to reduce the probability of the re-identification of individuals. The tradeoff dilemma, which could well be stated as protecting confidentiality (avoiding disclosure) but optimizing access, has become more complex as both technological advances and public perceptions have altered in an information age. Fortunately, statistical disclosure techniques have kept pace with these changes. This volume is intended to provide a review of new state of the art techniques that directly address these issues from both a theoretical and practical perspective. It provides a review of new research in the area of confidentiality and statistical disclosure techniques. A major section of the book provides an overview of new advances in the field of both economic and demographic data in measuring disclosure risk and information loss. It also presents new information on the different approaches taken by statistical agencies in disseminating data - ranging from licensing agreements , to secure access and provides a new survey of what statistical disclosure techniques are used by statistical agencies around the world. This is complimented by a series of chapters on public perceptions of statistical agency actions, including the results of a new survey on business perceptions. The book concludes with a chapter on the challenges of technology to data protection. National Statistical Agencies, statistical practitioners, thinktanks, research organisations and universities will find this a useful tool.
| Author | : |
| Publisher | : |
| Total Pages | : 228 |
| Release | : 2004 |
| Genre | : Aliens |
| ISBN | : |
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 195 |
| Release | : 2018-01-27 |
| Genre | : Social Science |
| ISBN | : 0309465370 |
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.
| Author | : James M. McDermott |
| Publisher | : DIANE Publishing |
| Total Pages | : 60 |
| Release | : 1997-02 |
| Genre | : |
| ISBN | : 0788141074 |
This report uses selected guidelines to evaluate the performance of four statistical agencies -- the Bureaus of the Census and Economic Analysis in the Dept. of Commerce, the Bureau of Labor Statistics in the Dept. of Labor, and the National Center for Health Statistics in the Dept. of Health and Human Services. Also provides information on the activities of the Office of Management and Budget which coordinates and oversees the statistical activities of the agencies that constitute the federal statistical system. Charts and tables.
| Author | : George T. Duncan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 205 |
| Release | : 2011-03-22 |
| Genre | : Social Science |
| ISBN | : 144197802X |
Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, “Just give me the data; I’m only going to do good things with it.” Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.
| Author | : |
| Publisher | : |
| Total Pages | : 60 |
| Release | : 1993 |
| Genre | : United States |
| ISBN | : |
| Author | : DIANE Publishing Company |
| Publisher | : DIANE Publishing |
| Total Pages | : 48 |
| Release | : 1996-11 |
| Genre | : Law |
| ISBN | : 9780788134722 |
72 federal agencies provide statistical information. This report lists the legislatively mandated reports that statistical agencies are to produce for Congress on a regular basis & the statutory authority for the reports. Provides a listing of authorizing statutes establishing the agencies & confidentiality or disclosure provisions for the 11 principal statistical agencies, a listing of these agencies' mandated reporting requirements to Congress & a listing of uses of the agencies' statistical products in the administration of federal programs. Charts & tables.
| Author | : Panel on Confidentiality and Data Access |
| Publisher | : National Academies Press |
| Total Pages | : 261 |
| Release | : 1993-01-15 |
| Genre | : Computers |
| ISBN | : 9780309086516 |
Americans are increasingly concerned about the privacy of personal data--yet we demand more and more information for public decision making. This volume explores the seeming conflicts between privacy and data access, an issue of concern to federal statistical agencies collecting the data, research organizations using the data, and individuals providing the data. A panel of experts offers principles and specific recommendations for managing data and improving the balance between needed government use of data and the privacy of respondents. The volume examines factors such as the growth of computer technology, that are making confidentiality an increasingly critical problem. The volume explores how data collectors communicate with data providers, with a focus on informed consent to use data, and describes the legal and ethical obligations data users have toward individual subjects as well as toward the agencies providing the data. In the context of historical practices in the United States, Canada, and Sweden, statistical techniques for protecting individuals' identities are evaluated in detail. Legislative and regulatory restraints on access to data are examined, including a discussion about their effects on research. This volume will be an important and thought-provoking guide for policymakers and agencies working with statistics as well as researchers and concerned individuals.
