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Author: United States. Social Security Administration. Office of Research, Statistics, and International Policy
Publisher:
ISBN:
Category : Public welfare
Languages : en
Pages : 86
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Book Description
Author: United States. Social Security Administration. Office of Research, Statistics, and International Policy
Publisher:
ISBN:
Category : Public welfare
Languages : en
Pages : 86
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Book Description
Author: Conference of European Statisticians
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 114
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Book Description
These guidelines have been prepared a Task Force set up by the Conference of European Statisticians, with two main objectives.- The first is to foster greater uniformity of approach by countries to allow better access to microdata for the research community. The second is to produce guidelines and supporting case studies, which will help countries improve their arrangements for providing access to microdata.
Author: Robert H. McGuckin
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 36
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Author: Harold Mantel
Publisher:
ISBN:
Category : Confidential communications
Languages : en
Pages : 19
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Book Description
This paper reviews methodology for creating and analyzing synthetic data files, as implemented for various US Census Bureau survey programs -- particularly a SIPP/SSA/IRS linked file and group quarters data from the American Community Survey. The motivation for synthetic data is to be able to release a public use microdata file suitable for analysis that is not confidential. Methods for data synthesis and proper analysis of synthesized data are reviewed, and issues of confidentiality and analytical validity are discussed. The paper concludes with a literature review.
Author: George T. Duncan
Publisher: Springer Science & Business Media
ISBN: 144197802X
Category : Social Science
Languages : en
Pages : 205
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Book Description
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: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309465370
Category : Social Science
Languages : en
Pages : 195
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Book Description
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:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 202
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Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 186
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Book Description
Author: Nuno Crato
Publisher: Springer
ISBN: 3319784617
Category : Political Science
Languages : en
Pages : 344
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Book Description
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 468
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Book Description
