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A Roadmap for Disclosure Avoidance in the Survey of Income and Program Participation

By: (Author) Committee on National Statistics , (Author) Division of Behavioral and Social Sciences and Education , (Author) and Medicine National Academies of Sciences Engineering , (Author) Panel to Create a Roadmap for Disclosure Avoidance in the Survey of Income and Program Participatio , (Edited by) Bradford Chaney , (Edited by) Trivellore Raghunathan

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Ksh 7,200.00

Format: Paperback or Softback

ISBN-10: 0309707102

ISBN-13: 9780309707107

Publisher: National Academies Press

Imprint: National Academies Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 26th, 2024

Print length: 272 Pages

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The Survey of Income and Program Participation (SIPP) is one of the U.S. Census Bureau's major surveys with features making it a uniquely valuable resource for researchers and policy analysts. However, the Census Bureau faces the challenge of protecting the confidentiality of survey respondents which has become increasingly difficult because numerous databases exist with personal identifying information that collectively contain data on household finances, home values, purchasing behavior, and other SIPP-relevant characteristics. A Roadmap for Disclosure Avoidance in the Survey of Income and Program Participation addresses these issues and how to make data from SIPP available to researchers and policymakers while protecting the confidentiality of survey respondents. The report considers factors such as evolving privacy risks, development of new methods for protecting privacy, the nature of the data collected through SIPP, the practice of linking SIPP data with administrative data, the types of data products produced, and the desire to provide timely access to SIPP data. The report seeks to balance minimizing the risk of disclosure against allowing researchers and policymakers to have timely access to data that support valid inferences. Table of ContentsFront MatterSummary1 Introduction2 Overview: Survey of Income and Program Participation (SIPP) and Its Uses3 Measuring of Disclosure Risk and Ways of Assessing It4 Overview of Disclosure Limitation Approaches5 Disclosure Limitation Approaches: Secure Online Data Access (SODA)6 Disclosure Limitation Approaches: Synthetic Data7 Disclosure Limitation Approaches: Flexible Table Generator and Remote Analysis Platforms8 Disclosure Limitation Approaches: Geography Variables9 Maintaining Usability While Preserving Confidentiality: Potential Strategies10 Conclusions and RecommendationsReferencesAppendix A: Technical Details on Measuring Disclosure RiskAppendix B: Inferences Based on Multiple Synthetic DataAppendix C: Technical Details for Differential Privacy Table BuilderAppendix D: Technical Details for Geography VariablesAppendix E: Data Collection ReportAppendix F: Sources Used for Figures 9-1 and 9-2Appendix G: Biographical Sketches of the PanelCommittee on National Statistics

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