Combining Data Sources While Protecting Privacy
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THE NATIONAL ACADEMIES PRESS This PDF is available at http://nap.edu/24652 SHARE Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy DETAILS 150 pages | 6 x 9 | PAPERBACK ISBN 978-0-309-45428-5 | DOI 10.17226/24652 CONTRIBUTORS GET THIS BOOK Robert M. Groves and Brian A. Harris-Kojetin, Editors; Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods; Committee on National FIND RELATED TITLES Statistics; Division of Behavioral and Social Sciences and Education; National Academies of Sciences, Engineering, and Medicine Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy INNOVATIONS IN FEDERAL STATISTICS Combining Data Sources While Protecting Privacy Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods Robert M. Groves and Brian A. Harris-Kojetin, Editors Committee on National Statistics Division of Behavioral and Social Sciences and Education A Report of Copyright National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 This activity was supported by a grant from the Laura and John Arnold Founda- tion 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 Founda- tion (award number SES-1024012). Any opinions, findings, conclusions, or recom- mendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. International Standard Book Number-13: 978-0-309-45428-5 International Standard Book Number-10: 0-309-45428-X Digital Object Identifier: 10.17226/24652 Additional copies of this publication are available for sale from the National Acad- emies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624- 6242 or (202) 334-3313; http://www.nap.edu. Copyright 2017 by the National Academy of Sciences. All rights reserved. Printed in the United States of America Suggested citation: National Academies of Sciences, Engineering, and Medicine. (2017). Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy. Washington, DC: The National Academies Press. doi: 10.17226/24652. Copyright National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy The National Academy of Sciences was established in 1863 by an Act of Con- gress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president. The National Academy of Engineering was established in 1964 under the char- ter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. C. D. Mote, Jr., is president. 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Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy Reports document the evidence-based consensus of an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and committee deliberations. Reports are peer reviewed and are approved by the National Academies of Sci- ences, Engineering, and Medicine. Proceedings chronicle the presentations and discussions at a workshop, sym- posium, or other convening event. The statements and opinions contained in proceedings are those of the participants and are not necessarily endorsed by other participants, the planning committee, or the National Academies of Sci- ences, Engineering, and Medicine. For information about other products and activities of the National Academies, please visit nationalacademies.org/whatwedo. Copyright National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy PANEL ON IMPROVING FEDERAL STATISTICS FOR POLICY AND SOCIAL SCIENCE RESEARCH USING MULTIPLE DATA SOURCES AND STATE-OF-THE-ART ESTIMATION METHODS ROBERT M. GROVES (Chair), Provost, Georgetown University MICHAEL E. CHERNEW, Department of Health Care Policy, Harvard Medical School PIET DAAS, Department of Corporate Services, Information Technology, and Methodology, Statistics Netherlands CYNTHIA DWORK, John A. Paulson School of Engineering and Applied Sciences and Radcliffe Institute for Advanced Study, Harvard University OPHIR FRIEDER, Department of Computer Sciences, Georgetown University HOSAGRAHAR V. JAGADISH, Computer Science and Engineering, University of Michigan FRAUKE KREUTER, Joint Program in Survey Methodology, University of Maryland, and Statistics and Methodology, University of Mannheim and Institute for Employment Research SHARON LOHR, Vice President, Westat, Rockville, Maryland JAMES P. LYNCH, Department of Criminology and Criminal Justice, University of Maryland COLM O’MUIRCHEARTAIGH, Harris School of Public Policy Studies, University of Chicago TRIVELLORE RAGHUNATHAN, Institute for Social Research, University of Michigan ROBERTO RIGOBON, Sloan School of Management, Massachusetts Institute of Technology MARC ROTENBERG, President, Electronic Privacy Information Center, Washington, DC BRIAN HARRIS-KOJETIN, Study Director HERMANN HABERMANN, Senior Program Officer GEORGE SCHOEFFEL, Research Assistant AGNES GASKIN, Administrative Assistant v Copyright National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy COMMITTEE ON NATIONAL STATISTICS LAWRENCE D. BROWN (Chair), Department of Statistics, The Wharton School, University of Pennsylvania FRANCINE BLAU, Department of Economics, Cornell University MARY ELLEN BOCK, Department of Statistics (Emerita), Purdue University MICHAEL CHERNEW, Department of Health Care Policy, Harvard Medical School JANET CURRIE, Department of Economics, Princeton University DONALD DILLMAN, Social and Economic Sciences Research Center, Washington State University CONSTANTINE GATSONIS, Department of Biostatistics and Center for Statistical Sciences, Brown University JAMES S. HOUSE, Survey Research Center, Institute for Social Research, University of Michigan THOMAS MESENBOURG, U.S. Census Bureau (Retired) SUSAN MURPHY, Department of Statistics and Institute for Social Research, University of Michigan SARAH NUSSER, Office of the Vice President for Research, Iowa State University COLM O’MUIRCHEARTAIGH, Harris School of Public Policy Studies, University of Chicago RUTH PETERSON, Criminal Justice Research Center, Ohio State University ROBERTO RIGOBON, Sloan School of Management, Massachusetts Institute of Technology EDWARD SHORTLIFFE, Department of Biomedical Informatics, Columbia University and Arizona State University CONSTANCE F. CITRO, Director BRIAN HARRIS-KOJETIN, Deputy Director vi Copyright National Academy of Sciences. All rights reserved. Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy Acknowledgments his report of the Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State- Tof-the-Art Estimation Methods is the product of contributions from many colleagues, whom we thank for their generous sharing of their time and expertise. The panel is grateful to the Laura and John Arnold Foundation for funding this study, and to foundation staff Stuart Buck and Meredith McPhail for their help and guidance throughout the study. The panel also is grateful for the supplemental funding provided by the National