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Book Chapter
Abowd, John M., Lars Vilhuber, and William Block. "A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs." In Privacy in Statistical Databases, edited by Josep Domingo-Ferrer and Ilenia Tinnirello, 216-225. Vol. 7556. Lecture Notes in Computer Science 7556. Springer Berlin Heidelberg, 2012, available at http://dx.doi.org/10.1007/978-3-642-33627-0_17.
Journal Article
Abowd, John M., and Ian M. Schmutte. "Economic Analysis and Statistical Disclosure Limitation." Brookings Papers on Economic Activity Spring 2015 (2015), available at http://www.brookings.edu/about/projects/bpea/papers/2015/economic-analysis-statistical-disclosure-limitation.
Abowd, John M., and Kevin L. McKinney. "Noise infusion as a confidentiality protection measure for graph-based statistics." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 127-135. DOI: 10.3233/SJI-160958, available at http://content.iospress.com/articles/statistical-journal-of-the-iaos/sji958.
Vilhuber, Lars, John M. Abowd, and Jerome P. Reiter. "Synthetic establishment microdata around the world." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 65-68. DOI: 10.3233/SJI-160964, available at http://content.iospress.com/download/statistical-journal-of-the-iaos/sji964.
Report
Lagoze, Carl, William C. Block, Jeremy Williams, John M. Abowd, and Lars Vilhuber. Data Management of Confidential Data. Cornell University Preprint 1813:30924, 2012, available at http://hdl.handle.net/1813/30924.
Block, William C., Jeremy Williams, John M. Abowd, Lars Vilhuber, and Carl Lagoze. An Early Prototype of the Comprehensive Extensible Data Documentation and Access Repository (CED2AR). Cornell University Preprint 1813:30922, 2012, available at http://hdl.handle.net/1813/30922.
Abowd, John M., Kevin L. McKinney, and Nellie Zhao. Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data. Cornell University Preprint 1813:52609, 2017, available at http://hdl.handle.net/1813/52609.
Abowd, John M., and Ian M. Schmutte. Economic Analysis and Statistical Disclosure Limitation. Cornell University Preprint 1813:40581, 2015, available at http://hdl.handle.net/1813/40581.
Weinberg, Daniel, John M. Abowd, Robert F. Belli, Noel Cressie, David C. Folch, Scott H. Holan, Margaret C. Levenstein, Kristen M. Olson, Jerome P. Reiter, Matthew D. Shapiro et al. Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Secure the Future of the Federal Statistical System?. NCRN Coordinating Office Preprint 1813:52650, 2017, available at http://hdl.handle.net/1813/52650.
Abowd, John M.. How Will Statistical Agencies Operate When All Data Are Private?. Cornell University Preprint 1813:44663, 2016, available at http://hdl.handle.net/1813/44663.
Block, William C., Jeremy Williams, Lars Vilhuber, Carl Lagoze, Warren Brown, and John M. Abowd. Improving User Access to Metadata for Public and Restricted Use US Federal Statistical Files. Cornell University Preprint 1813:33362, 2013, available at http://hdl.handle.net/1813/33362.
Abowd, John M., Kevin L. McKinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Earnings Determination. Cornell University Preprint 1813:40306, 2016, available at http://hdl.handle.net/1813/40306.
Abowd, John M., Kevin L. McKinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination. NCRN Coordinating Office Preprint 1813:52608, 2015, available at http://hdl.handle.net/1813/52608.
Abowd, John M., Kevin L. McKinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination. Cornell University Preprint 1813:40306, 2015, available at http://hdl.handle.net/1813/40306.
Abowd, John M., and Stephen E. Fienberg. NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network. NCRN Coordinating Office Preprint 1813:40186, 2015, available at http://hdl.handle.net/1813/40186.
Abowd, John M., and Ian Schmutte. NCRN Meeting Spring 2015: Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods. NCRN Coordinating Office Preprint 1813:40184, 2015, available at http://hdl.handle.net/1813/40184.
Schneider, Matthew J., and John M. Abowd. A New Method for Protecting Interrelated Time Series with Bayesian Prior Distributions and Synthetic Data. Cornell University Preprint 1813:40828, 2014, available at http://hdl.handle.net/1813/40828.
Abowd, John M., Lars Vilhuber, and William Block. A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. Cornell University Preprint 1813:30923, 2011, available at http://hdl.handle.net/1813/30923.
Abowd, John M., Francis Kramarz, Sebastien Perez-Duarte, and Ian M. Schmutte. Sorting Between and Within Industries: A Testable Model of Assortative Matching. Cornell University Preprint 1813:52607, 2014, available at http://hdl.handle.net/1813/52607.