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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.
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.
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 M. Schmutte. Economic Analysis and Statistical Disclosure Limitation. Cornell University Preprint 1813:40581, 2015, available at http://hdl.handle.net/1813/40581.
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.
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.. How Will Statistical Agencies Operate When All Data Are Private?. Cornell University Preprint 1813:44663, 2016, available at http://hdl.handle.net/1813/44663.
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., 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., 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.
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.