Documents

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Author Title [ Type(Desc)] Year
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Abowd, John. Presentation: Revisiting the Economics of Privacy: Population Statistics and Privacy as Public Goods. Cornell University Preprint 1813:30937, 2012, available at http://hdl.handle.net/1813/30937.
Vilhuber, Lars, and Ian Schmutte. Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy. Cornell University Preprint 1813:46197, 2017, available at http://hdl.handle.net/1813/46197.
Vilhuber, Lars, and Ian M. Schmutte. Proceedings from the 2017 Cornell-Census- NSF- Sloan Workshop on Practical Privacy. Cornell University Preprint 1813:52473, 2017, available at http://hdl.handle.net/1813/52473.
Vilhuber, Lars, Saki Kinney, and Ian M. Schmutte. Proceedings from the Synthetic LBD International Seminar. Cornell University Preprint 1813:52472, 2017, available at http://hdl.handle.net/1813/52472.
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.
Foote, Andrew, Mark J. Kutzbach, and Lars Vilhuber. Recalculating - How Uncertainty in Local Labor Market Definitions Affects Empirical Findings. Cornell University Preprint 1813:52649, 2017, available at http://hdl.handle.net/1813/52649.
Flaaen, Aaron, Matthew Shapiro, and Isaac Sorkin. Reconsidering the Consequences of Worker Displacements: Survey versus Administrative Measurements. University of Michigan mimeo, 2013, available at http://www-personal.umich.edu/~shapiro/papers/ReconsideringDisplacements.pdf.
Spielman, Seth, and David Folch. Reducing Uncertainty in the American Community Survey through Data-Driven Regionalization. University of Colorado at Boulder / University of Tennessee Preprint 1813:38121, 2014, available at http://hdl.handle.net/1813/38121.
Dalzell, N. M., and J. P. Reiter. Regression Modeling and File Matching Using Possibly Erroneous Matching Variables. ArXiv 1608.06309, 2016, available at http://arxiv.org/abs/1608.06309.
Abowd, John, and Ian M. Schmutte. Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods. NCRN Coordinating Office Preprint 1813:52612, 2017, available at http://hdl.handle.net/1813/52612.
Abowd, John M., and Ian M. Schmutte. Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods, Labor Dynamics Institute Document. 37, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/37/.
Abowd, John, and Ian M. Schmutte. Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods. Cornell University Preprint 1813:39081, 2017, available at http://hdl.handle.net/1813/39081.
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., Francis Kramarz, Sebastien Perez-Duarte, and Ian M. Schmutte. Sorting Between and Within Industries: A Testable Model of Assortative Matching. Labor Dynamics Institute Document 40, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/40/.
Vilhuber, Lars, John A. Abowd, and Jerome P. Reiter. Synthetic Establishment Microdata Around the World. Cornell University Preprint 1813:42340, 2015, available at http://hdl.handle.net/1813/42340.
Hudomiet, Peter. Twitter, Big Data, and Jobs Numbers, LSA Today. online, 2014, available at http://www.lsa.umich.edu/lsa/ci.twitterbigdataandjobsnumbers_ci.detail.
Green, Andrew, Mark J. Kutzbach, and Lars Vilhuber. Two Perspectives on Commuting: A Comparison of Home to Work Flows Across Job-Linked Survey and Administrative Files. Cornell University Preprint 1813:52611, 2017, available at http://hdl.handle.net/1813/52611.
Folch, David C., Daniel Arribas-Bel, Julia Koschinsky, and Seth E. Spielman. Uncertain Uncertainty: Spatial Variation in the Quality of American Community Survey Estimates. University of Colorado at Boulder / University of Tennessee Preprint 1813:38122, 2014, available at http://hdl.handle.net/1813/38122.
Chen, B., A. Shrivastava, and R. C. Steorts. Unique Entity Estimation with Application to the Syrian Conflict, arXiv. 1710.02690, 2017, available at https://arxiv.org/abs/1710.02690.
Miranda, Javier, and Lars Vilhuber. Using partially synthetic data to replace suppression in the Business Dynamics Statistics: early results. Cornell University Preprint 1813:40852, 2014, available at http://hdl.handle.net/1813/40852.
Vilhuber, Lars, and Javier Miranda. Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics. Cornell University Preprint 1813:42339, 2015, available at http://hdl.handle.net/1813/42339.
Antenucci, Dolan, Michael J. Cafarella, Margaret C. Levenstein, Christopher Ré, and Matthew Shapiro. Using Social Media to Measure Labor Market Flows. Mimeo, 2014, available at http://www-personal.umich.edu/~shapiro/papers/LaborFlowsSocialMedia.pdf.
Haney, Samuel, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, and Lars Vilhuber. Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. Cornell University Preprint 1813:49652, 2017, available at http://hdl.handle.net/1813/49652.
Abowd, John M.. Why Statistical Agencies Need to Take Privacy-loss Budgets Seriously, and What It Means When They Do., 2016, available at http://digitalcommons.ilr.cornell.edu/ldi/32/.
Thesis
Moehl, J.. Comparing models of Demographic Subpopulations (Master's Thesis). University of Tennessee masters, 2014, available at http://trace.tennessee.edu/utk_gradthes/2835/; http://trace.tennessee.edu/cgi/viewcontent.cgi?article=4005&context=utk_gradthes.

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