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Author Title Type [ Year(Asc)]
2017
Spencer, Bruce D., Julian May, Steven Kenyon, and Zachary Seeskin. "Cost-Benefit Analysis for a Quinquennial Census: The 2016 Population Census of South Africa." The Journal of Statistics Sweden 33, no. 1 (2017). DOI: https://doi.org/10.1515/jos-2017-0013, available at https://www.degruyter.com/view/j/jos.2017.33.issue-1/jos-2017-0013/jos-2017-0013.xml?format=INT.
Chen, Y., A. Machanavajjhala, J. P. Reiter, and A. Barrientos. "Differentially private regression diagnostics." In IEEE International Conference on Data Mining., 2017.
Hu, Jingchen, Jerome P. Reiter, and Quanli Wang. "Dirichlet Process Mixture Models for Modeling and Generating Synthetic Versions of Nested Categorical Data." Bayesian Analysis (2017). DOI: 10.1214/16-BA1047, available at http://projecteuclid.org/euclid.ba/1485227030.
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., 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/34/.
Kirchner, Antje, and Kristen Olson. "Examining Changes of Interview Length over the Course of the Field Period." Journal of Survey Statistics and Methodology 5, no. 1 (2017): 84-108, available at http://dx.doi.org/10.1093/jssam/smw031.
Sadinle, M., and J. P. Reiter. "Itemwise conditionally independent nonresponse modeling for multivariate categorical data." Biometrika 104 (2017): 207-220.
Abowd, John M., Kevin L. Mckinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination., 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/28/.
Murray, J. S., and J. P. Reiter. "Multiple imputation of missing categorical and continuous outcomes via Bayesian mixture models with local dependence." Journal of the American Statistical Association 111, no. 516 (2017): 1466-1479.
Vilhuber, Lars, and Dory Knight-Ingram. NCRN Newsletter: Volume 3 - Issue 3. NCRN Coordinating Office Preprint 1813:46686, 2017, available at http://hdl.handle.net/1813/46686.
Vilhuber, Lars, Ian Schmutte, and John M. Abowd. Proceedings from the 2016 NSF–Sloan Workshop on Practical Privacy. Cornell University Preprint 1813:46197, 2017, available at http://hdl.handle.net/1813/46197.
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/.
Karr, A. F.. "The role of statistical disclosure limitation in total survey error." Total Survey Error in Practice (2017): 71-94. DOI: 10.1002/9781119041702.ch4.
Eck, Adam, and Leen-Kiat Soh. Sequential Prediction of Respondent Behaviors Leading to Error in Web-based Surveys., 2017.
Cloutier, Julie, Lars Vilhuber, Denis Harrison, and Vanessa Béland-Ouellette. Understanding the Effect of Procedural Justice on Psychological Distress. American Psychological Association, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/35/.
Haney, Samuel, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, and Mark Kutzbach. "Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics." Proceedings of the 2017 ACM International Conference on Management of Data (2017). DOI: 10.1145/3035918.3035940, available at http://dl.acm.org/citation.cfm?doid=3035918.3035940.

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