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Barrientos, A. F., A. Bolton, T. Balmat, J. P. Reiter, A. Machanavajjhala, Y. Chen, C. Kneifel, M. DeLong, and J. M. de Figueiredo. "A framework for sharing confidential research data, applied to investigating differential pay by race in the U. S. government." (Submitted).
2018
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." Journal of Labor Economics (2018).
2017
Holan, S.H., T.S. McElroy, and G. Wu. "The Cepstral Model for Multivariate Time Series: The Vector Exponential Model." Statistica Sinica 27 (2017): 23-42. DOI: 10.5705/ss.202014.0024, available at http://www3.stat.sinica.edu.tw/statistica/J27N1/J27N12/J27N12.html.
Spencer, Bruce D., Julian May, Steven Kenyon, and Zachary Seeskin. "Cost-Benefit Analysis for a Quinquennial Census: The 2016 Population Census of South Africa." Journal of Official Statistics 33, no. 1 (2017). DOI: 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.
Chen, Y., A. Machanavajjhala, J. P. Reiter, and A. Barrientos. "Differentially private regression diagnostics." In IEEE International Conference on Data Mining., 2017.
Early, Kirstin, Jennifer Mankoff, and Stephen E. Fienberg. "Dynamic Question Ordering in Online Surveys." Journal of Official Statistics 33, no. 3 (2017). DOI: https://doi.org/10.1515/jos-2017-0030.
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/.
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 Earnings Determination." Journal of Business & Economic Statistics (2017): 0. DOI: 10.1080/07350015.2017.1356727, available at http://dx.doi.org/10.1080/07350015.2017.1356727.
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.
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.
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.
2016
McClure, D., and J. P. Reiter. "Assessing disclosure risks for synthetic data with arbitrary intruder knowledge." Statistical Journal of the International Association for Official Statistics 32, no. 1 (2016): 109-126. DOI: 10.3233/SJI-160957, available at http://content.iospress.com/download/statistical-journal-of-the-iaos/sji957.
Hahn, P. R., J. S. Murray, and I. Manolopoulou. "A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct." Journal of the American Statistical Association 111, no. 513 (2016): 14-26. DOI: 10.1080/01621459.2015.1084307, available at http://www.tandfonline.com/doi/full/10.1080/01621459.2015.1084307.
Hahn, P. R., J. S. Murray, and I. Manolopoulou. "A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct." Journal of the American Statistical Association 111, no. 513 (2016): 14-26. DOI: 10.1080/01621459.2015.1084307, available at http://www.tandfonline.com/doi/full/10.1080/01621459.2015.1084307.
Manrique-Vallier, Daniel, and Jerome P. Reiter. "Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1231612, available at http://dx.doi.org/10.1080/01621459.2016.1231612.
McElroy, T.S., and S.H. Holan. "Computation of the Autocovariances for Time Series with Multiple Long-Range Persistencies." Computational Statistics and Data Analysis (2016): 44-56, available at http://www.sciencedirect.com/science/article/pii/S0167947316300202.
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.
Murray, Jared S., and Jerome P. Reiter. "Multiple Imputation of Missing Categorical and Continuous Values via Bayesian Mixture Models with Local Dependence." Journal of the American Statistical Association (2016). DOI: 10.1080/01621459.2016.1174132, available at http://dx.doi.org/10.1080/01621459.2016.1174132.
Mccue, Kristin, John Abowd, Margaret Levenstein, Dhiren Patki, Ann Rodgers, Matthew Shapiro, and Nada Wasi. NCRN Meeting Spring 2016: Developing job linkages for the Health and Retirement Study. University of Michigan Preprint 1813:43895, 2016, available at http://hdl.handle.net/1813/43895.
Clifton, Chris, Shawn Merill, and Keith Merill. NCRN Meeting Spring 2017: Practical Issues in Anonymity. NCRN Coordinating Office Preprint 1813:52166, 2016, available at http://hdl.handle.net/1813/52166.
Clifton, Chris, Shawn Merill, and Keith Merill. NCRN Meeting Spring 2017: Practical Issues in Anonymity. NCRN Coordinating Office Preprint 1813:52166, 2016, available at http://hdl.handle.net/1813/52166.
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.
Clifton, Chris, Shawn Merill, and Keith Merill. Practical Issues in Anonymity. NCRN Coordinating Office Preprint 1813:52166, 2016, available at http://hdl.handle.net/1813/52166.

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