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Ganshert, Amanda, Kristen Olson, and Jolene Smyth. The Effects of Respondent and Question Characteristics on Respondent Behaviors.
Gao, T., J. Hullman, E. Adar, B. Hect, and N. Diakopoulos. NewsViews: An Automated Pipeline for Creating Custom Geovisualizations for News., 2014, available at http://cond.org/newsviews.html . DOI: 10.1145/2556288.2557228.
Gathright, Graton, Mark Kutzbach, Kristin Mccue, Erika McEntarfer, Holly Monti, Kelly Trageser, Lars Vilhuber, Nada Wasi, and Christopher Wignall. NCRN Meeting Spring 2014: Summer Working Group for Employer List Linking (SWELL). NCRN Coordinating Office Preprint 1813:36396, 2014, available at http://hdl.handle.net/1813/36396.
Gelman, Michael, Shachar Kariv, Matthew D. Shapiro, Dan Silverman, and Steven Tadelis. How individuals smooth spending: Evidence from the 2013 government shutdown using account data. National Bureau of Economic Research, 2015.
Gelman, Michael. "Understanding Household Consumption and Saving Behavior using Account Data." (forthcoming).
Gelman, M., S. Kariv, M.D. Shapiro, D. Silverman, and S. Tadelis. "Harnessing Naturally Occurring Data to Measure the Response of Spending to Income." Science 345, no. 11 (2014). DOI: 10.1126/science.1247727, available at http://www.sciencemag.org/content/345/6193/212.full.
Gelman, Michael, Yuriy Gorodnichenko, Shachar Kariv, Dmitri Koustas, Matthew D. Shapiro, Daniel Silverman, and Steven Tadelis. "The Response of Consumer Spending to Changes in Gasoline Prices." (forthcoming).
Ghosth, S., and S. L. Parish. "Deprivation Among U.S. Children With Disabilities Who Receive Supplemental Security Income." Journal of Disability Policy Studies (2014). DOI: 10.1177/1044207314539011.
Green, Andrew. Hours Off the Clock. Cornell University Preprint 1813:52610, 2016, available at http://hdl.handle.net/1813/52610.
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.
Greenfield, Jay, and Sophia Kuan. NCRN Meeting Spring 2014: Adaptive Protocols and the DDI 4 Process Model. NCRN Coordinating Office Preprint 1813:36393, 2014, available at http://hdl.handle.net/1813/36393.
Griffin, A. L., S. E. Spielman, N. N. Nagle, J. Jurjevich, M. Merrick, and D. C. Folch. "Supporting Planners' work with Uncertain Demographic Data." In Proceedings of IEEE VIS 2014, 9-14. Proceedings of IEEE VIS 2014, 2014, available at http://cognitivegiscience.psu.edu/uncertainty2014/papers/griffin_demographic.pdf.
Griffin, A. L., S. E. Spielman, J. Jurjevich, M. Merrick, N. N. Nagle, and D. C. Folch. "Supporting Planners' Work with Uncertain Demographic Data." In GIScience Workshop on Uncertainty Visualization. Vol. 23., 2014, available at http://cognitivegiscience.psu.edu/uncertainty2014/papers/griffin_demographic.pdf..
Groshen, Erica L.. NCRN Meeting Spring 2015: Comment on: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network. NCRN Coordinating Office Preprint 1813:40187, 2015, available at http://hdl.handle.net/1813/40187.
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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. Flexible prior specification for partially identified nonlinear regression with binary responses. arXiv 1407.8430, 2014, available at https://arxiv.org/abs/1407.8430v1.
Hall, Robert, Stephen E. Fienberg, and Yuval Nardi. "Secure multiparty linear regression based on homomorphic encryption." Journal of Official Statistics 27 (2011): 669.
Hall, R., R. Steorts, and S. E. Fienberg. "Bayesian Parametric and Nonparametric Inference for Multiple Record Likage." In Modern Nonparametric Methods in Machine Learning Workshop. NIPS, 2012, available at http://www.stat.cmu.edu/NCRN/PUBLIC/files/beka_nips_finalsub4.pdf.
Hall, Robert, and Stephen E. Fienberg. "Valid Statistical Inference on Automatically Matched Files." In Privacy in Statistical Databases, edited by Josep Domingo-Ferrer and Ilenia Tinnirello, 131-142. Springer, 2012.
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.
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.
Holan, S.H.. "Bayesian Dynamic Time-Frequency Estimation." In Twelfth World Meeting of ISBA. Cancun, Mexico: ISBA, 2014.

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