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Cornell University NCRN node
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The NCRN-Cornell node is a part of the NSF-Census Research Network, the first nodes of which were created and funded in 2011.
For more information, see http://www.ncrn.cornell.edu
Recent Submissions
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Synthetic Establishment Microdata Around the World
(Statistical Journal of the International Association for Official Statistics, 2016)In contrast to the many public-use microdata samples available for individual and household data from many statistical agencies around the world, there are virtually no establishment or firm microdata available. In large ... -
Using Partially Synthetic Microdata to Protect Sensitive Cells in Business Statistics
(Statistical Journal of the International Association for Official Statistics, 2016)We describe and analyze a method that blends records from both observed and synthetic microdata into public-use tabulations on establishment statistics. The resulting tables use synthetic data only in potentially sensitive ... -
Noise Infusion as a Confidentiality Protection Measure for Graph-Based Statistics
(Statistical Journal of the International Association for Official Statistics, 2016)We use the bipartite graph representation of longitudinally linked employer-employee data, and the associated projections onto the employer and employee nodes, respectively, to characterize the set of potential statistical ... -
Using partially synthetic data to replace suppression in the Business Dynamics Statistics: early results
(2014-09-17)The Business Dynamics Statistics is a product of the U.S. Census Bureau that provides measures of business openings and closings, and job creation and destruction, by a variety of cross-classifications (firm and establishment ... -
A New Method for Protecting Interrelated Time Series with Bayesian Prior Distributions and Synthetic Data
(2015)Organizations disseminate statistical summaries of administrative data via the Web for unrestricted public use. They balance the trade-off between confidentiality protection and inference quality. Recent developments in ...
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