LBD Synthesis Procedures February 4 , 2011 Appendix to “ Towards Unrestricted Public Use Business Microdata : The Synthetic Longitudinal Business Database
By S. Kinney, J. Reiter, P. A., Reznek, J. Miranda, Ron S. Jarmin, M. J. 2011
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Vincent Bindschaedler
- Carl A. Gunter
- Reza Shokri
- Lei Xu
- Kalyan Veeramachaneni
- Joerg Drechsler
- Liwei Song
- Ahmed Salem
Citations in the corpus
- Synthesizing Tabular Data using Generative Adversarial Networks (2018, background): “At the same time, some researchers in the statistical sciences community have begun been using randomization-based methods to generate synthetic data [40, 37, 39, 25].”
- Plausible Deniability for Privacy-Preserving Data Synthesis (2017, methodology): “Despite all these obstacles, releasing full data records is firmly pursued by large-scale data holders such as the U.S. Census Bureau [21, 28, 27].”
- Multiple Imputation of Multilevel Missing Data—Rigor Versus Simplicity (2015, background): “…the values for all records are replaced by synthetic values at least for some of the variables (Abowd, Stinson, & Benedetto, 2006; Drechsler, 2011b; Drechsler, Bender, & Rässler, 2008; Drechsler, Dundler, Bender, Rässler, & Zwick, 2008; Drechsler and Reiter, 2010, 2011; Kinney et al., 2011).”