Proceedings from the Synthetic LBD International Seminar

On May 9, 2017, we hosted a seminar to discuss the conditions necessary to im- plement the SynLBD approach with interested parties, with the goal of providing a straightforward toolkit to implement the same procedure on other data. The proceed- ings summarize the discussions during the workshop

Synthetic Longitudinal Business Database

The workshop was held at the Census Bureau’s Headquarters in Suitland, MD.A workshop that brought together university-based researchers, members of the international official statistical community, and other interested user communities was held on July 31, 2009, the Friday before the 2009 Joint Statistical Meetings in Washington DC at the U.S. Census Bureau's Headquarters building in Suitland, MD. The purpose of the workshop was to discuss and critique newly created public-use micro-data files that are based on the concepts of “synthetic data” and “partially synthetic data.”Funding for the conference and its preparation were provided by National Science Foundation (NSF) Grant SES-0922494, the U.S. Census Bureau's Center for Economic Studies, the Internal Revenue Service (IRS), and the Edmund Ezra Day Professorship at Cornell University

Presentation: Synthetic Data Generation for Firm Links

This presentation is part of the NCRN's Virtual Seminar series.In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments' confidentiality. Agencies potentially can manage these risks by releasing synthetic microdata, i.e., individual establishment records simulated from statistical models designed to mimic the joint distribution of the underlying observed data. Previously, we used this approach to generate a public-use version---now available for public use---of the U.S. Census Bureau's Longitudinal Business Database (LBD), a longitudinal census of establishments dating back to 1976. While the synthetic LBD has proven to be a useful product, we now seek to improve and expand it by using new synthesis models and adding features. This paper describes our efforts to create the second generation of the SynLBD, including synthesis procedures that we believe could be replicated in other contexts.Presentation sponsored by NCRN Coordinating Office (NSF Grant 1507241). Kinney's work sponsored by Triangle Census Research Network (TCRN; NSF Grant 1131897

Overview: Synthetic Longitudinal Business Data International User Seminar

An overview over the content of the Synthetic Longitudinal Business Data International User Seminar, based in part on a presentation prepared by Saki Kinney for the 2013 World Statistics Congress (WSC2013).Kinney's work sponsored under NSF Grant ITR-0427889 and Triangle Census Research Network (TCRN; NSF Grant 1131897). Funding for the workshop is provided by the National Science Foundation (CNS-1012593, SES-1131848) and the Alfred P. Sloan Foundation

Confidentiality of the SynLBD

We describe the confidentiality protection provided by the SynLBD. The presentation was originally prepared by Saki Kinney for the World Statistics Congress 2013.Kinney's work sponsored under NSF Grant ITR-0427889 and Triangle Census Research Network (TCRN; NSF Grant 1131897). Funding for the workshop is provided by the National Science Foundation (CNS-1012593, SES-1131848) and the Alfred P. Sloan Foundation