Synthetic Longitudinal Business Database
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Last update to metadata: 2016-11-11 11:47:26 (auto-generated)
Document Date: January 6th, 2014
Codebook prepared by: Lars Vilhuber
Data prepared by: United States Department of Commerce, Bureau of the Census , Duke University , and Cornell University, Labor Dynamics Institute
Principal Investigator(s): United States Department of Commerce. Bureau of the Census. , Internal Revenue Service. , and Cornell University. Labor Dynamics Institute.
Comprehensive Extensible Data Documentation and Access Repository. Codebook for the Synthetic LBD Version 2.0 [Codebook file]. Cornell Institute for Social and Economic Research and Labor Dynamics Institute [distributor]. Cornell University, Ithaca, NY, 2013
U.S. Census Bureau. Synthetic Longitudinal Business Database: Version 2.0 [Computer file]. Washington DC; Cornell University, Synthetic Data Server [distributor], Ithaca, NY, 2013
synlbd1997c.dta synlbd1997c.dta (Incomplete URL provided - synlbd1997c.dta ) ( Stata )
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Additional information: https://www.census.gov/ces/dataproducts/synlbd/accesslbd.html
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- Kinney, Satkartar K., Jerome P. Reiter, Arnold P. Reznek, Javier Miranda, Ron S. Jarmin and John M. Abowd. 2011. CES WP-11-04 In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments' confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.