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Synthetic Establishment Microdata Around the World

File(s)
SJIAOS-intro-vilhuber-abowd-reiter.pdf (161.05 KB)
Main article
Permanent Link(s)
https://hdl.handle.net/1813/42340
Collections
Cornell University NCRN node
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Author
Vilhuber, Lars
Abowd, John M.
Reiter, Jerome P.
Abstract

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 part, this difficulty in providing access to business micro data is due to the skewed and sparse distributions that characterize business data. Synthetic data are simulated data generated from statistical models. We organized sessions at the 2015 World Statistical Congress and the 2015 Joint Statistical Meetings, highlighting work on synthetic establishment microdata. This overview situates those papers, published in this issue, within the broader literature.

Description
Presented at World Statistical Congress 2015 and Joint Statistical Meetings.
Sponsorship
Abowd and Vilhuber acknowledge support through NSF Grant SES-1042181. Reiter acknowledges support through NSF grant SES-11-31897.
Date Issued
2016
Publisher
Statistical Journal of the International Association for Official Statistics
Keywords
synthetic data
•
differential privacy
•
establishment microdata
•
United States
•
Brazil
•
Colombia
Related Version
Accepted version: Statistical Journal of the International Association for Official Statistics, forthcoming in 2016.
Related To
http://doi.org/10.3233/SJI-160964
Previously Published as
Statistical Journal of the IAOS, vol. 32, no. 1, pp. 65-68, 2016
Type
article

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