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Synthetic establishment microdata around the world

Publication ,  Journal Article
Vilhuber, L; Abowd, JM; Reiter, JP
Published in: Statistical Journal of the Iaos
February 27, 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 part, this difficulty in providing access to business microdata 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 \emph{establishment} microdata. This overview situates those papers, published in this issue, within the broader literature.

Duke Scholars

Published In

Statistical Journal of the Iaos

DOI

ISSN

1874-7655

Publication Date

February 27, 2016

Volume

32

Issue

1

Start / End Page

65 / 68

Related Subject Headings

  • Economics
  • 4905 Statistics
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Vilhuber, L., Abowd, J. M., & Reiter, J. P. (2016). Synthetic establishment microdata around the world. Statistical Journal of the Iaos, 32(1), 65–68. https://doi.org/10.3233/SJI-160964
Vilhuber, L., J. M. Abowd, and J. P. Reiter. “Synthetic establishment microdata around the world.” Statistical Journal of the Iaos 32, no. 1 (February 27, 2016): 65–68. https://doi.org/10.3233/SJI-160964.
Vilhuber L, Abowd JM, Reiter JP. Synthetic establishment microdata around the world. Statistical Journal of the Iaos. 2016 Feb 27;32(1):65–8.
Vilhuber, L., et al. “Synthetic establishment microdata around the world.” Statistical Journal of the Iaos, vol. 32, no. 1, Feb. 2016, pp. 65–68. Scopus, doi:10.3233/SJI-160964.
Vilhuber L, Abowd JM, Reiter JP. Synthetic establishment microdata around the world. Statistical Journal of the Iaos. 2016 Feb 27;32(1):65–68.

Published In

Statistical Journal of the Iaos

DOI

ISSN

1874-7655

Publication Date

February 27, 2016

Volume

32

Issue

1

Start / End Page

65 / 68

Related Subject Headings

  • Economics
  • 4905 Statistics
  • 0104 Statistics