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 establishment microdata. This overview situates those papers, published in this issue, within the broader literature.
%0 Journal Article
%1 VilhuberAbowdReiter-SJIAOS2016
%A Vilhuber, Lars
%A Abowd, John M.
%A Reiter, Jerome P.
%D 2016
%I IOS Press
%J Statistical Journal of the IAOS
%K imported
%N 1
%P 65--68
%R 10.3233/SJI-160964
%T Synthetic establishment microdata around the world
%U http://doi.org/10.3233/SJI-160964
%V 32
%X 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 establishment microdata. This overview situates those papers, published in this issue, within the broader literature.
@article{VilhuberAbowdReiter-SJIAOS2016,
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 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.},
added-at = {2016-09-30T21:18:21.000+0200},
author = {Vilhuber, Lars and Abowd, John M. and Reiter, Jerome P.},
biburl = {https://www.bibsonomy.org/bibtex/291ed4070af95350634dddb0ea96826a8/ncrn-cornell},
doi = {10.3233/SJI-160964},
file = {:VilhuberAbowdReiter-SJIAOS2016.pdf:PDF},
interhash = {9922cc0b224d2111612c8265511482eb},
intrahash = {91ed4070af95350634dddb0ea96826a8},
issn = {1874-7655},
journal = {Statistical Journal of the IAOS},
keywords = {imported},
month = Feb,
number = 1,
owner = {vilhuber},
pages = {65--68},
publisher = {IOS Press},
timestamp = {2016-09-30T21:18:21.000+0200},
title = {Synthetic establishment microdata around the world},
url = {http://doi.org/10.3233/SJI-160964},
volume = 32,
year = 2016
}