Generating Synthetic microdata from published marginal tables and confidentialised files

Lee, Alan

dc.contributor.author	Lee, Alan	en
dc.date.accessioned	2012-05-10T00:26:06Z	en
dc.date.issued	2009	en
dc.identifier.citation	Official Statistics Research Series 5:123 pages 2009	en
dc.identifier.issn	1177-5017	en
dc.identifier.uri	http://hdl.handle.net/2292/17832	en
dc.description.abstract	We describe several methods for generating synthetic data sets, using a combination of publically available marginal tables, and microdata samples. Our methods are based on fitting parsimonious statistical models to high-dimensional tables of relative frequencies, and then generating synthetic data from these models. We describe a set of R functions which implement the methods under study, and apply the methods to data from the 2001 Census of Population and Dwellings.	en
dc.publisher	Statistics New Zealand	en
dc.relation.ispartofseries	Official Statistics Research Series	en
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.title	Generating Synthetic microdata from published marginal tables and confidentialised files	en
dc.type	Journal Article	en
pubs.volume	5	en
dc.rights.holder	Copyright: Statistics New Zealand	en
pubs.author-url	http://www.statisphere.govt.nz/further-resources-and-info/official-statistics-research/series/~/media/statisphere/Files/official-statistics-research-series/volume-5-2009/generating-synthetic-microdata-from-published-tables-and-confidentialised-files.pdf	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en
pubs.subtype	Article	en
pubs.elements-id	90757	en
pubs.record-created-at-source-date	2010-09-01	en