EconPapers    
Economics at your fingertips  
 

Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study

Jerome P. Reiter

Journal of the Royal Statistical Society Series A, 2005, vol. 168, issue 1, 185-205

Abstract: Summary. The paper presents an illustration and empirical study of releasing multiply imputed, fully synthetic public use microdata. Simulations based on data from the US Current Population Survey are used to evaluate the potential validity of inferences based on fully synthetic data for a variety of descriptive and analytic estimands, to assess the degree of protection of confidentiality that is afforded by fully synthetic data and to illustrate the specification of synthetic data imputation models. Benefits and limitations of releasing fully synthetic data sets are discussed.

Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (25)

Downloads: (external link)
https://doi.org/10.1111/j.1467-985X.2004.00343.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:168:y:2005:i:1:p:185-205

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jorssa:v:168:y:2005:i:1:p:185-205