Evalution of Name and Address Linkage Algorithms: SAS Data Quality Server versus Automatch

Javier Miranda

CES Technical Notes Series from Center for Economic Studies, U.S. Census Bureau

Abstract: This paper evaluates character based (name and address) linking algorithms from two alternative software packages SAS and AUTOMATCH. Their performance is evaluated in a set of experiments that link establishments from the 1987 SSEL to the 1992 SSEL. To facilitate the computation of error match rates I focus on a narrow industry subset of all establishments in the SSEL; the Auto Repair Shop Industry (SIC 753). The analysis shows that the algorithms tested generate a substantial number of links that would otherwise be missed using only numerical linking procedures. Error match rates are comparable across software packages. Match rates for reorganizing establishments are slightly higher with AUTOMATCH.

Keywords: LBD (search for similar items in EconPapers)
Date: 2005-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www2.census.gov/ces/tn/CES-TN-2005-01.pdf Abstract (application/pdf)
https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2005-01 Confidential main document (application/pdf)
Researchers need to have obtained appropriate permissions.

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:cen:tnotes:05-01

Access Statistics for this paper

More papers in CES Technical Notes Series from Center for Economic Studies, U.S. Census Bureau Contact information at EDIRC.
Bibliographic data for series maintained by Danielle H. Sandler ().