LBD Documentation: Auto Repair Shop Industry: Evaluation of Probabilistic Linking Algorithms

Javier Miranda

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

Abstract: Probabilistic matching algorithms using name and address information are 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). These algorithms will be used in the development of the Longitudinal Business Database, a database of longitudinally linked SSEL records. The algorithms tested generate a substantial number of links that would otherwise be missed using only numerical linking procedures. The error match rates achieved are significantly below those achieved in previous attempts using similar but less sophisticated procedures.

Keywords: LBD (search for similar items in EconPapers)
Date: 2002-02
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www2.census.gov/ces/tn/CES-TN-2002-02.pdf Abstract (application/pdf)
https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2002-02 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:02-02

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 ().