Longitudinal Firm Trade Transactions Database (LFTTD): Artificial Intelligence Machine Learning Algorithm for Business Names

Wei Ouyang

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

Abstract: This technical note describes the artificial intelligence (AI) machine learning (ML) algorithm used in the Canadian Exporter Business Register (LFTTD). It examines the challenges associated with matching business names in Canadian export data with those in the Business Register. The note also outlines the considerations underlying the algorithm and explains how it addresses these data-matching challenges.

Keywords: LFTTD (search for similar items in EconPapers)
Date: 2026-09
New Economics Papers: this item is included in nep-cmp
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www2.census.gov/ces/tn/CES-TN-2026-44.pdf Abstract (application/pdf)
https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2026-44 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:26-44

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 ().