Longitudinal identifiers and matching in the Integrated Longitudinal Business Database (ILBD)

Chen Yeh and Claudia Macaluso

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

Abstract: In this technical report, we construct and analyze entry, exit, matching and transition rates for the universe of nonemployers, contained in the Integrated Longitudinal Business Database (ILBD), during the period 1994 – 2016. In particular, we present a methodology, partially based on the Text Frequency-Inverse Document Frequency (TF-IDF) algorithm, that allows researchers to improve matching between the ILBD, Business Register (BR) and LBD (Longitudinal Business Database). These matches can be crucial for our understanding of nonemployer-to-employer (NE-to-E) transitions.

Keywords: ILBD; LBD; BR (search for similar items in EconPapers)
Date: 2024-04
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