A New Revenue Imputation Model for Single-Unit Firms in the LBD

Brian C. Fujiy

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

Abstract: This technical note introduces a revenue imputation framework for single-unit (SU) firms in the Longitudinal Business Database (LBD). The method partitions SU firms according to their revenue and payroll reporting patterns and estimates partition-specific models of revenue based on observable firm covariates. The fitted models are then used to impute missing values and address outliers. Starting with the 2023 LBD vintage, the framework generates two variables: bds_rev (imputed revenue) and bds_rev_flag (indicator of imputation type). Quality assurance results indicate marked improvements in data quality relative to lbd_rev (reported revenue ) for SU firms in the LBD.

Keywords: LBD; BDS (search for similar items in EconPapers)
Date: 2026-09
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