Understanding and improving the firm-level revenue measures from the Business Register (BR) files
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 measures of firm-level revenues for 1997-2017. Our analysis consists of four parts. First, we start by understanding the sample characteristics of the firm-level revised LBD (version 2019) that can be merged with the Business Register (BR) revenue files as constructed by Haltiwanger et al. (2020). In particular, we characterize which types of firms are most likely to have missing revenues (in terms of size and industry). Second, we characterize the sample characteristics of the establishment-level revised LBD (version 2019) that can be merged with a variety of Economic Censuses that include revenues. Third, we analyze whether firm-level revenue measures from the BR files can be improved upon by constructing revenue measures from the Economic Censuses and the Service Annual Survey files. Fourth and last, we compare firm-level revenues that are obtained from the BR files and the Economic Censuses.
Keywords: LBD; BR/SSEL (search for similar items in EconPapers)
Date: 2023-03
New Economics Papers: this item is included in nep-eff, nep-mac and nep-sbm
References: Add references at CitEc 
Citations: 
Downloads: (external link)
https://www2.census.gov/ces/tn/CES-TN-2023-03.pdf Abstract (application/pdf)
https://www.census.gov/about/adrm/ced/apply-for-access.html?CES-TN-2023-03 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:23-03
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 ().