Economics at your fingertips  

Establishment Size Distributions in the Synthetic LBD

Illenin Kondo, Logan Lewis () and Andrea Stella ()

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

Abstract: We compare parametric estimates of the establishment size distribution between the Synthetic Longitudinal Business Database (SynLBD) against our results (Kondo et al. 2020) using the confidential Longitudinal Business Database (LBD). We find that while the SynLBD qualitatively produces the same ranking of distribution fit, the differences in quantitative estimates are economically meaningful. In particular, we show that the SynLBD does not accurately represent the right tail of the establishment size distribution.

Date: 2021-09
New Economics Papers: this item is included in nep-isf
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) First version, 2021 (application/pdf)
CES Technical Notes may contain confidential data and, thereby, disclosure is prohibited. Researchers on approved projects (to apply for access, please see with the correct permissions can request full text notes from

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:

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 ().

Page updated 2023-01-20
Handle: RePEc:cen:tnotes:21-06