Imputing Missing Values in the US Census Bureau's County Business Patterns

Peter Schott, Natalie Yang, Fabian Eckert and Teresa Fort

No 14352, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: (1) employment for the majority of county-industry cells is suppressed to protect confidentiality, and (2) industry classifications change over time. We address both issues. First, we develop a linear programming method that exploits the large set of adding-up constraints implicit in the hierarchical arrangement of the data to impute missing employment. Second, we provide concordances to map all data to a consistent set of industry codes.

Date: 2020-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

Downloads: (external link)
https://cepr.org/publications/DP14352 (application/pdf)

Related works:
Working Paper: Imputing Missing Values in the US Census Bureau's County Business Patterns (2020)
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:cpr:ceprdp:14352

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP14352

Access Statistics for this paper

More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().