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Imputing Missing Values in the US Census Bureau's County Business Patterns / Fabian Eckert, Teresa C. Fort, Peter K. Schott, Natalie J. Yang.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Eckert, Fabian.
Contributor:
National Bureau of Economic Research.
Fort, Teresa C.
Schott, Peter K.
Yang, Natalie J.
Series:
Working Paper Series (National Bureau of Economic Research) no. w26632.
NBER working paper series no. w26632
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2020.
Summary:
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: (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. Finally, we construct a user-friendly, 1975 to 2016 county-level panel that classifies industries according to a consistent set of 2012 NAICS codes in all years.
Notes:
Print version record
January 2020.

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