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Article type: Research Article
Authors: Buss, Terry F.a | Lin, Xiannuanb | Popovich, Mark G.c
Affiliations: [a] Department of Urban Studies, University of Akron, Gallucci Hall, Akron, OH 44325, USA | [b] Department of Urban Studies, Massachusetts Institute of Technology, USA | [c] Council of State Policy and Planning Agencies, Washington, DC, USA
Note: [1] Research in this study was funded by the U.S. Economic Development Administration (EDA). The authors would like to thank James Souby and Barbara Dyer of the Council of State Policy and Planning Agencies and David Geddes of EDA for their support on this project. Special thanks are extended to Celeste Long of the USDA Economic Research Service and Dick Sampson of the Department of Employment Services for providing us with the USEEM and ES202 data. We very much appreciate Governor Terry Branstad's help in facilitating the project. Several eminent scholars with expertise on this topic reviewed our paper: Sammis White, Urban Research Center, University of Wisconsin–Milwaukee; Jim Miller, Economist, Economic Research Service, USDA; Bruce D. Phillips, Director of Database Management, U.S. Small Business Administration; and Roger Vaughan, Poger Vaughan and Associates. We are deeply indebted for their assistance. We, of course, bare sole responsibility for errors in and interpretation of the findings.
Abstract: Researchers conducting economic base, targeted industry, business survival, or new business start-up research must be able to enumerate all firms in local economies. Dun and Bradstreet market identifier files (and their derivative public use database, U.S. Enterprise and Establishment Microdata file), state unemployment insurance administrative files (ES202), and direct enumeration (e.g. telephone Yellow Pages, etc) are becoming more widely used for enumeration, but little is known about their comparative representativeness. Using rural Iowa as a case study, the three databases were compared. Results showed that each database was biased in its own way and therefore not strictly comparable to the others. The study concluded that the databases would need to be supplemented if high levels of accuracy are required.
DOI: 10.3233/JEM-1991-17103
Journal: Journal of Economic and Social Measurement, vol. 17, no. 1, pp. 45-55, 1991
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