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The Classification of Manufacturing Industries: an Input-Based Clustering of Activity

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  • Thomas A Abbott III
  • Stephen H Andrews

Abstract

The classification and aggregation of manufacturing data is vital for the analysis and reporting of economic activity. Most organizations and researchers use the Standard Industrial Classification (SIC) system for this purpose. This is, however, not the only option. Our paper examines an alternative classification based on clustering activity using production technologies. While this approach yields results which are similar to the SIC, there are important differences between the two classifications in terms of the specific industrial categories and the amount of information lost through aggregation.

Suggested Citation

  • Thomas A Abbott III & Stephen H Andrews, 1990. "The Classification of Manufacturing Industries: an Input-Based Clustering of Activity," Working Papers 90-7, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:90-7
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    File URL: https://www2.census.gov/ces/wp/1990/CES-WP-90-07.pdf
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    Cited by:

    1. Robert H Mcguckin, 1991. "Multiple Classification Systems For Economic Data: Can A Thousand Flowers Bloom? And Should They?," Working Papers 91-8, Center for Economic Studies, U.S. Census Bureau.
    2. repec:dau:papers:123456789/13294 is not listed on IDEAS
    3. Robert H Mcguckin & Suzanne Peck, 1992. "Manufacturing Establishments Reclassified Into New Industries: The Effect Of Survey Design Rules," Working Papers 92-14, Center for Economic Studies, U.S. Census Bureau.
    4. David Flacher & Jacques Pelletan, 2007. "Le concept d'industrie et sa mesure : origines, limites et perspectives - Une application à l'étude des mutations industrielles," Économie et Statistique, Programme National Persée, vol. 405(1), pages 13-46.

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    Keywords

    CES; economic; research; micro; data; microdata; chief; economist;

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