IDEAS home Printed from
   My bibliography  Save this paper

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


  • Thomas A Abbott III
  • Stephen H Andrews


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

    Download full text from publisher

    File URL:
    Download Restriction: no


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    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.

    More about this item


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


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:90-7. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Erica Coates). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.