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  • 1. Specialization and Coverage Ratios for the Manufacturing Industries of Canada Archived
    Articles and reports: 61F0041M1997001
    Description:

    Primary product specialization and coverage ratios are now being produced and published for Canadian manufacturing industries. This paper reviews concepts, outlines uses, summarizes 1994 data, details a number of methodological issues, examines sources of change over time and measures those sources by means of a shift/share decomposition. The paper also describes the algorithm that has been developed for detecting and treating confidential values. This algorithm includes the use of rounding and the application of ranges; such treatment maintains confidentiality while allowing specialization and coverage data to be released for each and every manufacturing industry. The Appendix comprises specialization and coverage ratios for 1994.

    Release date: 1999-09-01
  • 2. Personalized Questionnaires for Canada's Annual Survey of Manufactures Archived
    Surveys and statistical programs – Documentation: 61F0041M1998003
    Description:

    This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.

    After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.

    Release date: 1998-04-03
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  • 1. Specialization and Coverage Ratios for the Manufacturing Industries of Canada Archived
    Articles and reports: 61F0041M1997001
    Description:

    Primary product specialization and coverage ratios are now being produced and published for Canadian manufacturing industries. This paper reviews concepts, outlines uses, summarizes 1994 data, details a number of methodological issues, examines sources of change over time and measures those sources by means of a shift/share decomposition. The paper also describes the algorithm that has been developed for detecting and treating confidential values. This algorithm includes the use of rounding and the application of ranges; such treatment maintains confidentiality while allowing specialization and coverage data to be released for each and every manufacturing industry. The Appendix comprises specialization and coverage ratios for 1994.

    Release date: 1999-09-01
Reference (1)

Reference (1) ((1 result))

  • 1. Personalized Questionnaires for Canada's Annual Survey of Manufactures Archived
    Surveys and statistical programs – Documentation: 61F0041M1998003
    Description:

    This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.

    After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.

    Release date: 1998-04-03
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