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  • 1. The Integrated Approach to Economic Surveys in Canada Archived
    Surveys and statistical programs – Documentation: 68-514-X
    Description:

    Statistics Canada's approach to gathering and disseminating economic data has developed over several decades into a highly integrated system for collection and estimation that feeds the framework of the Canadian System of National Accounts.

    The key to this approach was creation of the Unified Enterprise Survey, the goal of which was to improve the consistency, coherence, breadth and depth of business survey data.

    The UES did so by bringing many of Statistics Canada's individual annual business surveys under a common framework. This framework included a single survey frame, a sample design framework, conceptual harmonization of survey content, means of using relevant administrative data, common data collection, processing and analysis tools, and a common data warehouse.

    Release date: 2006-11-20
  • 2. Merging area-level census data with survey data in Statistics Canada research data centres Archived
    Articles and reports: 12-002-X20060019254
    Description:

    This article explains how to append census area-level summary data to survey or administrative data. It uses examples from datasets present in Statistics Canada Research Data Centres, but the methods also apply to external datasets. Four examples illustrate common situations faced by researchers: (1) when the survey (or administrative) and census data both contain the same level of geographic identifiers, coded to the same year standard ("vintage") of census geography; (2) when the two files contain geographic identifiers of the same vintage, but at different levels of census geography; (3) when the two files contain data coded to different vintages of census geography; (4) when the survey data are lacking in geographic identifiers, and those identifiers must first be generated from postal codes present on the file. The examples are shown using SAS syntax, but the principles apply to other programming languages or statistical packages.

    Release date: 2006-07-18
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  • 1. Merging area-level census data with survey data in Statistics Canada research data centres Archived
    Articles and reports: 12-002-X20060019254
    Description:

    This article explains how to append census area-level summary data to survey or administrative data. It uses examples from datasets present in Statistics Canada Research Data Centres, but the methods also apply to external datasets. Four examples illustrate common situations faced by researchers: (1) when the survey (or administrative) and census data both contain the same level of geographic identifiers, coded to the same year standard ("vintage") of census geography; (2) when the two files contain geographic identifiers of the same vintage, but at different levels of census geography; (3) when the two files contain data coded to different vintages of census geography; (4) when the survey data are lacking in geographic identifiers, and those identifiers must first be generated from postal codes present on the file. The examples are shown using SAS syntax, but the principles apply to other programming languages or statistical packages.

    Release date: 2006-07-18
Reference (1)

Reference (1) ((1 result))

  • 1. The Integrated Approach to Economic Surveys in Canada Archived
    Surveys and statistical programs – Documentation: 68-514-X
    Description:

    Statistics Canada's approach to gathering and disseminating economic data has developed over several decades into a highly integrated system for collection and estimation that feeds the framework of the Canadian System of National Accounts.

    The key to this approach was creation of the Unified Enterprise Survey, the goal of which was to improve the consistency, coherence, breadth and depth of business survey data.

    The UES did so by bringing many of Statistics Canada's individual annual business surveys under a common framework. This framework included a single survey frame, a sample design framework, conceptual harmonization of survey content, means of using relevant administrative data, common data collection, processing and analysis tools, and a common data warehouse.

    Release date: 2006-11-20
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