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  • 1. Holistic response management of business surveys Archived
    Articles and reports: 11-522-X20050019440
    Description:

    For a number of years, Statistics Canada has been taking incremental steps to improve its survey programs through the use of tax data substitution, content fine tuning and earlier data releases. The approach is to focus survey collection and analysis on the large, complex enterprises where tax data is insufficient to meet the needs of the Canadian statistical system.

    Release date: 2007-03-02
  • 2. Australian Bureau of Statistics (ABS) recent innovation in collecting business statistics Archived
    Articles and reports: 11-522-X20050019442
    Description:

    In 2002, the Australian Bureau of Statistics (ABS) underwent a major change in the way in which it collects and compiles its business statistics.This initiative (known as Business Statistics Innovation Program or BSIP) aims through the use of innovative technological, methodological, organisational and operational initiatives, to re-engineer the ABS's business statistics processes, so as to improve the quality and relevance of ABS business statistics in a manner that is most efficient for both the ABS and its providers.

    Release date: 2007-03-02
  • 3. Redesigning the UK's business register and business surveys to enable production of better economic statistics Archived
    Articles and reports: 11-522-X20050019453
    Description:

    The UK's Office for National Statistics (ONS) is starting a development programme for business surveys to meet the recommendations of a recent government report calling for improvements to economic statistics, in particular regional economic statistics.

    Release date: 2007-03-02
  • 4. The redesign of Statistics Canada's business register Archived
    Articles and reports: 11-522-X20050019454
    Geography: Canada
    Description:

    The goal of the BR Redesign Project is to simplify, optimize, and harmonize its processes and methods. This paper provides an overview of the BR Redesign with emphasis on the issues that affect the methodology of business surveys.

    Release date: 2007-03-02
  • 5. Quality indicators when combining survey data and administrative data Archived
    Articles and reports: 11-522-X20050019494
    Description:

    Traditionally, data quality indicators reported by surveys have been the sampling variance, coverage error, non-response rate and imputation rate. To obtain an imputation rate when combining survey data and administrative data, one of the problems is to compute the imputation rate itself. The presentation will discuss how to solve this problem. First, we will discuss the desired properties when developing a rate in a general context. Second, we will develop some concepts and definitions that will help us to develop combine rates. Third, we will propose different combined rates for the case of imputation. We will then present three different combined rates, and we will discuss properties for each rate. We will end with some illustrative examples.

    Release date: 2007-03-02
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  • 1. Holistic response management of business surveys Archived
    Articles and reports: 11-522-X20050019440
    Description:

    For a number of years, Statistics Canada has been taking incremental steps to improve its survey programs through the use of tax data substitution, content fine tuning and earlier data releases. The approach is to focus survey collection and analysis on the large, complex enterprises where tax data is insufficient to meet the needs of the Canadian statistical system.

    Release date: 2007-03-02
  • 2. Australian Bureau of Statistics (ABS) recent innovation in collecting business statistics Archived
    Articles and reports: 11-522-X20050019442
    Description:

    In 2002, the Australian Bureau of Statistics (ABS) underwent a major change in the way in which it collects and compiles its business statistics.This initiative (known as Business Statistics Innovation Program or BSIP) aims through the use of innovative technological, methodological, organisational and operational initiatives, to re-engineer the ABS's business statistics processes, so as to improve the quality and relevance of ABS business statistics in a manner that is most efficient for both the ABS and its providers.

    Release date: 2007-03-02
  • 3. Redesigning the UK's business register and business surveys to enable production of better economic statistics Archived
    Articles and reports: 11-522-X20050019453
    Description:

    The UK's Office for National Statistics (ONS) is starting a development programme for business surveys to meet the recommendations of a recent government report calling for improvements to economic statistics, in particular regional economic statistics.

    Release date: 2007-03-02
  • 4. The redesign of Statistics Canada's business register Archived
    Articles and reports: 11-522-X20050019454
    Geography: Canada
    Description:

    The goal of the BR Redesign Project is to simplify, optimize, and harmonize its processes and methods. This paper provides an overview of the BR Redesign with emphasis on the issues that affect the methodology of business surveys.

    Release date: 2007-03-02
  • 5. Quality indicators when combining survey data and administrative data Archived
    Articles and reports: 11-522-X20050019494
    Description:

    Traditionally, data quality indicators reported by surveys have been the sampling variance, coverage error, non-response rate and imputation rate. To obtain an imputation rate when combining survey data and administrative data, one of the problems is to compute the imputation rate itself. The presentation will discuss how to solve this problem. First, we will discuss the desired properties when developing a rate in a general context. Second, we will develop some concepts and definitions that will help us to develop combine rates. Third, we will propose different combined rates for the case of imputation. We will then present three different combined rates, and we will discuss properties for each rate. We will end with some illustrative examples.

    Release date: 2007-03-02
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