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  • Articles and reports: 12-001-X201800154927
    Description:

    Benchmarking monthly or quarterly series to annual data is a common practice in many National Statistical Institutes. The benchmarking problem arises when time series data for the same target variable are measured at different frequencies and there is a need to remove discrepancies between the sums of the sub-annual values and their annual benchmarks. Several benchmarking methods are available in the literature. The Growth Rates Preservation (GRP) benchmarking procedure is often considered the best method. It is often claimed that this procedure is grounded on an ideal movement preservation principle. However, we show that there are important drawbacks to GRP, relevant for practical applications, that are unknown in the literature. Alternative benchmarking models will be considered that do not suffer from some of GRP’s side effects.

    Release date: 2018-06-21

  • Articles and reports: 12-001-X201400214097
    Description:

    When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.

    Release date: 2014-12-19

  • Surveys and statistical programs – Documentation: 11-010-X201100611501
    Description:

    A detailed exposition of how the pattern of quarterly growth affects the average annual growth rate, including the relative importance of these quarters in determining growth These basic principles are applied to monthly and quarterly growth.

    Release date: 2011-06-16

  • Stats in brief: 13-604-M2005047
    Description:

    This paper discusses the revision policy of Canada's National Tourism Indicators (NTI) and summarizes results from some recent studies of data revisions to the NTI. The discussion is timely, as the adoption of explicit data revision policies has been emphasized recently as an essential element in the good governance of statistical systems.

    The paper starts with a brief description of the NTI, their underlying conceptual framework, and their sources and methods. Next comes a discussion of the need for data revisions, and an outline of various types of revisions. Then a few sections are devoted to the new NTI revision policy adopted with the first quarter 2004 estimates, and the associated costs and benefits. Revision studies, which have been used to assess quality of national accounts estimates, and the database established to track data revisions to the NTI are described next. Last, results from some recent NTI data revision exercises and studies are summarized.

    Release date: 2005-01-28
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  • Articles and reports: 12-001-X201800154927
    Description:

    Benchmarking monthly or quarterly series to annual data is a common practice in many National Statistical Institutes. The benchmarking problem arises when time series data for the same target variable are measured at different frequencies and there is a need to remove discrepancies between the sums of the sub-annual values and their annual benchmarks. Several benchmarking methods are available in the literature. The Growth Rates Preservation (GRP) benchmarking procedure is often considered the best method. It is often claimed that this procedure is grounded on an ideal movement preservation principle. However, we show that there are important drawbacks to GRP, relevant for practical applications, that are unknown in the literature. Alternative benchmarking models will be considered that do not suffer from some of GRP’s side effects.

    Release date: 2018-06-21

  • Articles and reports: 12-001-X201400214097
    Description:

    When monthly business surveys are not completely overlapping, there are two different estimators for the monthly growth rate of the turnover: (i) one that is based on the monthly estimated population totals and (ii) one that is purely based on enterprises observed on both occasions in the overlap of the corresponding surveys. The resulting estimates and variances might be quite different. This paper proposes an optimal composite estimator for the growth rate as well as the population totals.

    Release date: 2014-12-19

  • Stats in brief: 13-604-M2005047
    Description:

    This paper discusses the revision policy of Canada's National Tourism Indicators (NTI) and summarizes results from some recent studies of data revisions to the NTI. The discussion is timely, as the adoption of explicit data revision policies has been emphasized recently as an essential element in the good governance of statistical systems.

    The paper starts with a brief description of the NTI, their underlying conceptual framework, and their sources and methods. Next comes a discussion of the need for data revisions, and an outline of various types of revisions. Then a few sections are devoted to the new NTI revision policy adopted with the first quarter 2004 estimates, and the associated costs and benefits. Revision studies, which have been used to assess quality of national accounts estimates, and the database established to track data revisions to the NTI are described next. Last, results from some recent NTI data revision exercises and studies are summarized.

    Release date: 2005-01-28
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 11-010-X201100611501
    Description:

    A detailed exposition of how the pattern of quarterly growth affects the average annual growth rate, including the relative importance of these quarters in determining growth These basic principles are applied to monthly and quarterly growth.

    Release date: 2011-06-16
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