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- 1. The growing importance of the service industries: The need for sub-annual indicators (IV-B) ArchivedArticles and reports: 11F0024M20050008805Description:
This paper reports on the potential development of sub-annual indicators for selected service industries using Goods and Services Tax (GST) data. The services sector is now of central importance to advanced economies; however, our knowledge of this sector remains incomplete, partly due to a lack of data. The Voorburg Group on Service Statistics has been meeting for almost twenty years to develop and incorporate better measures for the services sector. Despite this effort, many sub-annual economic measures continue to rely on output data for the goods-producing sector and, with the exception of distributive trades, on employment data for service industries.
The development of sub-annual indicators for service industries raises two questions regarding the national statistical program. First, is there a need for service output indicators to supplement existing sub-annual measures? And second, what service industries are the most promising for development? The paper begins by reviewing the importance of service industries and how they behave during economic downturns. Next, it examines considerations in determining which service industries to select as GST-based, sub-annual indicators. A case study of the accommodation services industry serves to illustrate improving timeliness and accuracy. We conclude by discussing the opportunities for, and limitations of, these indicators.
Release date: 2005-10-20 - 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation ArchivedArticles and reports: 12-001-X20010015855Description:
The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.
Release date: 2001-08-22 - Articles and reports: 62F0014M1998012Geography: CanadaDescription:
This paper examines the methods of adjustment for quality change made in the Canadian Consumer Price Index for the period 1989 to 1994. It finds that in most cases the current Canadian practice ensures that the replacement of one commodity by another, one variety of a commodity by another, or one outlet by another, has no impact on the overall index. The main exceptions to this result occur when replacing varieties of commodities that are purchased only occasionally, and a judgement is made that the quality ratio between the old and new variety is not the same as the ratio of their prices. In these cases there is an impact on the index, up or down, depending on whether the change in price reported is higher or lower than the change in quality. From the experience of the CPI in these six years there has been a correlation between the price ratio of a variety and its replacement and the index movement that derives from the judgement. The direction and size of the impact on the index depends largely on whether an item is replaced with a higher or lower priced item. For these reasons, the paper argues that more attention should be paid to ensuring that the item selection is more representative of current sales than has traditionally been the case.
Release date: 1999-05-13
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- 1. The growing importance of the service industries: The need for sub-annual indicators (IV-B) ArchivedArticles and reports: 11F0024M20050008805Description:
This paper reports on the potential development of sub-annual indicators for selected service industries using Goods and Services Tax (GST) data. The services sector is now of central importance to advanced economies; however, our knowledge of this sector remains incomplete, partly due to a lack of data. The Voorburg Group on Service Statistics has been meeting for almost twenty years to develop and incorporate better measures for the services sector. Despite this effort, many sub-annual economic measures continue to rely on output data for the goods-producing sector and, with the exception of distributive trades, on employment data for service industries.
The development of sub-annual indicators for service industries raises two questions regarding the national statistical program. First, is there a need for service output indicators to supplement existing sub-annual measures? And second, what service industries are the most promising for development? The paper begins by reviewing the importance of service industries and how they behave during economic downturns. Next, it examines considerations in determining which service industries to select as GST-based, sub-annual indicators. A case study of the accommodation services industry serves to illustrate improving timeliness and accuracy. We conclude by discussing the opportunities for, and limitations of, these indicators.
Release date: 2005-10-20 - 2. Regression composite estimation for the Canadian Labour Force Survey: Evaluation and implementation ArchivedArticles and reports: 12-001-X20010015855Description:
The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.
Release date: 2001-08-22 - Articles and reports: 62F0014M1998012Geography: CanadaDescription:
This paper examines the methods of adjustment for quality change made in the Canadian Consumer Price Index for the period 1989 to 1994. It finds that in most cases the current Canadian practice ensures that the replacement of one commodity by another, one variety of a commodity by another, or one outlet by another, has no impact on the overall index. The main exceptions to this result occur when replacing varieties of commodities that are purchased only occasionally, and a judgement is made that the quality ratio between the old and new variety is not the same as the ratio of their prices. In these cases there is an impact on the index, up or down, depending on whether the change in price reported is higher or lower than the change in quality. From the experience of the CPI in these six years there has been a correlation between the price ratio of a variety and its replacement and the index movement that derives from the judgement. The direction and size of the impact on the index depends largely on whether an item is replaced with a higher or lower priced item. For these reasons, the paper argues that more attention should be paid to ensuring that the item selection is more representative of current sales than has traditionally been the case.
Release date: 1999-05-13
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