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All (331)

All (331) (0 to 10 of 331 results)

1. Commercial rents services price index, monthly
Table: 18-10-0255-01
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Monthly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

Release date: 2024-06-03
2. Commercial rents services price index, percentage change, monthly
Table: 18-10-0255-02
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Monthly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2019=100).

Release date: 2024-06-03
3. Commercial rents services price index, quarterly
Table: 18-10-0260-01
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Quarterly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Quarterly data are available from the first quarter of 2006 for the total index and from the first quarter of 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

Release date: 2024-06-03
4. Commercial rents services price index, percentage change, quarterly
Table: 18-10-0260-02
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Quarterly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from the second quarter of 2007 for the total index and from the second quarter of 2019 for all other indexes. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2019=100).

Release date: 2024-06-03
5. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
Table: 10-10-0143-01
Geography: Canada
Frequency: Weekly
Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).
Release date: 2024-05-31
6. Gross national income and gross domestic income, indexes and related statistics, quarterly
Table: 36-10-0105-01
Geography: Canada
Frequency: Quarterly
Description: Quarterly indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.
Release date: 2024-05-31
7. Gross domestic product price indexes, quarterly
Table: 36-10-0106-01
Geography: Canada
Frequency: Quarterly
Description: Quarterly fixed-weighted price and implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, Canada, 2017 = 100.
Release date: 2024-05-31
8. Gross national income and gross domestic income, indexes and related statistics, annual
Table: 36-10-0129-01
Geography: Canada
Frequency: Annual
Description: Annual indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.
Release date: 2024-05-31
9. Gross domestic product price indexes, annual (2017=100)
Table: 36-10-0130-01
Geography: Canada
Frequency: Annual
Description: Annual implicit and fixed-weighted price indexes for expenditure-based gross domestic product components, 2017 = 100.
Release date: 2024-05-31
10. Freight Rail Services Price Index, monthly
Table: 18-10-0212-01
Geography: Canada
Frequency: Monthly
Description:
Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.
Release date: 2024-05-31

Data (272)

Data (272) (0 to 10 of 272 results)

1. Commercial rents services price index, monthly
Table: 18-10-0255-01
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Monthly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

Release date: 2024-06-03
2. Commercial rents services price index, percentage change, monthly
Table: 18-10-0255-02
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Monthly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2006 for the total index and from January 2019 for all other indexes. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2019=100).

Release date: 2024-06-03
3. Commercial rents services price index, quarterly
Table: 18-10-0260-01
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Quarterly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Quarterly data are available from the first quarter of 2006 for the total index and from the first quarter of 2019 for all other indexes. The table presents data for the most recent reference period and the last five periods. The base period for the index is (2019=100).

Release date: 2024-06-03
4. Commercial rents services price index, percentage change, quarterly
Table: 18-10-0260-02
Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
Frequency: Quarterly
Description:
Commercial rents services price index (CRSPI) by North American Industry Classification System (NAICS). Monthly data are available from the second quarter of 2007 for the total index and from the second quarter of 2019 for all other indexes. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2019=100).

Release date: 2024-06-03
5. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
Table: 10-10-0143-01
Geography: Canada
Frequency: Weekly
Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).
Release date: 2024-05-31
6. Gross national income and gross domestic income, indexes and related statistics, quarterly
Table: 36-10-0105-01
Geography: Canada
Frequency: Quarterly
Description: Quarterly indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.
Release date: 2024-05-31
7. Gross domestic product price indexes, quarterly
Table: 36-10-0106-01
Geography: Canada
Frequency: Quarterly
Description: Quarterly fixed-weighted price and implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, Canada, 2017 = 100.
Release date: 2024-05-31
8. Gross national income and gross domestic income, indexes and related statistics, annual
Table: 36-10-0129-01
Geography: Canada
Frequency: Annual
Description: Annual indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.
Release date: 2024-05-31
9. Gross domestic product price indexes, annual (2017=100)
Table: 36-10-0130-01
Geography: Canada
Frequency: Annual
Description: Annual implicit and fixed-weighted price indexes for expenditure-based gross domestic product components, 2017 = 100.
Release date: 2024-05-31
10. Freight Rail Services Price Index, monthly
Table: 18-10-0212-01
Geography: Canada
Frequency: Monthly
Description:
Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.
Release date: 2024-05-31

Analysis (59)

Analysis (59) (40 to 50 of 59 results)

41. Housing Depreciation in the Canadian CPI Archived
Articles and reports: 62F0014M2001015
Geography: Canada
Description:
The Canadian Consumer Price Index (CPI) applies a version of the user cost approach to measure the cost of home ownership. Because this approach specifically estimates the costs of using owned accommodation and not those faced by tenants, the measure includes a "replacement cost" (or depreciation) component. Depreciation is the only component in the CPI that is not an out-of-pocket expense. Consequently, economists face a unique set of methodological challenges when measuring depreciation.
Between 1949 and 1997, the annual housing depreciation rate used in the CPI was 2%. Statistics Canada adopted the rate from a study that analysed U.S. Federal Housing Administration field appraisal data from 1939.
This study argues that there is evidence that the 2% depreciation rate is too high to continue to use in the future. Consider that: 1) other Canadian studies show an upper bound of 1.7%, with a median estimate of 1.5%; 2) other statistical agencies use lower rates; and 3) every academic study over the past 40 years has arrived at a lower rate. As a consequence of this study and the existing supporting evidence, the depreciation rate in the Canadian CPI was lowered to 1.5% effective January 1998.
Release date: 2001-11-28
42. Televisions: Quality Changes and Scanner Data Archived
Articles and reports: 62F0014M2001014
Geography: Canada
Description:
This paper is the first in a series of reports examining the possible use of scanner data for constructing price indexes. This case study focuses on televisions and compares their price behaviour taken from current surveying methods with alternative measures obtained from massaging electronic data records on all sales by a retailer over a comparable period. Examination of the price index history for televisions shows that the recognition and adjustment for quality change in the sample and the impact of shifts in purchasing patterns have similar impact on the index numbers. The advantages of scanner data - that they record actual sales and current purchasing patterns - have to be set against the difficulty of recognising quality change. This analysis shows that while there are substantial gains from using scanner data in monitoring and adjusting for purchasing pattern changes, it is difficult to account for quality changes without micro-editing the data. The scanner data set raises statistical issues, largely questions of what aggregation across time, outlets and products should be done, that have to be answered before using it in index estimation. Future analysis will be aimed at resolving these issues.
Release date: 2001-06-01
43. Core Inflation: A Weighted Median Index Archived
Articles and reports: 62F0014M1998007
Geography: Canada
Description:
Over the years, the concept of core inflation has become of crucial importance for the central banks of various countries. Indeed, many of them have at some point given themselves the mandate to reduce inflation and achieve price stability. The Bank of Canada undertook this mandate in February 1991.
Core inflation should reflect what is basic in price movements and ignore temporary fluctuations that have no long-term impact on prices. The phenomenon of core inflation must be of a lasting nature. The targets were initially set on the basis of the overall consumer price index (CPI). However, the Bank of Canada has stated that for practical reasons, it will focus on the consumer price index excluding the volatile food and energy components.
The question that many are asking is the following: is a measure such as the CPI excluding food and energy a good indicator of core inflation? At the meeting of the 1996 Price Measurement Advisory Committee, a review of the literature on core inflation was presented. The Committee recommended taking a closer look at a weighted median index as a means of estimating core inflation. This study deals with the question of a weighted median index and covers the period of January 1985 to January 1997. The rates of change in the weighted median index calculated from monthly movements are quite often lower than the rates of change in the official index. This behaviour reflects the usual distribution of monthly price movements for the CPI, meaning a large proportion of the monthly movements are close to zero, and the remaining price movements are, in majority, positive. Because of this behaviour of monthly movements, the weighted median index advances much more slowly than the official index. This behaviour is just as evident when inflation advances at annual rates of 4% to 5% as when it ranges around 2%. An index based on the weighted median of monthly movements in the CPI yields somewhat disconcerting results. Even though some think that the official CPI does not clearly reflect the concept of core inflation, one does not necessarily expect to see such a large gap develop over time.
Release date: 1999-10-05
44. Service Inflation: Why Is It Higher? Archived
Articles and reports: 62F0014M1997005
Geography: Canada
Description:
Since 1961, the service component of the Canadian Consumer Price Index (CPI) has generally shown a higher rate of increase than the goods component. Furthermore, when some of the more volatile components of the CPI are removed the spread widens. For instance, during the same period core goods inflation (excluding food and energy) increased at an annual rate of 4.3% compared to 6.1% per cent for services (excluding shelter). The literature on service sector inflation suggests five explanations for this phenomenon. Although all these sources of the inflation differential are interesting and important in their own right, this paper will examine two. Some believe that service inflation is a statistical artifact stemming from the inherent difficulties in measuring the output of services and hence their price changes. This issue will be examined first. Indeed the measurement problem appears more serious for services; however it cannot be held completely responsible for the inflationary gap. William Baumol (1967) originally suggested the other cause for higher service inflation whereby unbalanced sectorial growth would be the cause of the divergent inflation rates. This explanation will be the focus of the second part of the paper. In spite of the attractiveness of Baumol's model, empirical evidence rejects the hypothesis.
Release date: 1999-05-13
45. An Application of the Hedonic Approach to Clothing Items in the Consumer Price Index (CPI) Archived
Articles and reports: 62F0014M1997009
Geography: Canada
Description:
A research program was recently initiated by Prices Division to explore the feasibility of using the hedonic approach for making quality adjustments in the Consumer Price Index (CPI) for clothing items. The current paper is the first of a series, which attempts to derive hedonic quality adjustments for Men's Dress Shirts. A database for quality characteristics is first constructed, from which two experimental hedonic models are estimated. One of these models is then used to produce hedonic quality adjustments for all shirt substitutions that have occurred subsequent to May 1995 up to June 1996. These values are then compared with the actual quality adjustments used in the official CPI. Although results are preliminary, three important conclusions can be made. First, quality adjustments derived using the hedonic versus the traditional approach are very different, at least at the level of individual substitutions. Which of the two approaches is more accurate, however, is not evident at this premature stage. Second, the integrity of the data on quality characteristics will have to improve greatly if the hedonic approach is ever to be considered as a viable alternative. Finally, improving the source data on quality characteristics would be of value whether or not the hedonic approach is adopted for making quality adjustments. One of the ways this could be done would be to adopt the checklist approach, which is the current procedure in the United States and in Sweden.
Release date: 1999-05-13
46. Potential Uses of Scanner Data - A Case Study Using Coffee Data Archived
Articles and reports: 62F0014M1998006
Geography: Canada
Description:
Statistical agencies such as Statistics Canada are investigating the use of scanner data for their own purposes. Interest has grown in the potential uses of this data to improve the quality of price indexes. This paper reports on initial research done in Prices Division. The paper looks at scanner data and the feasibility of its use to produce CPI estimates; evaluates current CPI methodology and procedures; and the impact that use of scanner data would have on the CPI commodity indexes. The main focus of the study, however, is to explore the impact that scanner data would have on the CPI basic commodity indexes covered by scannable items. Since the CPI criterion relates to a limited selection of scanner data, an examination will be made of the impact of gradually relaxing the criteria to include more products and outlets from the scanner data. The initial subset was derived by applying the CPI criteria of volume selling brands and outlets. Each of these changes in criteria yielded a different subset of scanner data. Calculations were performed using these various subsets of scanner data and their results compared to the CPI. An analysis of the results will be used in determining the strengths and limitations of CPI data, detect any deficiencies and provide information for revision of pricing selection.
Release date: 1999-05-13
47. An Application of the Hedonic Approach to Clothing Items in the Consumer Price Index (CPI): A Pilot Study Using Checklists Archived
Articles and reports: 62F0014M1998011
Geography: Canada
Description:
This paper is the second in a series reporting on the current progress of a study whose purpose is to explore the feasibility of using the hedonic approach for making quality adjustments to the Clothing component of the Consumer Price Index (CPI). In this phase of the study, two preliminary checklists were developed for obtaining prices and quality characteristics for Men's Dress Shirts and Men's Sports Jackets. These checklists were then used for data collection in the field on expanded CPI samples for the two items. To date, the resulting database for Men's Dress Shirts has been used to derive a hedonic model. The main conclusions that can be made at this point are: 1) checklists represent a certain improvement over the current method of reporting and should be developed for all clothing items in the CPI; 2) if the hedonic approach to quality adjustment in clothing is to be formally adopted then the CPI samples will have to be augmented, at least periodically to permit estimation; and 3) more experience is needed with the hedonic approach in research mode, using clothing items with more complexity, before we can say whether the hedonic approach should be formally adopted as an alternative to our current method of quality adjustment for clothing items.
Release date: 1999-05-13
48. Item Selection and Quality Change in the Canadian Consumer Price Index Archived
Articles and reports: 62F0014M1998012
Geography: Canada
Description:
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
49. Comparative Study of Analytical Consumer Price Indexes for Different Subgroups of the Reference Population Archived
Articles and reports: 62F0014M1998013
Geography: Canada
Description:
The reference population for the Consumer Price Index (CPI) has been represented, since the 1992 updating of the basket of goods and services, by families and unattached individuals living in private urban or rural households. The official CPI is a measure of the average percentage change over time in the cost of a fixed basket of goods and services purchased by Canadian consumers.
Because of the broadly defined target population of the CPI, the measure has been criticised for failing to reflect the inflationary experiences of certain socio-economic groups. This study examines this question for three sub-groups of the reference population of the CPI. It is an extension of earlier studies on the subject done at Statistics Canada.
In this document, analytical consumer price indexes sub-group indexes are compared to the analytical index for the whole population calculated at the national geographic level.
The findings tend to point to those of earlier Statistics Canada studies on sub-groups in the CPI reference population. Those studies have consistently concluded that a consumer price index established for a given sub-group does not differ substantially from the index for the whole reference population.
Release date: 1999-05-13
50. Fresh fruit and vegetable supplies are seasonal and so are the prices Archived
Articles and reports: 21-004-X19990034498
Geography: Canada
Description:
Canadian farmers are successfully meeting the demand for fresh fruit and vegetables during the local growing season. Due to the short duration of the growing season however, imports are required to fill the shelves for a significant part of the year. Although overall prices for fresh produce are trending downwards, these imports cost more in the grocery stores and fresh markets than domestic produce.
Release date: 1999-03-17

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Date modified:: 2024-06-05