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All (26)
All (26) (20 to 30 of 26 results)
- 21. Service Inflation: Why Is It Higher? ArchivedArticles and reports: 62F0014M1997005Geography: CanadaDescription:
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 - 22. The Impact on the CPI of Not Surveying House Prices in Rural Regions: A Sensitivity Analysis ArchivedArticles and reports: 62F0014M1997008Geography: Province or territoryDescription:
In light of a recent change in population coverage, this study was initiated to determine whether the integrity of the Consumer Price Index (CPI) should be questioned on the grounds that it does not explicitly take into account rural house price movements. An attempt is made here to quantify the potential impact, using various regimes of artificial data to represent house price movements for rural regions. The regimes were manufactured in a way that allowed the analysis of differences between urban and rural regions in terms of the evolution of house prices, as well as differences in their cumulative price index levels. Three provinces were considered: Newfoundland, Saskatchewan, and British Columbia, all of which have large rural populations. The study results were monthly indexes for the time period, January 1986 to December 1994. The general conclusion was that house prices in rural regions would have to move very differently from those in urban regions to affect the overall level of the CPI. However, in the case of lower-level aggregates the failure to include rural house prices could be having an important effect. In addition, even when cumulative house price movements for rural and urban regions are similar, differences in their evolution tend to have an effect on the trend of the CPI, especially in the case of lower-level aggregates. While it is tempting to conclude that the current CPI methodology is robust enough to apply to the expanded population, this would be based purely on conjecture about the nature of movements in rural house prices. Hence, a second phase of this study will be initiated, whose purpose will be to develop a methodology to construct price indexes for rural regions.
Release date: 1999-05-13 - 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 - 24. Comparative Study of Analytical Consumer Price Indexes for Different Subgroups of the Reference Population ArchivedArticles and reports: 62F0014M1998013Geography: CanadaDescription:
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 - Articles and reports: 11F0019M1998119Geography: CanadaDescription:
This study examines differences in technology use in Canada as opposed to the United States as well as reasons for these differences. It examines different aspects of technology use-numbers of technologies used, types of technologies used, as well as regional, size and industry variations in their use. It then investigates differences in benefits that plant managers perceive stem from advanced technology use and differences in the factors that managers assess as impediments. While managers in both countries generally place quite similar emphases on items in the list of benefits received and problems that have impeded adoption, there are significant differences that arise because of the smaller size of the Canadian market.
Release date: 1999-04-07 - Table: 71-539-XDescription:
This publication about worker turnover in the Canadian economy provides comprehensive data for the first time on job separations and hiring, with emphasis on permanent separations, temporary separations, quits and layoffs.
Release date: 1998-06-25
Data (8)
Data (8) ((8 results))
- Public use microdata: 62M0004XDescription:
The Public-Use Microdata File (PUMF) for the Survey of Household Spending (SHS) provides information on household expenditures as well as selected information on dwelling characteristics and household equipment. The production of this file includes many safeguards to prevent the identification of any one person or household.
PUMFs were produced on an annual basis for SHS 1997 to 2009, before a redesigned survey was introduced with the 2010 reference year. The SHS 2017 PUMF is the first SHS PUMF based on data collected after the 2010 survey redesign.
Due to changes to data collection, processing and estimation methods introduced with the 2010 redesign, users are advised not to compare data from SHS 1997 to 2009 with data from any subsequent years, unless otherwise noted.
Release date: 2022-07-22 - Table: 61-219-XDescription:
This publication contains annual aggregate data of Canadian enterprises classified by 67 industry groups. The industry breakdowns are based on the North American Industry Classification System (NAICS Canada 2012). The data include: asset, liability and equity items encompassed in a balance sheet, revenue and expense items as reported on an income statement, a reconciliation of net profit to taxable income and taxes payable, along with several common financial performance ratios.
Release date: 2016-03-17 - 3. Wholesaling and Retailing in Canada ArchivedTable: 63-236-XDescription:
This publication presents data on revenue and expense items from wholesalers and retailers by trade group and by province. There are 16 retail trade groups and 11 wholesale trade groups. Profiles of the retail trade groups are provided for each individual province/territory and are comprised of: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. At the national level for each retail trade group are the following performance indicators: sales to inventory, cost of goods sold to inventory, gross margin and profit margin. Also provided at the national level are total operating revenues, number of locations for independent and for chain stores, the number of retail businesses by trade and total operating revenue by SIC (4 digit when possible).
The 11 wholesale trade groups, plus grain and petroleum products, are profiled for each individual province/territory giving: number of locations, total operating revenues, cost of goods sold, gross margin and employee earnings and benefits. Performance indicators by trade group at the national level including sales to inventory, cost of goods sold to inventory, gross margin and profit margin are provided. Total operating revenue at the national level by Standard Industrial Classification and by class of customer and trade group are also provided.
Release date: 2001-02-05 - 4. Furniture and Fixture Industries ArchivedTable: 35-251-XDescription:
Data on furniture and fixture industries clearly show the tremendous expansion period affecting these industries. Several establishments have taken advantage of the favourable economic conditions and the openness of North American markets to increase their deliveries to the United States. Foreign markets have been the driving force behind the furniture and fixture industries' growth in the past decade, since large establishments generally have more resources to break into these markets.
Release date: 2000-09-01 - 5. Cable Television ArchivedTable: 56-205-XDescription:
This online publication presents detailed annual financial and operating statistics on the Canadian cable television industry. Operational data are published on subscribers, households passed by cable, kilometres of cable, channel capacity and program hours. Financial statistics include detailed revenue and expense accounts, balance sheet and statement of retained earnings. The preamble to the publication consists of statistical highlights, a written analysis and text tables which display a financial and operating summary of the cable television industry. Also included is a glossary of terms for the industry.
Release date: 2000-06-21 - Table: 31-212-XDescription:
This publication shows expenditures, by industry, for the various types of packaging materials.
Release date: 2000-03-03 - 7. Consumer Prices and Price Indexes ArchivedTable: 62-010-XDescription:
The publication highlights current and historical statistics on consumer prices and related price indexes. A comparative index contains retail price differentials for 11 major cities by selected groups of consumer goods and services.
Release date: 1999-08-03 - Table: 71-539-XDescription:
This publication about worker turnover in the Canadian economy provides comprehensive data for the first time on job separations and hiring, with emphasis on permanent separations, temporary separations, quits and layoffs.
Release date: 1998-06-25
Analysis (12)
Analysis (12) (0 to 10 of 12 results)
- 1. Wholesale Trade: The Year 2008 in Review ArchivedArticles and reports: 11-621-M2009079Geography: Canada, Province or territoryDescription:
The study reviews the performance of the wholesale trade sector nationally and provincially in 2008, along with the key factors affecting this sector outcome. The study also examines infra-annual trends in this sector.
Release date: 2009-05-05 - 2. Wholesale Trade: The Year 2007 in Review ArchivedArticles and reports: 11-621-M2008072Geography: Canada, Province or territoryDescription:
Using data from the monthly Wholesale Trade Survey this study examines the sales for the year 2007. This annual review describes the evolution of sales by different sectors such as machinery and electronic equipment, personal and household goods and automotive products. This study also includes a provincial dimension.
Release date: 2008-05-29 - Articles and reports: 11-621-M2005032Geography: CanadaDescription:
This study provides an in-depth analysis of retail trade growth nationally and provincially, and explores the underlying socio-economic-demographic forces since the turn of the millennium. The automotive retail sector is given a closer look because of its ability to dictate retail sales growth during the period. This study uses data from a fleet of Statistics Canada surveys, including Monthly Retail Trade Survey, Provincial Economic Accounts, New Motor Vehicle Sales, Canadian Vehicle Survey, Motor Vehicle Registration, and 2002 Homeowner Repairs and Renovations Survey.
Release date: 2005-10-17 - Articles and reports: 11-621-M2004012Geography: CanadaDescription:
This article examines retail sales and household expenditures data from 1997 to 2002 to show the impact of homebuyers on furniture and appliance spending.
Release date: 2004-05-13 - 5. Productivity Growth in Canada ArchivedJournals and periodicals: 15-204-XDescription:
Productivity growth in Canada (PGC), is the reference publication on productivity in Canada. The objective of this publication is twofold: a) to illustrate the importance of productivity trends on the changes in living standards in Canada and, b) to measure the productivity performance of the Canadian economy in comparison with the United States, in particular. PGC includes articles on productivity and related issues and serves as a vehicle to understanding the sources underlying economic growth in Canada.
Release date: 2003-02-14 - 6. Net shopping ArchivedArticles and reports: 11-008-X20000045557Geography: CanadaDescription:
This article looks at Internet shopping (purchases and window-shopping) done by Canadian households accessing the Internet from home.
Release date: 2001-03-12 - 7. Exports, GDP and jobs ArchivedArticles and reports: 75-001-X19990044757Geography: CanadaDescription:
The recent increase in exports' share of GDP has been exceptional. Imports have mirrored the trend in exports, with trade across the U.S. border being the driving force for both. Using Statistics Canada's Input-Output tables, this article explores the issue of some goods moving back and forth across the border at various stages of processing. (Adapted from an article in Canadian Economic Observer published in November 1999).
Release date: 1999-12-01 - 8. Service Inflation: Why Is It Higher? ArchivedArticles and reports: 62F0014M1997005Geography: CanadaDescription:
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 - 9. The Impact on the CPI of Not Surveying House Prices in Rural Regions: A Sensitivity Analysis ArchivedArticles and reports: 62F0014M1997008Geography: Province or territoryDescription:
In light of a recent change in population coverage, this study was initiated to determine whether the integrity of the Consumer Price Index (CPI) should be questioned on the grounds that it does not explicitly take into account rural house price movements. An attempt is made here to quantify the potential impact, using various regimes of artificial data to represent house price movements for rural regions. The regimes were manufactured in a way that allowed the analysis of differences between urban and rural regions in terms of the evolution of house prices, as well as differences in their cumulative price index levels. Three provinces were considered: Newfoundland, Saskatchewan, and British Columbia, all of which have large rural populations. The study results were monthly indexes for the time period, January 1986 to December 1994. The general conclusion was that house prices in rural regions would have to move very differently from those in urban regions to affect the overall level of the CPI. However, in the case of lower-level aggregates the failure to include rural house prices could be having an important effect. In addition, even when cumulative house price movements for rural and urban regions are similar, differences in their evolution tend to have an effect on the trend of the CPI, especially in the case of lower-level aggregates. While it is tempting to conclude that the current CPI methodology is robust enough to apply to the expanded population, this would be based purely on conjecture about the nature of movements in rural house prices. Hence, a second phase of this study will be initiated, whose purpose will be to develop a methodology to construct price indexes for rural regions.
Release date: 1999-05-13 - 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
Reference (5)
Reference (5) ((5 results))
- Surveys and statistical programs – Documentation: 62F0026M2004002Description:
This report reviews the concepts measured and estimates produced by the Survey of Household Spending (SHS), previously called the Family Expenditure Survey (FAMEX), and the Homeowner Repair and Renovation Survey (HRRS).
Release date: 2004-11-30 - 2. Useful Information for Construction ArchivedSurveys and statistical programs – Documentation: 64F0004XDescription:
This practical and informative guide for the construction industry will assist in navigating through numerous Statistics Canada products and services.
Release date: 2002-12-13 - Surveys and statistical programs – Documentation: 62F0026M2002002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2002-12-11 - Surveys and statistical programs – Documentation: 62F0026M2002001Description:
This report describes the quality indicators produced for the 2000 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, non-response rates, slippage rates and imputation rates.
Release date: 2002-06-28 - Surveys and statistical programs – Documentation: 31-532-GDescription:
This practical and informative guide for manufacturers and exporters will assist in navigating through numerous Statistics Canada products and services. In addition, some recent articles and research papers have been highlighted.
Release date: 2000-07-26
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