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All (13)
All (13) (0 to 10 of 13 results)
- Articles and reports: 62F0014M2023008Description: An interactive timeline of the modernization of the CPI and related programs with dates, links, and summary of key developments.Release date: 2024-02-20
- Articles and reports: 62F0014M2022009Description:
This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2022 basket update, based on 2021 expenditure weights.
Release date: 2022-06-15 - Articles and reports: 11-621-M2021001Description:
Despite COVID-19's impact on the broader economy, the Canadian housing market remained resilient through 2020 as interest rates fell to historic lows. Using data derived from the National Economic Accounts Division and the Bank of Canada, this paper examines trends observed in the mortgage market leading up to and during the COVID-19 pandemic.
Release date: 2021-02-17 - Articles and reports: 62F0014M2020017Description:
This article presents the data sources and methodology for Lending Services Price Index (LSPI), to accompany the first release of this price index. The LSPI measures the monthly price change for existing lending services in Canada and its primary purpose is to provide supplemental information to help inform the deflation of the Banking industry's output.
Release date: 2020-10-15 - Stats in brief: 45-28-0001202000100053Description:
This article examines key housing markets in Canada prior to COVID-19 and offers an outlook of the impacts of the pandemic on the real estate market over the next few months. Price trends for four property types, such as new houses, new condominiums, resale houses and resale condominiums are explored. Prior to COVID-19, the price of condominium apartments increased at a faster pace than singles, semi-detached and row homes. The global pandemic may cause a shift of preferences for larger homes instead of condominiums as future home buyers may prefer larger homes in the suburbs as working from home becomes more prevalent.
Release date: 2020-07-21 - 6. The Impact of COVID-19 on Key Housing Markets ArchivedStats in brief: 11-627-M2020050Description:
This infographic examines key housing markets in Canada prior to COVID-19 and offers an outlook of the impacts of the pandemic on the real estate market over the next few months. Price trends for four property types, such as new houses, new condominiums, resale houses and resale condominiums are explored. Prior to COVID-19, the price of condominium apartments increased at a faster pace than single, semi-detached and row homes. Since the beginning of the pandemic, many changes have been impacting the real estate industry, from virtual tours to a change in preference towards larger homes in the suburb. We offer an outlook of the impact of those new realities on the real estate market going forward.
Release date: 2020-07-21 - Articles and reports: 11-621-M2010086Geography: Canada, Province or territoryDescription:
This study examines changes in housing market prices in Canada in 2009 using the New Housing Price Index, home resale prices, number of resale units, and data on the number of new units approved by municipalities. It highlights changes in housing market prices from 2005 to 2009 in the provinces and major cities.
Release date: 2010-06-17 - 8. New Motor Vehicle Sales: 2007 in Review ArchivedArticles and reports: 11-621-M2008069Geography: Canada, Province or territoryDescription:
This study examines new motor vehicle sales in 2007. It looks at the evolution of sales in the last 10 years with respect to the origin of the vehicle (North American-built or overseas-built). It also offers analysis of sales of cars and trucks by province in 2007.
Release date: 2008-04-23 - Articles and reports: 12-001-X20060029554Description:
Survey sampling to estimate a Consumer Price Index (CPI) is quite complicated, generally requiring a combination of data from at least two surveys: one giving prices, one giving expenditure weights. Fundamentally different approaches to the sampling process - probability sampling and purposive sampling - have each been strongly advocated and are used by different countries in the collection of price data. By constructing a small "world" of purchases and prices from scanner data on cereal and then simulating various sampling and estimation techniques, we compare the results of two design and estimation approaches: the probability approach of the United States and the purposive approach of the United Kingdom. For the same amount of information collected, but given the use of different estimators, the United Kingdom's methods appear to offer better overall accuracy in targeting a population superlative consumer price index.
Release date: 2006-12-21 - Articles and reports: 12-001-X19990014710Description:
Most statistical offices select the sample of commodities of which prices are collected for their Consumer Price Indexes with non-probability techniques. In the Netherlands, and in many other countries as well, those judgemental sampling methods come close to some kind of cut-off selection, in which a large part of the population (usually the items with the lowest expenditures) is deliberately left unobserved. This method obviously yields biased price index numbers. The question arises whether probability sampling would lead to better results in terms of the mean square error. We have considered simple random sampling, stratified sampling and systematic sampling proportional to expenditure. Monte Carlo simulations using scanner data on coffee, baby's napkins and toilet paper were carried out to assess the performance of the four sampling designs. Surprisingly perhaps, cut-off selection is shown to be a successful strategy for item sampling in the consumer price index.
Release date: 1999-10-08
Stats in brief (2)
Stats in brief (2) ((2 results))
- Stats in brief: 45-28-0001202000100053Description:
This article examines key housing markets in Canada prior to COVID-19 and offers an outlook of the impacts of the pandemic on the real estate market over the next few months. Price trends for four property types, such as new houses, new condominiums, resale houses and resale condominiums are explored. Prior to COVID-19, the price of condominium apartments increased at a faster pace than singles, semi-detached and row homes. The global pandemic may cause a shift of preferences for larger homes instead of condominiums as future home buyers may prefer larger homes in the suburbs as working from home becomes more prevalent.
Release date: 2020-07-21 - 2. The Impact of COVID-19 on Key Housing Markets ArchivedStats in brief: 11-627-M2020050Description:
This infographic examines key housing markets in Canada prior to COVID-19 and offers an outlook of the impacts of the pandemic on the real estate market over the next few months. Price trends for four property types, such as new houses, new condominiums, resale houses and resale condominiums are explored. Prior to COVID-19, the price of condominium apartments increased at a faster pace than single, semi-detached and row homes. Since the beginning of the pandemic, many changes have been impacting the real estate industry, from virtual tours to a change in preference towards larger homes in the suburb. We offer an outlook of the impact of those new realities on the real estate market going forward.
Release date: 2020-07-21
Articles and reports (11)
Articles and reports (11) (0 to 10 of 11 results)
- Articles and reports: 62F0014M2023008Description: An interactive timeline of the modernization of the CPI and related programs with dates, links, and summary of key developments.Release date: 2024-02-20
- Articles and reports: 62F0014M2022009Description:
This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2022 basket update, based on 2021 expenditure weights.
Release date: 2022-06-15 - Articles and reports: 11-621-M2021001Description:
Despite COVID-19's impact on the broader economy, the Canadian housing market remained resilient through 2020 as interest rates fell to historic lows. Using data derived from the National Economic Accounts Division and the Bank of Canada, this paper examines trends observed in the mortgage market leading up to and during the COVID-19 pandemic.
Release date: 2021-02-17 - Articles and reports: 62F0014M2020017Description:
This article presents the data sources and methodology for Lending Services Price Index (LSPI), to accompany the first release of this price index. The LSPI measures the monthly price change for existing lending services in Canada and its primary purpose is to provide supplemental information to help inform the deflation of the Banking industry's output.
Release date: 2020-10-15 - Articles and reports: 11-621-M2010086Geography: Canada, Province or territoryDescription:
This study examines changes in housing market prices in Canada in 2009 using the New Housing Price Index, home resale prices, number of resale units, and data on the number of new units approved by municipalities. It highlights changes in housing market prices from 2005 to 2009 in the provinces and major cities.
Release date: 2010-06-17 - 6. New Motor Vehicle Sales: 2007 in Review ArchivedArticles and reports: 11-621-M2008069Geography: Canada, Province or territoryDescription:
This study examines new motor vehicle sales in 2007. It looks at the evolution of sales in the last 10 years with respect to the origin of the vehicle (North American-built or overseas-built). It also offers analysis of sales of cars and trucks by province in 2007.
Release date: 2008-04-23 - Articles and reports: 12-001-X20060029554Description:
Survey sampling to estimate a Consumer Price Index (CPI) is quite complicated, generally requiring a combination of data from at least two surveys: one giving prices, one giving expenditure weights. Fundamentally different approaches to the sampling process - probability sampling and purposive sampling - have each been strongly advocated and are used by different countries in the collection of price data. By constructing a small "world" of purchases and prices from scanner data on cereal and then simulating various sampling and estimation techniques, we compare the results of two design and estimation approaches: the probability approach of the United States and the purposive approach of the United Kingdom. For the same amount of information collected, but given the use of different estimators, the United Kingdom's methods appear to offer better overall accuracy in targeting a population superlative consumer price index.
Release date: 2006-12-21 - Articles and reports: 12-001-X19990014710Description:
Most statistical offices select the sample of commodities of which prices are collected for their Consumer Price Indexes with non-probability techniques. In the Netherlands, and in many other countries as well, those judgemental sampling methods come close to some kind of cut-off selection, in which a large part of the population (usually the items with the lowest expenditures) is deliberately left unobserved. This method obviously yields biased price index numbers. The question arises whether probability sampling would lead to better results in terms of the mean square error. We have considered simple random sampling, stratified sampling and systematic sampling proportional to expenditure. Monte Carlo simulations using scanner data on coffee, baby's napkins and toilet paper were carried out to assess the performance of the four sampling designs. Surprisingly perhaps, cut-off selection is shown to be a successful strategy for item sampling in the consumer price index.
Release date: 1999-10-08 - Articles and reports: 12-001-X19980024351Description:
To calculate price indexes, data on "the same item" (actually a collection of items narrowly defined) must be collected across time periods. The question arises whether such "quasi-longitudinal" data can be modeled in such a way as to shed light on what a price index is. Leading thinkers on price indexes have questioned the feasibility of using statistical modeling at all for characterizing price indexes. This paper suggests a simple state space model of price data, yielding a consumer price index that is given in terms of the parameters of the model.
Release date: 1999-01-14 - Articles and reports: 62F0014M19970103362Geography: CanadaDescription:
The debate on the measurement of bias in the CPI has been around for decades. However, given the size of government budgetary deficits, the issue of overestimating inflation and therefore payments in social benefits has triggered the interest in the measurement of the CPI bias. The final report of the U.S. Advisory Commission to Study the Consumer Price Index, chaired by Michael Boskin, states that the U.S. CPI has been overestimated by 1.1% per year since 1996. Following the release of the report, many interested groups have asked the question as to the magnitude of the bias for Canada's CPI. This result raised the question whether the bias in the Canadian CPI was of the same magnitude. This paper begins by presenting the bias issue in the context of the Canadian CPI and then outlines some of the plans Statistics Canada intends to undertake in the near future to improve the measurement of the CPI. The paper concludes that, although the Canadian CPI may suffer from the same potential problems as the U.S. CPI, the overall effect of these biases is less notable because Statistics Canada started to apply an appropriate methodology earlier. In fact, in recent studies Crawford (1993 and 1997) tried to estimate an overall bias and concluded that given the generous judgement incorporated in the estimate, it is likely that the bias is, on average smaller than 0.5%.
Release date: 1997-10-02
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