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All (10) ((10 results))

  • Articles and reports: 62F0014M2022008
    Description:

    The Canadian Consumer Price Index (CPI) accounts for the sale of used vehicles by including a net expenditure weight for used vehicles in the index for the purchase of passenger vehicles. However, price changes for new cars were used as a proxy for used cars to ensure price change for this product was still covered to the best extent possible. The research paper outlines the proposed plan for introducing used vehicle prices, including data and methods. With the introduction of the 2021 CPI basket, a new approach for measuring price change in used vehicles is recommended to replace the previous method of measuring used vehicles price change by proxy.

    Release date: 2022-05-18

  • Articles and reports: 62F0014M2021016
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated monthly adjusted consumer expenditure weights that reflect shifts in consumption patterns as the COVID-19 pandemic evolves. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data cover all goods and services in the Consumer Price Index (CPI), and provide snapshot estimates of expenditure weights for June, July, August and September 2021. These estimates can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2021-11-10

  • Articles and reports: 62F0014M2021002
    Description:

    This technical guide describes the methodological details for the Consulting Services Price Index (COSPI). The document includes information about the purpose of the index, data sources, and index estimation and aggregation.

    Release date: 2021-01-28

  • Articles and reports: 62F0014M2020018
    Description:

    This paper looks at price movements for surveying and mapping services in Canada between 2013 and 2018, the types of services offered and the forces driving the industry, and provides an industry update for 2020.

    Release date: 2020-10-02

  • Articles and reports: 62F0014M2020010
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated Consumer Price Index (CPI) basket expenditures that reflect shifts in consumption patterns during the COVID-19 pandemic. The data cover the majority of CPI goods and services, and provide a snapshot estimate of expenditure weights for March, April and May, 2020. These estimates, updated to reflect recent expenditures during the pandemic and concurrent period of physical distancing, can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2020-07-13

  • Articles and reports: 62F0014M2020005
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic. This analysis includes Canadian grocery sales up to April 11.

    Release date: 2020-05-11

  • Articles and reports: 62F0014M2020004
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic.

    Release date: 2020-04-08

  • Articles and reports: 11-621-M2010086
    Geography: Canada, Province or territory
    Description:

    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

  • Articles and reports: 11-621-M2006042
    Geography: Canada, Province or territory
    Description:

    This survey analyzes the highlights of consumer prices in 2005 focusing on the various components of the Consumer Price Index such as energy, services and durable goods, This study also looks at the provincial dimension and compares Canadian prices to other countries.

    Release date: 2006-05-17

  • Articles and reports: 12-001-X19990014710
    Description:

    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 (0)

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Articles and reports (10)

Articles and reports (10) ((10 results))

  • Articles and reports: 62F0014M2022008
    Description:

    The Canadian Consumer Price Index (CPI) accounts for the sale of used vehicles by including a net expenditure weight for used vehicles in the index for the purchase of passenger vehicles. However, price changes for new cars were used as a proxy for used cars to ensure price change for this product was still covered to the best extent possible. The research paper outlines the proposed plan for introducing used vehicle prices, including data and methods. With the introduction of the 2021 CPI basket, a new approach for measuring price change in used vehicles is recommended to replace the previous method of measuring used vehicles price change by proxy.

    Release date: 2022-05-18

  • Articles and reports: 62F0014M2021016
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated monthly adjusted consumer expenditure weights that reflect shifts in consumption patterns as the COVID-19 pandemic evolves. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data cover all goods and services in the Consumer Price Index (CPI), and provide snapshot estimates of expenditure weights for June, July, August and September 2021. These estimates can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2021-11-10

  • Articles and reports: 62F0014M2021002
    Description:

    This technical guide describes the methodological details for the Consulting Services Price Index (COSPI). The document includes information about the purpose of the index, data sources, and index estimation and aggregation.

    Release date: 2021-01-28

  • Articles and reports: 62F0014M2020018
    Description:

    This paper looks at price movements for surveying and mapping services in Canada between 2013 and 2018, the types of services offered and the forces driving the industry, and provides an industry update for 2020.

    Release date: 2020-10-02

  • Articles and reports: 62F0014M2020010
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated Consumer Price Index (CPI) basket expenditures that reflect shifts in consumption patterns during the COVID-19 pandemic. The data cover the majority of CPI goods and services, and provide a snapshot estimate of expenditure weights for March, April and May, 2020. These estimates, updated to reflect recent expenditures during the pandemic and concurrent period of physical distancing, can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2020-07-13

  • Articles and reports: 62F0014M2020005
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic. This analysis includes Canadian grocery sales up to April 11.

    Release date: 2020-05-11

  • Articles and reports: 62F0014M2020004
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic.

    Release date: 2020-04-08

  • Articles and reports: 11-621-M2010086
    Geography: Canada, Province or territory
    Description:

    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

  • Articles and reports: 11-621-M2006042
    Geography: Canada, Province or territory
    Description:

    This survey analyzes the highlights of consumer prices in 2005 focusing on the various components of the Consumer Price Index such as energy, services and durable goods, This study also looks at the provincial dimension and compares Canadian prices to other countries.

    Release date: 2006-05-17

  • Articles and reports: 12-001-X19990014710
    Description:

    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
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

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