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    All (3)

    All (3) ((3 results))

    • 1. On sample survey designs for consumer price indexes Archived
      Articles and reports: 12-001-X20060029554
      Description:

      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
    • 2. An Analysis of Consumer Prices in 2005 Archived
      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
    • 3. Outlet Substitution Bias in the Canadian Consumer Price Index: A Case Study Archived
      Articles and reports: 62F0014M2005018
      Geography: Canada
      Description:

      Since the early 1990s, increased attention has been focused on the possibility that the rate of inflation may be being overstated as a result of measurement biases in the estimation of the Consumer Price Index (CPI). One source of this possible error is caused by outlet substitution bias. This type of distortion can result when consumers shift their patronage from one retail outlet to another. As superstores and warehouse type stores continue to open and capture a larger share of the market, the existing CPI sample could become increasingly unrepresentative. If the prices are lower at the new outlets and this decrease in costs is not accurately captured in the CPI, the index will exhibit an upward bias.

      Release date: 2006-05-10
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    Analysis (3) ((3 results))

    • 1. On sample survey designs for consumer price indexes Archived
      Articles and reports: 12-001-X20060029554
      Description:

      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
    • 2. An Analysis of Consumer Prices in 2005 Archived
      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
    • 3. Outlet Substitution Bias in the Canadian Consumer Price Index: A Case Study Archived
      Articles and reports: 62F0014M2005018
      Geography: Canada
      Description:

      Since the early 1990s, increased attention has been focused on the possibility that the rate of inflation may be being overstated as a result of measurement biases in the estimation of the Consumer Price Index (CPI). One source of this possible error is caused by outlet substitution bias. This type of distortion can result when consumers shift their patronage from one retail outlet to another. As superstores and warehouse type stores continue to open and capture a larger share of the market, the existing CPI sample could become increasingly unrepresentative. If the prices are lower at the new outlets and this decrease in costs is not accurately captured in the CPI, the index will exhibit an upward bias.

      Release date: 2006-05-10
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