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- 1. General Housing Imputation (Excluding Utilities) in the Survey of Labour and Income Dynamics (SLID) ArchivedArticles and reports: 75F0002M2005010Description:
For some time, Canada Mortgage and Housing Corporation (CMHC) has used data on housing characteristics and housing-related expenditures from the Census of Population. Although the Census data source serves CMHC's purposes to a large extent, the federal government agency turned to the annual household surveys of Statistics Canada to provide information on a more frequent basis. This would allow them to have a better picture of annual trends, and perhaps have a greater choice of other characteristics with which to cross housing data on Canadian households. In 2001, CMHC began to sponsor additional content in both the Survey of Labour and Income Dynamics (SLID) and the Survey of Household Spending (SHS), starting with reference year 2002.
Release date: 2005-07-22 - 2. Different Perspectives on the Rate of Inflation, 1982-2000: The Impact of Homeownership Costs ArchivedArticles and reports: 62F0014M2003016Geography: CanadaDescription:
For a long time, the Consumer Price Index (CPI) has been the most commonly referenced measure of inflation. However, it is not generally perceived how sensitive the CPI is to the measurement of price change for owned accommodation. The relative importance of the homeownership component in the CPI and the movement of that component are critically dependent on the choice of concept for estimating homeownership costs. However, there is no one concept that is generally agreed upon by official statistical agencies. As part of an ongoing research program into major issues involved in the construction of consumer price indexes, analytical indexes of consumer prices based on different treatments of owned accommodation are updated in this publication for the period 1995 to 2000.
This paper presents seven alternative homeownership series based on four different concepts, including one based on the current concept used in the official CPI. Series are also shown for higher-level aggregates, including indexes at the All-items level. All of these higher-level aggregates differ only in their owned accommodation components, for all aggregates and all other components are based on the official concept.
Release date: 2003-04-10 - 3. 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
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- 1. General Housing Imputation (Excluding Utilities) in the Survey of Labour and Income Dynamics (SLID) ArchivedArticles and reports: 75F0002M2005010Description:
For some time, Canada Mortgage and Housing Corporation (CMHC) has used data on housing characteristics and housing-related expenditures from the Census of Population. Although the Census data source serves CMHC's purposes to a large extent, the federal government agency turned to the annual household surveys of Statistics Canada to provide information on a more frequent basis. This would allow them to have a better picture of annual trends, and perhaps have a greater choice of other characteristics with which to cross housing data on Canadian households. In 2001, CMHC began to sponsor additional content in both the Survey of Labour and Income Dynamics (SLID) and the Survey of Household Spending (SHS), starting with reference year 2002.
Release date: 2005-07-22 - 2. Different Perspectives on the Rate of Inflation, 1982-2000: The Impact of Homeownership Costs ArchivedArticles and reports: 62F0014M2003016Geography: CanadaDescription:
For a long time, the Consumer Price Index (CPI) has been the most commonly referenced measure of inflation. However, it is not generally perceived how sensitive the CPI is to the measurement of price change for owned accommodation. The relative importance of the homeownership component in the CPI and the movement of that component are critically dependent on the choice of concept for estimating homeownership costs. However, there is no one concept that is generally agreed upon by official statistical agencies. As part of an ongoing research program into major issues involved in the construction of consumer price indexes, analytical indexes of consumer prices based on different treatments of owned accommodation are updated in this publication for the period 1995 to 2000.
This paper presents seven alternative homeownership series based on four different concepts, including one based on the current concept used in the official CPI. Series are also shown for higher-level aggregates, including indexes at the All-items level. All of these higher-level aggregates differ only in their owned accommodation components, for all aggregates and all other components are based on the official concept.
Release date: 2003-04-10 - 3. 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
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