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- Surveys and statistical programs – Documentation: 62F0026M2005005Description:
This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.
Release date: 2005-07-15 - 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 - 4. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. 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 ten provinces. (The three 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: 2001-12-12 - 5. Survey sampling theory over the twentieth century and its relation to computing technology ArchivedArticles and reports: 12-001-X20000015174Description:
Computation is an integral part of statistical analysis in general and survey sampling in particular. What kinds of analyses can be carried out will depend upon what kind of computational power is available. The general development of sampling theory is traced in connection with technological developments in computation.
Release date: 2000-08-30 - 6. A Reality Check to Defining E-commerce ArchivedArticles and reports: 88F0006X1999006Description:
This study provides background information towards developing working definitions of e-commerce. In addition, through selected case studies it examines whether respondents could provide information for such measurements. The study distinguishes between e-commerce and e-business, the former being a sub-set of the latter and emphasizes computer-mediation as an important feature of this phenomenon. A definition of e-commerce is then proposed: "Transactions carried over computer-mediated channels that comprise the transfer of ownership or the entitlement to use tangible or intangible assets".
Release date: 1999-08-20
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- 1. Survey sampling theory over the twentieth century and its relation to computing technology ArchivedArticles and reports: 12-001-X20000015174Description:
Computation is an integral part of statistical analysis in general and survey sampling in particular. What kinds of analyses can be carried out will depend upon what kind of computational power is available. The general development of sampling theory is traced in connection with technological developments in computation.
Release date: 2000-08-30 - 2. A Reality Check to Defining E-commerce ArchivedArticles and reports: 88F0006X1999006Description:
This study provides background information towards developing working definitions of e-commerce. In addition, through selected case studies it examines whether respondents could provide information for such measurements. The study distinguishes between e-commerce and e-business, the former being a sub-set of the latter and emphasizes computer-mediation as an important feature of this phenomenon. A definition of e-commerce is then proposed: "Transactions carried over computer-mediated channels that comprise the transfer of ownership or the entitlement to use tangible or intangible assets".
Release date: 1999-08-20
Reference (4)
Reference (4) ((4 results))
- Surveys and statistical programs – Documentation: 62F0026M2005005Description:
This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.
Release date: 2005-07-15 - 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 - 4. User Guide - Survey of Household Spending, 2000 ArchivedSurveys and statistical programs – Documentation: 62F0026M2001004Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. 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 ten provinces. (The three 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: 2001-12-12
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