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- 1. 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 - 2. Definitions of Rural ArchivedSurveys and statistical programs – Documentation: 21-006-X2001003Geography: CanadaDescription:
The purpose of this bulletin is to review various responses to "Why are you asking about rural populations?"; to summarize and compare alternative definitions that have been used to delineate the "rural" population within the databases at Statistics Canada; and to offer alternative definitions of "rural" that would be appropriate to each reason for asking about the rural population.
Release date: 2001-11-19 - Surveys and statistical programs – Documentation: 62F0026M2001001Description:
This report describes the quality indicators produced for the 1998 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 62F0026M2001002Description:
This report describes the quality indicators produced for the 1999 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - 5. Methodology of the Survey of Household Spending ArchivedSurveys and statistical programs – Documentation: 62F0026M2001003Description:
This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 13-605-X20010028517Description:
As of September 28, 2001 the annual revision of monthly GDP by industry estimates will include major classification and conceptual changes: Change in valuation from factor cost to basic prices.
Release date: 2001-09-28 - 7. Adoption of NAICS ArchivedSurveys and statistical programs – Documentation: 13-605-X20010028518Description:
As of September 28, 2001 the annual revision of monthly GDP by industry estimates will include major classification and conceptual changes: Adoption of NAICS.
Release date: 2001-09-28 - Surveys and statistical programs – Documentation: 12F0073XDescription:
This publication is intended for anyone interested in a career as an economist/sociologist at Statistics Canada, Canada's federal statistical agency.
Release date: 2001-09-12 - Surveys and statistical programs – Documentation: 13F0029XDescription:
This product provides a listing of all the publications, products and services of the National Accounts Branch.
Release date: 2001-09-10 - 10. Survey of Financial Security - Methodology for Estimating the Value of Employer Pension Plan Benefits ArchivedSurveys and statistical programs – Documentation: 13F0026M2001003Description:
Initial results from the Survey of Financial Security (SFS), which provides information on the net worth of Canadians, were released on March 15 2001, in The daily. The survey collected information on the value of the financial and non-financial assets owned by each family unit and on the amount of their debt.
Statistics Canada is currently refining this initial estimate of net worth by adding to it an estimate of the value of benefits accrued in employer pension plans. This is an important addition to any asset and debt survey as, for many family units, it is likely to be one of the largest assets. With the aging of the population, information on pension accumulations is greatly needed to better understand the financial situation of those nearing retirement. These updated estimates of the Survey of Financial Security will be released in late fall 2001.
The process for estimating the value of employer pension plan benefits is a complex one. This document describes the methodology for estimating that value, for the following groups: a) persons who belonged to an RPP at the time of the survey (referred to as current plan members); b) persons who had previously belonged to an RPP and either left the money in the plan or transferred it to a new plan; c) persons who are receiving RPP benefits.
This methodology was proposed by Hubert Frenken and Michael Cohen. The former has many years of experience with Statistics Canada working with data on employer pension plans; the latter is a principal with the actuarial consulting firm William M. Mercer. Earlier this year, Statistics Canada carried out a public consultation on the proposed methodology. This report includes updates made as a result of feedback received from data users.
Release date: 2001-09-05
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- 1. 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 - 2. Definitions of Rural ArchivedSurveys and statistical programs – Documentation: 21-006-X2001003Geography: CanadaDescription:
The purpose of this bulletin is to review various responses to "Why are you asking about rural populations?"; to summarize and compare alternative definitions that have been used to delineate the "rural" population within the databases at Statistics Canada; and to offer alternative definitions of "rural" that would be appropriate to each reason for asking about the rural population.
Release date: 2001-11-19 - Surveys and statistical programs – Documentation: 62F0026M2001001Description:
This report describes the quality indicators produced for the 1998 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 62F0026M2001002Description:
This report describes the quality indicators produced for the 1999 Survey of Household Spending. It covers the usual quality indicators that help users interpret data, such as coefficients of variation, nonresponse rates, imputation rates and the impact of imputed data on the estimates. Added to these are various less often used indicators such as slippage rates and measures of the representativity of the sample for particular characteristics that are useful for evaluating the survey methodology.
Release date: 2001-10-15 - 5. Methodology of the Survey of Household Spending ArchivedSurveys and statistical programs – Documentation: 62F0026M2001003Description:
This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.
Release date: 2001-10-15 - Surveys and statistical programs – Documentation: 13-605-X20010028517Description:
As of September 28, 2001 the annual revision of monthly GDP by industry estimates will include major classification and conceptual changes: Change in valuation from factor cost to basic prices.
Release date: 2001-09-28 - 7. Adoption of NAICS ArchivedSurveys and statistical programs – Documentation: 13-605-X20010028518Description:
As of September 28, 2001 the annual revision of monthly GDP by industry estimates will include major classification and conceptual changes: Adoption of NAICS.
Release date: 2001-09-28 - Surveys and statistical programs – Documentation: 12F0073XDescription:
This publication is intended for anyone interested in a career as an economist/sociologist at Statistics Canada, Canada's federal statistical agency.
Release date: 2001-09-12 - Surveys and statistical programs – Documentation: 13F0029XDescription:
This product provides a listing of all the publications, products and services of the National Accounts Branch.
Release date: 2001-09-10 - 10. Survey of Financial Security - Methodology for Estimating the Value of Employer Pension Plan Benefits ArchivedSurveys and statistical programs – Documentation: 13F0026M2001003Description:
Initial results from the Survey of Financial Security (SFS), which provides information on the net worth of Canadians, were released on March 15 2001, in The daily. The survey collected information on the value of the financial and non-financial assets owned by each family unit and on the amount of their debt.
Statistics Canada is currently refining this initial estimate of net worth by adding to it an estimate of the value of benefits accrued in employer pension plans. This is an important addition to any asset and debt survey as, for many family units, it is likely to be one of the largest assets. With the aging of the population, information on pension accumulations is greatly needed to better understand the financial situation of those nearing retirement. These updated estimates of the Survey of Financial Security will be released in late fall 2001.
The process for estimating the value of employer pension plan benefits is a complex one. This document describes the methodology for estimating that value, for the following groups: a) persons who belonged to an RPP at the time of the survey (referred to as current plan members); b) persons who had previously belonged to an RPP and either left the money in the plan or transferred it to a new plan; c) persons who are receiving RPP benefits.
This methodology was proposed by Hubert Frenken and Michael Cohen. The former has many years of experience with Statistics Canada working with data on employer pension plans; the latter is a principal with the actuarial consulting firm William M. Mercer. Earlier this year, Statistics Canada carried out a public consultation on the proposed methodology. This report includes updates made as a result of feedback received from data users.
Release date: 2001-09-05
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