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- 1. 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 - 2. 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 - 3. Recent Developments in the Low Income Cut-offs ArchivedArticles and reports: 75F0002M2001003Description:
This paper outlines the results of an investigation into three aspects of the low income cut-offs: the behaviour of a proposed 'annually updated' low income series, the addition of payroll taxes, and the restructuring of the matrix of 35 cut-offs.
Release date: 2001-07-13 - 4. Entry Exit Component for Labour Interview: January 2000, Survey of Labour and Income Dynamics ArchivedSurveys and statistical programs – Documentation: 75F0002M2000013Description:
This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) labour interview.
Release date: 2001-04-17 - Surveys and statistical programs – Documentation: 75F0002M2000015Description:
This document outlines the structure of the January 2000 Survey of Labour and Income Dynamics (SLID) labour interview, including question wording, possible responses, and flows of questions.
Release date: 2001-04-17 - 6. Entry Exit Component for Income Interview: May 2000, Survey of Labour and Income Dynamics ArchivedSurveys and statistical programs – Documentation: 75F0002M2000012Description:
This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) income interview.
Release date: 2001-03-27 - Surveys and statistical programs – Documentation: 75F0002M2000014Description:
This paper describes the collection method and content of the 2000 Survey of Labour and Income Dynamics (SLID) income interview.
Release date: 2001-03-27 - Surveys and statistical programs – Documentation: 75F0002M2000016Description:
This paper presents the questions, possible responses and question flows for the 2000 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.
Release date: 2001-03-27 - 9. Geographic Structures As Census Variables: Using Geography to Analyse Social and Economic Processes ArchivedArticles and reports: 92F0138M2001001Description:
Traditionally, Statistics Canada uses standard geographic areas as "containers" for the dissemination of statistical data. However, geographic structures are often used as variables in general applications, for example, to document the rural and urban population in a specific area such as an incorporated municipality (census subdivision). They are not often cross-tabulated with each other to illustrate and analyse specific social and economic processes, for example, the settlement patterns of the population inside and outside of larger urban centres broken down by urban and rural areas.The introduction of the census metropolitan area and census agglomeration influenced zone (MIZ) concept presents additional opportunities to use geographic structures as variables to analyse census data.The objectives of this working paper are to illustrate the advantages of using geographic structures as variables to better analyse social and economic processes and to initiate a discussion in the user community about using these variables and the potential of this largely untapped capability of the Census databases. In order to achieve these objectives, four examples of geography as a variable are presented. The examples include Aboriginal persons living on-reserve and off-reserve in urban and rural areas in Canada, the unemployment rate of persons living in urban and rural areas in Canada, the gross rent of renter households in urban and rural areas in Canada, and the migration flows of persons 15 to 24 years of age between major urban centres and rural and small town areas (MIZ).Our intent is to encourage the use of geographic structures as census variables in order to provide users with the tools that will enable them to more accurately analyse the social and economic processes that take place in the geographic areas of Canada.
Release date: 2001-03-16 - 10. Survey of Financial Security Interview Questionnaire ArchivedSurveys and statistical programs – Documentation: 13F0026M2001001Description:
This document briefly describes the Survey of Financial Security and presents the questionnaire used for the interview. The Survey of Financial Security (SFS) was conducted during May and June of 1999. The information was collected by personal interview, using a paper questionnaire. Introductory material was sent to the respondent prior to the first contact by the interviewer.
Approximately 23,000 dwellings were selected for the sample, most using the Labour Force Survey frame. The high-income sample was drawn from geographic areas with a larger concentration of high-income households.
The survey collected the following type of information: (1) general demographic information on all members of the family, (2) more detailed information on the education, employment, income, etc., on those family members 15 years of age and older, and, (3) asset and debt information on the family as a whole.
Release date: 2001-01-24
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Analysis (2)
Analysis (2) ((2 results))
- 1. Recent Developments in the Low Income Cut-offs ArchivedArticles and reports: 75F0002M2001003Description:
This paper outlines the results of an investigation into three aspects of the low income cut-offs: the behaviour of a proposed 'annually updated' low income series, the addition of payroll taxes, and the restructuring of the matrix of 35 cut-offs.
Release date: 2001-07-13 - 2. Geographic Structures As Census Variables: Using Geography to Analyse Social and Economic Processes ArchivedArticles and reports: 92F0138M2001001Description:
Traditionally, Statistics Canada uses standard geographic areas as "containers" for the dissemination of statistical data. However, geographic structures are often used as variables in general applications, for example, to document the rural and urban population in a specific area such as an incorporated municipality (census subdivision). They are not often cross-tabulated with each other to illustrate and analyse specific social and economic processes, for example, the settlement patterns of the population inside and outside of larger urban centres broken down by urban and rural areas.The introduction of the census metropolitan area and census agglomeration influenced zone (MIZ) concept presents additional opportunities to use geographic structures as variables to analyse census data.The objectives of this working paper are to illustrate the advantages of using geographic structures as variables to better analyse social and economic processes and to initiate a discussion in the user community about using these variables and the potential of this largely untapped capability of the Census databases. In order to achieve these objectives, four examples of geography as a variable are presented. The examples include Aboriginal persons living on-reserve and off-reserve in urban and rural areas in Canada, the unemployment rate of persons living in urban and rural areas in Canada, the gross rent of renter households in urban and rural areas in Canada, and the migration flows of persons 15 to 24 years of age between major urban centres and rural and small town areas (MIZ).Our intent is to encourage the use of geographic structures as census variables in order to provide users with the tools that will enable them to more accurately analyse the social and economic processes that take place in the geographic areas of Canada.
Release date: 2001-03-16
Reference (8)
Reference (8) ((8 results))
- 1. 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 - 2. 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 - 3. Entry Exit Component for Labour Interview: January 2000, Survey of Labour and Income Dynamics ArchivedSurveys and statistical programs – Documentation: 75F0002M2000013Description:
This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) labour interview.
Release date: 2001-04-17 - Surveys and statistical programs – Documentation: 75F0002M2000015Description:
This document outlines the structure of the January 2000 Survey of Labour and Income Dynamics (SLID) labour interview, including question wording, possible responses, and flows of questions.
Release date: 2001-04-17 - 5. Entry Exit Component for Income Interview: May 2000, Survey of Labour and Income Dynamics ArchivedSurveys and statistical programs – Documentation: 75F0002M2000012Description:
This document presents the information for the new entry exit portion of the Survey of Labour and Income Dynamics (SLID) income interview.
Release date: 2001-03-27 - Surveys and statistical programs – Documentation: 75F0002M2000014Description:
This paper describes the collection method and content of the 2000 Survey of Labour and Income Dynamics (SLID) income interview.
Release date: 2001-03-27 - Surveys and statistical programs – Documentation: 75F0002M2000016Description:
This paper presents the questions, possible responses and question flows for the 2000 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.
Release date: 2001-03-27 - Surveys and statistical programs – Documentation: 13F0026M2001001Description:
This document briefly describes the Survey of Financial Security and presents the questionnaire used for the interview. The Survey of Financial Security (SFS) was conducted during May and June of 1999. The information was collected by personal interview, using a paper questionnaire. Introductory material was sent to the respondent prior to the first contact by the interviewer.
Approximately 23,000 dwellings were selected for the sample, most using the Labour Force Survey frame. The high-income sample was drawn from geographic areas with a larger concentration of high-income households.
The survey collected the following type of information: (1) general demographic information on all members of the family, (2) more detailed information on the education, employment, income, etc., on those family members 15 years of age and older, and, (3) asset and debt information on the family as a whole.
Release date: 2001-01-24
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