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All (123) (0 to 10 of 123 results)

1. Income Research Paper Series
Journals and periodicals: 75F0002M
Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
Release date: 2024-04-26
2. Defining retirement Archived
Articles and reports: 75-001-X200710213182
Geography: Canada
Description:
Even though the retirement wave will have significant labour market consequences over the next 20 years, no regular statistics are produced on retirement or the retired. Part of the problem stems from lack of clear definitions. For some, retirement means complete withdrawal from the labour force while for others it entails part- or even full-time work. The article examines the challenges faced by statistical organizations in measuring retirement and offers several recommendations to inform a discussion for arriving at international standards.
Release date: 2007-03-20
3. Thoughts on the future of surveys Archived
Articles and reports: 11-522-X20040018744
Description:
I will try to look at the future of survey research in the light of the incredible developments in information technology. I will speculate on what new technologies might contribute to doing surveys differently.
Release date: 2005-10-27
4. Strategies for surveying American Indian and Alaska Native communities Archived
Articles and reports: 11-522-X20040018747
Description:
This document describes the development and pilot of the first American Indian and Alaska Native Adult Tobacco Survey. Meetings with expert panels and tribal representatives helped to adapt methods.
Release date: 2005-10-27
5. Research and analysis to better understand data collection activities Archived
Articles and reports: 11-522-X20030017604
Description:
This paper explains the scope, objectives and challenges of research and analysis on operations at Statistics Canada and gives some examples of the work accomplished to date.
Release date: 2005-01-26
6. Using bootstrap weights with Wes Var and SUDAAN Archived
Articles and reports: 12-002-X20040027032
Description:
This article examines why many Statistics Canada surveys supply bootstrap weights with their microdata for the purpose of design-based variance estimation. Bootstrap weights are not supported by commercially available software such as SUDAAN and WesVar, but there are ways to use these applications to produce boostrap variance estimates.
The paper concludes with a brief discussion of other design-based approaches to variance estimation as well as software, programs and procedures where these methods have been employed.
Release date: 2004-10-05
7. Survey of Household Spending 2001 - Data Quality Indicators Archived
Surveys and statistical programs – Documentation: 62F0026M2003001
Description:
This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.
Release date: 2003-11-26
8. Chain Fisher Volume Index Methodology Archived
Surveys and statistical programs – Documentation: 13-604-M2003042
Description:
On May 31, 2001, the quarterly income and expenditure accounts adopted the Chain Fisher Index formula, chained quarterly, as the official measure of real gross domestic product (GDP) in terms of expenditures. This formula was also adopted for the Provincial Accounts on October 31, 2002.
There were two reasons for adopting this formula: to provide users with a more accurate measure of real GDP growth between two consecutive periods and to make the Canadian measure comparable with the Income and Product Accounts of the United States, which has used the Chain Fisher Index formula since 1996 to measure real GDP.
Release date: 2003-11-06
9. Different Perspectives on the Rate of Inflation, 1982-2000: The Impact of Homeownership Costs Archived
Articles and reports: 62F0014M2003016
Geography: Canada
Description:
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
10. Hot deck imputation for the response model Archived
Articles and reports: 11-522-X20010016275
Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.
Release date: 2002-09-12

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Analysis (46)

Analysis (46) (0 to 10 of 46 results)

1. Income Research Paper Series
Journals and periodicals: 75F0002M
Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
Release date: 2024-04-26
2. Defining retirement Archived
Articles and reports: 75-001-X200710213182
Geography: Canada
Description:
Even though the retirement wave will have significant labour market consequences over the next 20 years, no regular statistics are produced on retirement or the retired. Part of the problem stems from lack of clear definitions. For some, retirement means complete withdrawal from the labour force while for others it entails part- or even full-time work. The article examines the challenges faced by statistical organizations in measuring retirement and offers several recommendations to inform a discussion for arriving at international standards.
Release date: 2007-03-20
3. Thoughts on the future of surveys Archived
Articles and reports: 11-522-X20040018744
Description:
I will try to look at the future of survey research in the light of the incredible developments in information technology. I will speculate on what new technologies might contribute to doing surveys differently.
Release date: 2005-10-27
4. Strategies for surveying American Indian and Alaska Native communities Archived
Articles and reports: 11-522-X20040018747
Description:
This document describes the development and pilot of the first American Indian and Alaska Native Adult Tobacco Survey. Meetings with expert panels and tribal representatives helped to adapt methods.
Release date: 2005-10-27
5. Research and analysis to better understand data collection activities Archived
Articles and reports: 11-522-X20030017604
Description:
This paper explains the scope, objectives and challenges of research and analysis on operations at Statistics Canada and gives some examples of the work accomplished to date.
Release date: 2005-01-26
6. Using bootstrap weights with Wes Var and SUDAAN Archived
Articles and reports: 12-002-X20040027032
Description:
This article examines why many Statistics Canada surveys supply bootstrap weights with their microdata for the purpose of design-based variance estimation. Bootstrap weights are not supported by commercially available software such as SUDAAN and WesVar, but there are ways to use these applications to produce boostrap variance estimates.
The paper concludes with a brief discussion of other design-based approaches to variance estimation as well as software, programs and procedures where these methods have been employed.
Release date: 2004-10-05
7. Different Perspectives on the Rate of Inflation, 1982-2000: The Impact of Homeownership Costs Archived
Articles and reports: 62F0014M2003016
Geography: Canada
Description:
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
8. Hot deck imputation for the response model Archived
Articles and reports: 11-522-X20010016275
Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
Hot deck imputation, in which missing items are replaced with values from respondents, is often used in survey sampling. A model supporting such procedures is the model in which response probabilities are assumed equal within imputation cells. In this paper, an efficient version of hot deck imputation is described, as are the variance of the efficient version derived under the cell response model and an approximation to the fully efficient procedure in which a small number of values are imputed for each non-respondent, respectively. Variance estimation procedures are presented and illustrated in a Monte Carlo study.
Release date: 2002-09-12
9. Regression estimation for survey samples Archived
Articles and reports: 12-001-X20020016408
Description:
Regression and regression-related procedures have become common in survey estimation. We review the basic properties of regression estimators, discuss implementation of regression estimation, and investigate variance estimation for regression estimators. The role of models in constructing regression estimators and the use of regression in non-response adjustment are also explored.
Release date: 2002-07-05
10. Survey of Innovation 1999, Methodological Framework: Decisions Taken and Lessons Learned Archived
Articles and reports: 88F0006X2002012
Description:
Statistics Canada's Survey of Innovation 1999 surveyed manufacturing in the fall of 1999. It was the first innovation survey of selected natural resource industries. This paper is part of a series of working papers based on the Survey of Innovation 1999. This paper details the survey methodology, including decisions taken and lessons learned regarding survey design.
Release date: 2002-06-28

Reference (77)

Reference (77) (0 to 10 of 77 results)

1. Survey of Household Spending 2001 - Data Quality Indicators Archived
Surveys and statistical programs – Documentation: 62F0026M2003001
Description:
This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.
Release date: 2003-11-26
2. Chain Fisher Volume Index Methodology Archived
Surveys and statistical programs – Documentation: 13-604-M2003042
Description:
On May 31, 2001, the quarterly income and expenditure accounts adopted the Chain Fisher Index formula, chained quarterly, as the official measure of real gross domestic product (GDP) in terms of expenditures. This formula was also adopted for the Provincial Accounts on October 31, 2002.
There were two reasons for adopting this formula: to provide users with a more accurate measure of real GDP growth between two consecutive periods and to make the Canadian measure comparable with the Income and Product Accounts of the United States, which has used the Chain Fisher Index formula since 1996 to measure real GDP.
Release date: 2003-11-06
3. Methodology of the Survey of Household Spending Archived
Surveys and statistical programs – Documentation: 62F0026M2001003
Description:
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
4. Survey of Financial Security - Methodology for Estimating the Value of Employer Pension Plan Benefits Archived
Surveys and statistical programs – Documentation: 13F0026M2001003
Description:
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
5. Entry Exit Component for Labour Interview: January 2000, Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2000013
Description:
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
6. Labour Interview Questionnaire: January 2000, Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2000015
Description:
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
7. Entry Exit Component for Income Interview: May 2000, Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2000012
Description:
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
8. Income Interview Questionnaire: May 2000, Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2000014
Description:
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
9. Preliminary Interview Questionnaire, Survey of Labour and Income Dynamics Archived
Surveys and statistical programs – Documentation: 75F0002M2000016
Description:
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
10. Survey of Financial Security Interview Questionnaire Archived
Surveys and statistical programs – Documentation: 13F0026M2001001
Description:
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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Date modified:: 2024-07-10