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- Surveys and statistical programs – Documentation: 62F0026M2004003Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13 - Articles and reports: 12-002-X20040027034Description:
The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.
Release date: 2004-10-05 - Articles and reports: 11-522-X20020016729Description:
For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.
In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).
The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.
Release date: 2004-09-13 - 4. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016751Description:
Closing remarks
Release date: 2004-09-13 - 5. Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016752Description:
Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.
Release date: 2004-09-13 - 6. Keynote address ArchivedArticles and reports: 11-522-X20020016753Description:
Keynote Address.
Release date: 2004-09-13 - Surveys and statistical programs – Documentation: 92-390-XDescription:
This report includes a definition of the 2001 place of work concept and the place of work geography, standard text on data collection and coverage (including data collection methods, special coverage studies, sampling and weighting, edit and follow-up, coverage and content considerations). Both standard and subject-matter specific text pieces are also included for data assimilation (automated as well as interactive coding), edit and imputation and data evaluation. Finally, this technical report includes a section on historical comparability.
Release date: 2004-08-26 - Articles and reports: 75F0002M2004001Description:
The purpose of this document is to describe the detailed methodology and assumptions behind the construction of the market basket measure (MBM) of low income. Also this document will raise some issues and highlight some data limitations related to the MBM.
The MBM represents the cost of a basket that includes a nutritious diet, clothing and footwear, shelter, transportation, and other necessary goods and services (such as personal care items or household supplies).
The MBM methodology was developed by the Federal/Provincial/Territorial Working Group on Social Development Research and Information for Human Resources Development Canada (HRDC).
Release date: 2004-02-04 - Surveys and statistical programs – Documentation: 92-383-XDescription:
This report discusses various aspects of the quality of data on mother tongue, language spoken at home, knowledge of language and language at work. In the 2001 Census questionnaire, there are five questions on these four language categories. These questions, complemented by questions on ethnicity, religious affiliation and immigration, provide an opportunity to study linguistic and cultural characteristics of Canadians. These questions on languages are designed to collect the demolinguistic data. Demolinguistics, a subdiscipline of demography (not of linguistics), involves the demographic analysis of data on languages. Such analysis is useful for our understanding of, for instance, the linguistic diversity of Canadians, the evolution of language groups, or the transmission of mother tongue between generations. For each of the four categories of language questions mentioned above, the report describes briefly the procedures of data collection, some aspects of coverage, the processing stages of the data verification operation and the procedures used for editing and imputing the language variables. Finally, a description on how the data were evaluated will be presented.
Release date: 2004-01-27 - Surveys and statistical programs – Documentation: 92-384-XDescription:
This report provides information on various aspects of the data on mobility and migration. It provides a review of the questions, concepts and definitions, along with a discussion of limitations inherent in the measurement of one-year and five-year mobility and migration in the censuses of Canada. Some background is provided on the processing of mobility data, from collection through to retrieval. The historical comparability of mobility and migration data from 1961 to 2001 is examined in terms of conceptual and processing changes. The analysis of the quality of 2001 data focuses mainly on the quality at the national and provincial level. Where possible, the five-year data and the one-year data are discussed separately.
Release date: 2004-01-27
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- Articles and reports: 12-002-X20040027034Description:
The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.
Release date: 2004-10-05 - Articles and reports: 11-522-X20020016729Description:
For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.
In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).
The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.
Release date: 2004-09-13 - 3. Closing remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016751Description:
Closing remarks
Release date: 2004-09-13 - 4. Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research ArchivedArticles and reports: 11-522-X20020016752Description:
Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.
Release date: 2004-09-13 - 5. Keynote address ArchivedArticles and reports: 11-522-X20020016753Description:
Keynote Address.
Release date: 2004-09-13 - Articles and reports: 75F0002M2004001Description:
The purpose of this document is to describe the detailed methodology and assumptions behind the construction of the market basket measure (MBM) of low income. Also this document will raise some issues and highlight some data limitations related to the MBM.
The MBM represents the cost of a basket that includes a nutritious diet, clothing and footwear, shelter, transportation, and other necessary goods and services (such as personal care items or household supplies).
The MBM methodology was developed by the Federal/Provincial/Territorial Working Group on Social Development Research and Information for Human Resources Development Canada (HRDC).
Release date: 2004-02-04
Reference (4)
Reference (4) ((4 results))
- Surveys and statistical programs – Documentation: 62F0026M2004003Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13 - Surveys and statistical programs – Documentation: 92-390-XDescription:
This report includes a definition of the 2001 place of work concept and the place of work geography, standard text on data collection and coverage (including data collection methods, special coverage studies, sampling and weighting, edit and follow-up, coverage and content considerations). Both standard and subject-matter specific text pieces are also included for data assimilation (automated as well as interactive coding), edit and imputation and data evaluation. Finally, this technical report includes a section on historical comparability.
Release date: 2004-08-26 - Surveys and statistical programs – Documentation: 92-383-XDescription:
This report discusses various aspects of the quality of data on mother tongue, language spoken at home, knowledge of language and language at work. In the 2001 Census questionnaire, there are five questions on these four language categories. These questions, complemented by questions on ethnicity, religious affiliation and immigration, provide an opportunity to study linguistic and cultural characteristics of Canadians. These questions on languages are designed to collect the demolinguistic data. Demolinguistics, a subdiscipline of demography (not of linguistics), involves the demographic analysis of data on languages. Such analysis is useful for our understanding of, for instance, the linguistic diversity of Canadians, the evolution of language groups, or the transmission of mother tongue between generations. For each of the four categories of language questions mentioned above, the report describes briefly the procedures of data collection, some aspects of coverage, the processing stages of the data verification operation and the procedures used for editing and imputing the language variables. Finally, a description on how the data were evaluated will be presented.
Release date: 2004-01-27 - Surveys and statistical programs – Documentation: 92-384-XDescription:
This report provides information on various aspects of the data on mobility and migration. It provides a review of the questions, concepts and definitions, along with a discussion of limitations inherent in the measurement of one-year and five-year mobility and migration in the censuses of Canada. Some background is provided on the processing of mobility data, from collection through to retrieval. The historical comparability of mobility and migration data from 1961 to 2001 is examined in terms of conceptual and processing changes. The analysis of the quality of 2001 data focuses mainly on the quality at the national and provincial level. Where possible, the five-year data and the one-year data are discussed separately.
Release date: 2004-01-27
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