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  • Surveys and statistical programs – Documentation: 72-212-X2019001
    Description:

    Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.

    Release date: 2019-07-11

  • Surveys and statistical programs – Documentation: 72-212-X
    Description:

    Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.

    Release date: 2019-07-11

  • Surveys and statistical programs – Documentation: 99-011-X
    Description:

    This topic presents data on the Aboriginal peoples of Canada and their demographic characteristics. Depending on the application, estimates using any of the following concepts may be appropriate for the Aboriginal population: (1) Aboriginal identity, (2) Aboriginal ancestry, (3) Registered or Treaty Indian status and (4) Membership in a First Nation or Indian band. Data from the 2011 National Household Survey are available for the geographical locations where these populations reside, including 'on reserve' census subdivisions and Inuit communities of Inuit Nunangat as well as other geographic areas such as the national (Canada), provincial and territorial levels.

    Analytical products

    The analytical document provides analysis on the key findings and trends in the data, and is complimented with the short articles found in NHS in Brief and the NHS Focus on Geography Series.

    Data products

    The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

    Release date: 2019-06-28

  • Surveys and statistical programs – Documentation: 75-514-G2019001
    Description:

    The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

    Release date: 2019-06-18

  • Surveys and statistical programs – Documentation: 75-514-G
    Description:

    The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

    Release date: 2019-06-18

  • Surveys and statistical programs – Documentation: 45-20-00012019002
    Description:

    The User Guide for the Canadian Index of Multiple Deprivation (CIMD) outlines uses for the index, as well as it provides a brief description of the methodology behind the development of the index. This User Guide also provides instructions on how to use the index, and lists considerations when using the CIMD data.

    Release date: 2019-06-12

  • Surveys and statistical programs – Documentation: 45-20-0001
    Description:

    The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.

    The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

    Release date: 2019-06-12

  • Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description:

    This document presents the methodology underlying the production of the life tables for Canada, provinces and territories, from reference period 1980/1982 and onward.

    Release date: 2019-05-30

  • Surveys and statistical programs – Documentation: 11-633-X2019001
    Description:

    The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

    Release date: 2019-05-29

  • Surveys and statistical programs – Documentation: 15F0004X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The national IO model was not released in 2015 or 2016.

    Release date: 2019-04-04
Data (1)

Data (1) ((1 result))

  • Surveys and statistical programs – Documentation: 45-20-0001
    Description:

    The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.

    The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

    Release date: 2019-06-12
Analysis (47)

Analysis (47) (0 to 10 of 47 results)

  • Surveys and statistical programs – Documentation: 75F0002M1992001
    Description:

    Starting in 1994, the Survey of Labour and Income Dynamics (SLID) will follow individuals and families for at least six years, tracking their labour market experiences, changes in income and family circumstances. An initial proposal for the content of SLID, entitled "Content of the Survey of Labour and Income Dynamics : Discussion Paper", was distributed in February 1992.

    That paper served as a background document for consultation with and a review by interested users. The content underwent significant change during this process. Based upon the revised content, a large-scale test of SLID will be conducted in February and May 1993.

    The present document outlines the income and wealth content to be tested in May 1993. This document is really a continuation of SLID Research Paper Series 92-01A, which outlines the demographic and labour content used in the January /February 1993 test.

    Release date: 2008-02-29

  • Surveys and statistical programs – Documentation: 12-001-X19980024347
    Description:

    We review the current status of various aspects of the design and analysis of studies where the same units are investigated at several points in time. These studies include longitudinal surveys, and longitudinal analyses of retrospective studies and of administrative or census data. The major focus is the special problems posed by the longitudinal nature of the study. We discuss four of the major components of longitudinal studies in general; namely, Design, Implementation, Evaluation and Analysis. Each of these components requires special considerations when planning a longitudinal study. Some issues relating to the longitudinal nature of the studies are: concepts and definitions, frames, sampling, data collection, nonresponse treatment, imputation, estimation, data validation, data analysis and dissemination. Assuming familiarity with the basic requirements for conducting a cross-sectional survey, we highlight the issues and problems that become apparent for many longitudinal studies.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024348
    Description:

    Gross flows among labour force states are of great importance in understanding labour market dynamics. Observed flows are typically subject to classification errors, which may induce serious bias. In this paper, some of the most common strategies, used to collect longitudinal information about labour force condition are reviewed, jointly with the modelling approaches developed to correct gross flows, when affected by classification errors. A general framework for estimating gross flows is outlined. Examples are given of different model specifications, applied to data collected with different strategies. Specifically, two cases are considered, i.e., gross flows from (i) the U.S. Survey of Income and Program Participation and (ii) the French Labour Force Survey, a yearly survey collecting retrospective monthly information.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024349
    Description:

    Measurement of gross flows in labour force status is an important objective of the continuing labour force surveys carried out by many national statistics agencies. However, it is well known that estimation of these flows can be complicated by nonresponse, measurement errors, sample rotation and complex design effects. Motivated by nonresponse patterns in household-based surveys, this paper focuses on estimation of labour force gross flows, while simultaneously adjusting for nonignorable nonresponse. Previous model-based approaches to gross flows estimation have assumed nonresponse to be an individual-level process. We propose a class of models that allow for nonignorable household-level nonresponse. A simulation study is used to show, that individual-level labour force gross flows estimates from household-based survey data, may be biased and that estimates using household-level models can offer a reduction in this bias.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024350
    Description:

    In longitudinal surveys, simple estimates of change, such as differences of percentages may not always be efficient enough to detect changes of practical relevance, especially in sub-populations. The use of models, which can represent the dependence structure of the longitudinal survey, can help to solve this problem. One of the main characteristics observed by the Swiss Labour Force Survey (SLFS) is the employment status. As the survey is designed as a rotating panel, the data from the SLFS are multivariate categorical data, where a large proportion of the response profiles are missing by design. The multivariate logistic model, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is attractive in this context, since it allows for dependent repeated observations and incomplete response profiles. We show that, using multivariate logistic regression, we can represent the complex dependence structure of the SLFS by a small number of parameters, and obtain more efficient estimates of change.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024351
    Description:

    To calculate price indexes, data on "the same item" (actually a collection of items narrowly defined) must be collected across time periods. The question arises whether such "quasi-longitudinal" data can be modeled in such a way as to shed light on what a price index is. Leading thinkers on price indexes have questioned the feasibility of using statistical modeling at all for characterizing price indexes. This paper suggests a simple state space model of price data, yielding a consumer price index that is given in terms of the parameters of the model.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024352
    Description:

    The National Population Health Survey (NPHS) is one of Statistics Canada's three major longitudinal household surveys providing an extensive coverage of the Canadian population. A panel of approximately 17,000 people are being followed up every two years for up to twenty years. The survey data are used for longitudinal analyses, although an important objective is the production of cross-sectional estimates. Each cycle panel respondents provide detailed health information (H) while, to augment the cross-sectional sample, general socio-demographic and health information (G) are collected from all members of their households. This particular collection strategy presents several observable response patterns for Panel Members after two cycles: GH-GH, GH-G*, GH-**, G*-GH, G*-G* and G*-**, where "*" denotes a missing portion of data. The article presents the methodology developed to deal with these types of longitudinal nonresponse as well as with nonresponse from a cross-sectional perspective. The use of weight adjustments for nonresponse and the creation of adjustment cells for weighting using a CHAID algorithm are discussed.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024353
    Description:

    This paper studies response errors in the Current Population Survey of the U.S. Bureau of the Census and assesses their impact on the unemployment rates published by the Bureau of Labour Statistics. The measurement of these error rates is obtained from reinterview data, using an extension of the Hui and Walter (1980) procedure for the evaluation of diagnostic tests. Unlike prior studies which assumed that the reconciled reinterview yields the true status, the method estimates the error rates in both interviews. Using these estimated error rates, we show that the misclassification in the original survey creates a cyclical effect on the reported estimated unemployment rates. In particular, the degress of underestimation increases when true unemployment is high. As there was insufficient data to distinguish between a model assuming that the misclassification rates are the same throughout the business cycle, and one that allows the error rates to differ in periods of low, moderate and high unemployment, our findings should be regarded as preliminary. Nonetheless, they indicated that the relationship between the models used to assess the accuracy of diagnostic tests, and those measuring misclassification rates of survey data, deserves further study.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024354
    Description:

    This article deals with an attempt to cross-tabulate two categorical variables, which were separately collected from two large independent samples, and jointly collected from one small sample. It was assumed that the large samples have a large set of common variables. The proposed estimation technique can be considered a mix between calibration techniques and statistical matching. Through calibration techniques, it is possible to incorporate the complex designs of the samples in the estimation procedure, to fulfill some consistency requirements between estimates from various sources, and to obtain fairly unbiased estimates for the two-way table. Through the statistical matching techniques, it is possible to incorporate a relatively large set of common variables in the calibration estimation, by means of which the precision of the estimated two-way table can be improved. The estimation technique enables us to gain insight into the bias generally obtained, in estimating the two-way table, by sole use of the large samples. It is shown how the estimation technique can be useful to impute values of the one large sample (donor source) into the other large sample (host source). Although the technique is principally developed for catagorical variables Y and Z, with a minor modification, it is also applicable for continuous variables Y and Z.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980024355
    Description:

    Two sampling strategies have been proposed for estimating the finite population total for the most recent occasion, based on the samples selected over two occasions involving varying probability sampling schemes. Attempts have been made to utilize the data collected on a study variable, in the first occasion, as a measure of size and a stratification variable for selection of the matched-sample on the second occasion. Relative efficiencies of the proposed strategies have been compared with suitable alternatives.

    Release date: 1999-01-14
Reference (1,589)

Reference (1,589) (0 to 10 of 1,589 results)

  • Surveys and statistical programs – Documentation: 72-212-X2019001
    Description:

    Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.

    Release date: 2019-07-11

  • Surveys and statistical programs – Documentation: 72-212-X
    Description:

    Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.

    Release date: 2019-07-11

  • Surveys and statistical programs – Documentation: 99-011-X
    Description:

    This topic presents data on the Aboriginal peoples of Canada and their demographic characteristics. Depending on the application, estimates using any of the following concepts may be appropriate for the Aboriginal population: (1) Aboriginal identity, (2) Aboriginal ancestry, (3) Registered or Treaty Indian status and (4) Membership in a First Nation or Indian band. Data from the 2011 National Household Survey are available for the geographical locations where these populations reside, including 'on reserve' census subdivisions and Inuit communities of Inuit Nunangat as well as other geographic areas such as the national (Canada), provincial and territorial levels.

    Analytical products

    The analytical document provides analysis on the key findings and trends in the data, and is complimented with the short articles found in NHS in Brief and the NHS Focus on Geography Series.

    Data products

    The NHS Profile is one data product that provides a statistical overview of user selected geographic areas based on several detailed variables and/or groups of variables. Other data products include data tables which represent a series of cross tabulations ranging in complexity and are available for various levels of geography.

    Release date: 2019-06-28

  • Surveys and statistical programs – Documentation: 75-514-G2019001
    Description:

    The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

    Release date: 2019-06-18

  • Surveys and statistical programs – Documentation: 75-514-G
    Description:

    The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

    Release date: 2019-06-18

  • Surveys and statistical programs – Documentation: 45-20-00012019002
    Description:

    The User Guide for the Canadian Index of Multiple Deprivation (CIMD) outlines uses for the index, as well as it provides a brief description of the methodology behind the development of the index. This User Guide also provides instructions on how to use the index, and lists considerations when using the CIMD data.

    Release date: 2019-06-12

  • Surveys and statistical programs – Documentation: 45-20-0001
    Description:

    The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.

    The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.

    Release date: 2019-06-12

  • Surveys and statistical programs – Documentation: 84-538-X
    Geography: Canada
    Description:

    This document presents the methodology underlying the production of the life tables for Canada, provinces and territories, from reference period 1980/1982 and onward.

    Release date: 2019-05-30

  • Surveys and statistical programs – Documentation: 11-633-X2019001
    Description:

    The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

    Release date: 2019-05-29

  • Surveys and statistical programs – Documentation: 15F0004X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The national IO model was not released in 2015 or 2016.

    Release date: 2019-04-04
Date modified: