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All (150) (0 to 10 of 150 results)

  • Journals and periodicals: 11-632-X
    Description:

    The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.

    Release date: 2021-06-17

  • Stats in brief: 89-20-00062021003
    Description:

    In this video, viewers will learn the differences between three types of measure: proportions, ratios, and rates. In addition, viewers by the end of this video will be able to determine how each measure is calculated and when it is best to use one measure rather than the other.

    Release date: 2021-05-03

  • Articles and reports: 18-001-X2020001
    Description:

    This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.

    Release date: 2021-02-15

  • Surveys and statistical programs – Documentation: 11-633-X2021002
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2021-02-01

  • Articles and reports: 62F0026M2020001
    Description:

    Since the 2010 Survey of Household Spending redesign, statistics on the annual proportion of households reporting expenditures and the annual average expenditure per reporting household have not been available for many good and service categories. To help fill this data gap for users, a statistical model was developed in order to produce approximations of these statistics. This product consists of data tables and a user guide.

    Release date: 2021-01-07

  • Articles and reports: 12-001-X202000200003
    Description:

    We combine weighting and Bayesian prediction in a unified approach to survey inference. The general principles of Bayesian analysis imply that models for survey outcomes should be conditional on all variables that affect the probability of inclusion. We incorporate all the variables that are used in the weighting adjustment under the framework of multilevel regression and poststratification, as a byproduct generating model-based weights after smoothing. We improve small area estimation by dealing with different complex issues caused by real-life applications to obtain robust inference at finer levels for subdomains of interest. We investigate deep interactions and introduce structured prior distributions for smoothing and stability of estimates. The computation is done via Stan and is implemented in the open-source R package rstanarm and available for public use. We evaluate the design-based properties of the Bayesian procedure. Simulation studies illustrate how the model-based prediction and weighting inference can outperform classical weighting. We apply the method to the New York Longitudinal Study of Wellbeing. The new approach generates smoothed weights and increases efficiency for robust finite population inference, especially for subsets of the population.

    Release date: 2020-12-15

  • Articles and reports: 12-001-X202000200004
    Description:

    This article proposes a weight scaling method for Firth’s penalized likelihood for proportional hazards regression models. The method derives a relationship between the penalized likelihood that uses scaled weights and the penalized likelihood that uses unscaled weights, and it shows that the penalized likelihood that uses scaled weights have some desirable properties. A simulation study indicates that the penalized likelihood using scaled weights produces smaller biases in point estimates and standard errors than the biases produced by the penalized likelihood using unscaled weights. The weighted penalized likelihood is applied to estimate hazard rates for heart attacks by using a public-use data set from the National Health and Epidemiology Followup Study (NHEFS). SAS® statements to estimate hazard rates using data from complex surveys are given in the appendix.

    Release date: 2020-12-15

  • 36-23-0001
    Description:

    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 Gross Domestic Product (GDP), which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. The model also includes estimates of the impacts on energy use (expressed in terajoules) and greenhouse gas emissions (carbon dioxide equivalent, expressed in kilotonnes). IO price, energy, and tax models may also be available depending on the availability of resources. For more details, ask us for the Guide to using the input-output simulation model, available upon request.

    Release date: 2020-11-23

  • 36-23-0002
    Description:

    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 Gross Domestic Product (GDP), which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. The model also includes an estimate of the impact on interprovincial trade flows. IO price, energy, and tax models may also be available depending on the availability of resources. For more details, ask us for the Guide to using the input-output simulation model, available upon request.

    Release date: 2020-11-23

  • Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29
Data (1)

Data (1) ((1 result))

  • Public use microdata: 12M0022X
    Description:

    This package was designed to enable users to access and manipulate the microdata file for Cycle 22 (2008) of the General Social Survey (GSS). It contains information on the objectives, methodology and estimation procedures, as well as guidelines for releasing estimates based on the survey. Cycle 22 collected data from persons 15 years and over living in private households in Canada, excluding residents of the Yukon, Northwest Territories and Nunavut; and full-time residents of institutions. The survey covered a range of topics such as social networks, and social and civic participation. Information was also collected on major changes in respondents' lives in the last 12 months, the resources they used during these transitions and unmet needs for help. Questions were also asked on trust, sense of belonging, volunteering and unpaid work.

    Release date: 2010-03-05
Analysis (125)

Analysis (125) (0 to 10 of 125 results)

  • Journals and periodicals: 11-632-X
    Description:

    The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.

    Release date: 2021-06-17

  • Stats in brief: 89-20-00062021003
    Description:

    In this video, viewers will learn the differences between three types of measure: proportions, ratios, and rates. In addition, viewers by the end of this video will be able to determine how each measure is calculated and when it is best to use one measure rather than the other.

    Release date: 2021-05-03

  • Articles and reports: 18-001-X2020001
    Description:

    This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.

    Release date: 2021-02-15

  • Articles and reports: 62F0026M2020001
    Description:

    Since the 2010 Survey of Household Spending redesign, statistics on the annual proportion of households reporting expenditures and the annual average expenditure per reporting household have not been available for many good and service categories. To help fill this data gap for users, a statistical model was developed in order to produce approximations of these statistics. This product consists of data tables and a user guide.

    Release date: 2021-01-07

  • Articles and reports: 12-001-X202000200003
    Description:

    We combine weighting and Bayesian prediction in a unified approach to survey inference. The general principles of Bayesian analysis imply that models for survey outcomes should be conditional on all variables that affect the probability of inclusion. We incorporate all the variables that are used in the weighting adjustment under the framework of multilevel regression and poststratification, as a byproduct generating model-based weights after smoothing. We improve small area estimation by dealing with different complex issues caused by real-life applications to obtain robust inference at finer levels for subdomains of interest. We investigate deep interactions and introduce structured prior distributions for smoothing and stability of estimates. The computation is done via Stan and is implemented in the open-source R package rstanarm and available for public use. We evaluate the design-based properties of the Bayesian procedure. Simulation studies illustrate how the model-based prediction and weighting inference can outperform classical weighting. We apply the method to the New York Longitudinal Study of Wellbeing. The new approach generates smoothed weights and increases efficiency for robust finite population inference, especially for subsets of the population.

    Release date: 2020-12-15

  • Articles and reports: 12-001-X202000200004
    Description:

    This article proposes a weight scaling method for Firth’s penalized likelihood for proportional hazards regression models. The method derives a relationship between the penalized likelihood that uses scaled weights and the penalized likelihood that uses unscaled weights, and it shows that the penalized likelihood that uses scaled weights have some desirable properties. A simulation study indicates that the penalized likelihood using scaled weights produces smaller biases in point estimates and standard errors than the biases produced by the penalized likelihood using unscaled weights. The weighted penalized likelihood is applied to estimate hazard rates for heart attacks by using a public-use data set from the National Health and Epidemiology Followup Study (NHEFS). SAS® statements to estimate hazard rates using data from complex surveys are given in the appendix.

    Release date: 2020-12-15

  • Articles and reports: 82-003-X202000700002
    Description:

    This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.

    Release date: 2020-07-29

  • Articles and reports: 62F0014M2020008
    Description:

    This document describes the methodology and data source for the provincial monthly average retail prices table. This supplement also explains the difference between the Consumer Price Index and average retail prices in context of inflation.

    Release date: 2020-06-10

  • Articles and reports: 13-605-X201900100009
    Description:

    In this paper a preliminary set of statistical estimates of the amounts invested in Canadian data, databases and data science in recent years are presented. The results indicate rapid growth in investment in data, databases and data science over the last three decades and a significant accumulation of these kinds of capital over time.

    Release date: 2019-07-10

  • Articles and reports: 13-605-X201900100008
    Description:

    This paper aims to expand the current national accounting concepts and statistical methods for measuring data in order to shed light on some highly consequential changes in society that are related to the rising usage of data. The paper concludes by discussing possible methods that can be used to assign an economic value to the various elements in the information chain and tests these concepts and methods by presenting results for Canada as a first attempt to measure the value of data.

    Release date: 2019-06-24
Reference (21)

Reference (21) (0 to 10 of 21 results)

  • Surveys and statistical programs – Documentation: 11-633-X2021002
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2021-02-01

  • Surveys and statistical programs – Documentation: 75F0002M2020001
    Description:

    This note provides the definition of a first-time homebuyer concept used in the 2018 Canadian Housing Survey (CHS). It also includes the methodology used to identify first-time homebuyers and provides sensitivity analysis under alternative methodologies.

    Release date: 2020-01-15

  • Notices and consultations: 95-635-X
    Description:

    To stay relevant, preparing for a new Census of Agriculture requires a thorough evaluation of data requirements. Before each census, Statistics Canada conducts consultations to solicit input and feedback on the Census of Agriculture's content. This report describes those consultations and the process that was followed to test and determine which topics could be potentially retained for the next census.

    Release date: 2019-10-02

  • 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: 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

  • Surveys and statistical programs – Documentation: 15F0009X
    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 interprovincial IO model was not released in 2015 or 2016.

    Release date: 2019-04-04

  • Surveys and statistical programs – Documentation: 11-633-X2018019
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2018-12-10

  • Surveys and statistical programs – Documentation: 11-633-X2018011
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers.

    This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2018-01-08

  • Surveys and statistical programs – Documentation: 98-304-X
    Description:

    The Guide to the Census of Population is a reference document that describes the various phases of the Census of Population. It provides an overview of 2016 Census content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination. It also includes response rates and other data quality information. This product may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2016 Census of Population.

    The Guide to the Census of Population combines information previously available in the Overview of the Census, National Household Survey User Guide and the Data Quality and Confidentiality Standards and Guidelines from 2011.

    Release date: 2017-11-29

  • Notices and consultations: 92-140-X
    Description:

    Before each Census of Population, Statistics Canada carries out a three- to four-year process to review the content of the census questionnaires in consultation with census data users, performing tests and developing questionnaire content to ensure that it takes into account the evolution of Canadian society. Factors considered in developing the content include legislative requirements regarding information, program and policy requirements; the burden placed on respondents to respond to questions; concerns about privacy; feedback from consultations and tests; data quality; costs and operational considerations; the comparability of data with earlier data and the availability of alternative data sources. Before each census, Statistics Canada tests the questionnaire content through an extensive test. The content report presents the analyses conducted from the data collected from this test and the results that are used to fine tune the questionnaires, the methodology and the systems used for the Census Program.

    Release date: 2016-04-01
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