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All (198) (0 to 10 of 198 results)

  • 19-22-0003
    Description:

    This webinar will provide you with an introduction to the Canadian Statistical Geospatial Explorer (CSGE). This interactive mapping tool was designed at Statistics Canada to give users the ability to explore our data, create custom maps and download geo-enabled data into users' own workflows. The CSGE allows users to visualize data at granular levels such as dissemination areas and other geographies like provinces/territories and health regions. The CSGE includes a range of COVID-19 relevant indicators on health, demographic profile and socio-economic conditions of the Canadian population, all derived from Statistics Canada data holdings.

    The webinar covers basic functionalities of the Canadian Statistical Geospatial Explorer such as: finding and exploring data; exporting data in various formats and bringing it into your workflow; customizing maps; and changing base maps (satellite imagery, topography, etc.) to view data in a different context.

    https://www.statcan.gc.ca/eng/services/webinars/19220003

    Release date: 2020-05-11

  • Data Visualization: 71-607-X2020010
    Description:

    The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.

    Release date: 2020-04-23

  • Journals and periodicals: 11-633-X
    Description: Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.
    Release date: 2020-01-21

  • Articles and reports: 12-001-X201900300009
    Description:

    We discuss a relevant inference for the alpha coefficient (Cronbach, 1951) - a popular ratio-type statistic for the covariances and variances in survey sampling including complex survey sampling with unequal selection probabilities. This study can help investigators who wish to evaluate various psychological or social instruments used in large surveys. For the survey data, we investigate workable confidence intervals by using two approaches: (1) the linearization method using the influence function and (2) the coverage-corrected bootstrap method. The linearization method provides adequate coverage rates with correlated ordinal values that many instruments consist of; however, this method may not be as good with some non-normal underlying distributions, e.g., a multi-lognormal distribution. We suggest that the coverage-corrected bootstrap method can be used as a complement to the linearization method, because the coverage-corrected bootstrap method is computer-intensive. Using the developed methods, we provide the confidence intervals for the alpha coefficient to assess various mental health instruments (Kessler 10, Kessler 6 and Sheehan Disability Scale) for different demographics using data from the National Comorbidity Survey Replication (NCS-R).

    Release date: 2019-12-17

  • Data Visualization: 71-607-X2019010
    Description:

    The Housing Data Viewer is a visualization tool that allows users to explore Statistics Canada data on a map. Users can use the tool to navigate, compare and export data.

    Release date: 2019-10-30

  • 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

  • Articles and reports: 11-633-X2019002
    Description:

    Survey data collection through mobile devices, such as tablets and smartphones, is underway in Canada. However, little is known about the representativeness of the data collected through these devices. In March 2017, Statistics Canada commissioned survey data collection through the Carrot Rewards Application and included 11 questions on the Carrot Rewards Mobile App Survey (Carrot) drawn from the 2017 Canadian Community Health Survey (CCHS).

    Release date: 2019-06-04

  • Articles and reports: 11-633-X2018018
    Description:

    This paper describes the data sources and methods used to backcast provincial and territorial income-based gross domestic product (GDP), expenditure-based GDP, real gross domestic income, unemployment rates, depreciation rates and urbanization rates. Nevertheless, estimates can be produced that are very close and which are useful for understanding the evolution of the provincial and territorial economies. Instrumental variable techniques are used to estimate the historical movements of these economic variables back to 1950.

    Release date: 2018-11-02

  • Articles and reports: 11-633-X2018017
    Description:

    Understanding women’s business ownership and the performance of women-owned enterprises is important for designing policies to promote gender equality in leadership, economic empowerment of women and inclusive growth. However, evidence on business ownership by gender remains scarce because of the lack of comprehensive data. The study, Women-owned Enterprises in Canada (Grekou, Li and Liu, 2018), fills the data gap by identifying business ownership by gender using a newly developed administrative dataset—the Canadian Employer–Employee Dynamics Database (CEEDD). The dataset contains business owner information for all unincorporated enterprises and private corporations in Canada. This paper discusses the methodology adopted to establish the gender structure of business ownership. It then presents estimates of business ownership by gender (men or women majority ownership and equal ownership). Finally, it analyzes the sensitivity of these estimates and compares them with those calculated using other data sources.

    Release date: 2018-09-24
Data (2)

Data (2) ((2 results))

  • Data Visualization: 71-607-X2020010
    Description:

    The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.

    Release date: 2020-04-23

  • Data Visualization: 71-607-X2019010
    Description:

    The Housing Data Viewer is a visualization tool that allows users to explore Statistics Canada data on a map. Users can use the tool to navigate, compare and export data.

    Release date: 2019-10-30
Analysis (176)

Analysis (176) (0 to 10 of 176 results)

  • Journals and periodicals: 11-633-X
    Description: Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.
    Release date: 2020-01-21

  • Articles and reports: 12-001-X201900300009
    Description:

    We discuss a relevant inference for the alpha coefficient (Cronbach, 1951) - a popular ratio-type statistic for the covariances and variances in survey sampling including complex survey sampling with unequal selection probabilities. This study can help investigators who wish to evaluate various psychological or social instruments used in large surveys. For the survey data, we investigate workable confidence intervals by using two approaches: (1) the linearization method using the influence function and (2) the coverage-corrected bootstrap method. The linearization method provides adequate coverage rates with correlated ordinal values that many instruments consist of; however, this method may not be as good with some non-normal underlying distributions, e.g., a multi-lognormal distribution. We suggest that the coverage-corrected bootstrap method can be used as a complement to the linearization method, because the coverage-corrected bootstrap method is computer-intensive. Using the developed methods, we provide the confidence intervals for the alpha coefficient to assess various mental health instruments (Kessler 10, Kessler 6 and Sheehan Disability Scale) for different demographics using data from the National Comorbidity Survey Replication (NCS-R).

    Release date: 2019-12-17

  • 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

  • Articles and reports: 11-633-X2019002
    Description:

    Survey data collection through mobile devices, such as tablets and smartphones, is underway in Canada. However, little is known about the representativeness of the data collected through these devices. In March 2017, Statistics Canada commissioned survey data collection through the Carrot Rewards Application and included 11 questions on the Carrot Rewards Mobile App Survey (Carrot) drawn from the 2017 Canadian Community Health Survey (CCHS).

    Release date: 2019-06-04

  • Articles and reports: 11-633-X2018018
    Description:

    This paper describes the data sources and methods used to backcast provincial and territorial income-based gross domestic product (GDP), expenditure-based GDP, real gross domestic income, unemployment rates, depreciation rates and urbanization rates. Nevertheless, estimates can be produced that are very close and which are useful for understanding the evolution of the provincial and territorial economies. Instrumental variable techniques are used to estimate the historical movements of these economic variables back to 1950.

    Release date: 2018-11-02

  • Articles and reports: 11-633-X2018017
    Description:

    Understanding women’s business ownership and the performance of women-owned enterprises is important for designing policies to promote gender equality in leadership, economic empowerment of women and inclusive growth. However, evidence on business ownership by gender remains scarce because of the lack of comprehensive data. The study, Women-owned Enterprises in Canada (Grekou, Li and Liu, 2018), fills the data gap by identifying business ownership by gender using a newly developed administrative dataset—the Canadian Employer–Employee Dynamics Database (CEEDD). The dataset contains business owner information for all unincorporated enterprises and private corporations in Canada. This paper discusses the methodology adopted to establish the gender structure of business ownership. It then presents estimates of business ownership by gender (men or women majority ownership and equal ownership). Finally, it analyzes the sensitivity of these estimates and compares them with those calculated using other data sources.

    Release date: 2018-09-24

  • Articles and reports: 12-001-X201800154926
    Description:

    This paper investigates the linearization and bootstrap variance estimation for the Gini coefficient and the change between Gini indexes at two periods of time. For the one-sample case, we use the influence function linearization approach suggested by Deville (1999), the without-replacement bootstrap suggested by Gross (1980) for simple random sampling without replacement and the with-replacement of primary sampling units described in Rao and Wu (1988) for multistage sampling. To obtain a two-sample variance estimator, we use the linearization technique by means of partial influence functions (Goga, Deville and Ruiz-Gazen, 2009). We also develop an extension of the studied bootstrap procedures for two-dimensional sampling. The two approaches are compared on simulated data.

    Release date: 2018-06-21

  • Articles and reports: 11-633-X2018016
    Description:

    Record linkage has been identified as a potential mechanism to add treatment information to the Canadian Cancer Registry (CCR). The purpose of the Canadian Cancer Treatment Linkage Project (CCTLP) pilot is to add surgical treatment data to the CCR. The Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) were linked to the CCR, and surgical treatment data were extracted. The project was funded through the Cancer Data Development Initiative (CDDI) of the Canadian Partnership Against Cancer (CPAC).

    The CCTLP was developed as a feasibility study in which patient records from the CCR would be linked to surgical treatment records in the DAD and NACRS databases, maintained by the Canadian Institute for Health Information. The target cohort to whom surgical treatment data would be linked was patients aged 19 or older registered on the CCR (2010 through 2012). The linkage was completed in Statistics Canada’s Social Data Linkage Environment (SDLE).

    Release date: 2018-03-27

  • Articles and reports: 11-633-X2018014
    Description:

    The Canadian Mortality Database (CMDB) is an administrative database that collects information on cause of death from all provincial and territorial vital statistics registries in Canada. The CMDB lacks subpopulation identifiers to examine mortality rates and disparities among groups such as First Nations, Métis, Inuit and members of visible minority groups. Linkage between the CMDB and the Census of Population is an approach to circumvent this limitation. This report describes a linkage between the CMDB (2006 to 2011) and the 2006 Census of Population, which was carried out using hierarchical deterministic exact matching, with a focus on methodology and validation.

    Release date: 2018-02-14
Reference (27)

Reference (27) (0 to 10 of 27 results)

  • Surveys and statistical programs – Documentation: 91F0015M2016012
    Description:

    This article provides information on using family-related variables from the microdata files of Canada’s Census of Population. These files exist internally at Statistics Canada, in the Research Data Centres (RDCs), and as public-use microdata files (PUMFs). This article explains certain technical aspects of all three versions, including the creation of multi-level variables for analytical purposes.

    Release date: 2016-12-22

  • Surveys and statistical programs – Documentation: 11-522-X201700014710
    Description:

    The Data Warehouse has modernized the way the Canadian System of Macroeconomic Accounts (MEA) are produced and analyzed today. Its continuing evolution facilitates the amounts and types of analytical work that is done within the MEA. It brings in the needed element of harmonization and confrontation as the macroeconomic accounts move toward full integration. The improvements in quality, transparency, and timeliness have strengthened the statistics that are being disseminated.

    Release date: 2016-03-24

  • Notices and consultations: 75-513-X2014001
    Description:

    Starting with the 2012 reference year, annual individual and family income data is produced by the Canadian Income Survey (CIS). The CIS is a cross-sectional survey developed to provide information on the income and income sources of Canadians, along with their individual and household characteristics. The CIS reports on many of the same statistics as the Survey of Labour and Income Dynamics (SLID), which last reported on income for the 2011 reference year. This note describes the CIS methodology, as well as the main differences in survey objectives, methodology and questionnaires between CIS and SLID.

    Release date: 2014-12-10

  • Surveys and statistical programs – Documentation: 12-001-X201300111828
    Description:

    A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.

    Release date: 2013-06-28

  • Surveys and statistical programs – Documentation: 16-001-M2010014
    Description:

    Quantifying how Canada's water yield has changed over time is an important component of the water accounts maintained by Statistics Canada. This study evaluates the movement in the series of annual water yield estimates for Southern Canada from 1971 to 2004. We estimated the movement in the series using a trend-cycle approach and found that water yield for southern Canada has generally decreased over the period of observation.

    Release date: 2010-09-13

  • Surveys and statistical programs – Documentation: 11-533-X
    Description:

    This guide has been created especially for users needing a step-by-step review on how to find, read and use data, with quick tips on locating information on the Statistics Canada website. Originally published in paper format in the 1980s, revised as part of the 1994 Statistics Canada Catalogue, and then transformed into an electronic version, this guide is continually being updated to maintain its currency and usefulness.

    Release date: 2007-11-19

  • Surveys and statistical programs – Documentation: 81-595-M2007056
    Geography: Canada
    Description:

    This handbook discusses the collection and interpretation of statistical data on Canada's trade in culture services.

    Release date: 2007-10-31

  • Surveys and statistical programs – Documentation: 15-206-X2006004
    Description:

    This paper provides a brief description of the methodology currently used to produce the annual volume of hours worked consistent with the System of National Accounts (SNA). These data are used for labour input in the annual and quarterly measures of labour productivity, as well as in the annual measures of multifactor productivity. For this purpose, hours worked are broken down by educational level and age group, so that changes in the composition of the labour force can be taken into account. They are also used to calculate hourly compensation and the unit labour cost and for simulations of the SNA Input-Output Model; as such, they are integrated as labour force inputs into most SNA satellite accounts (i.e., environment, tourism).

    Release date: 2006-10-27

  • Surveys and statistical programs – Documentation: 62F0026M2005005
    Description:

    This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.

    Release date: 2005-07-15

  • Notices and consultations: 12-002-X20050018033
    Description:

    Dr. J. Douglas Willms, and his staff at the Canadian Research Institute for Social Policy (CRISP) at the University of New Brunswick (Fredericton Campus), have developed a set of files for researchers interested in using Statistics Canada's National Longitudinal Survey of Children and Youth (NLSCY) data sets. "The Files" consist of SPSS data and syntax, which are intended to assist researchers in conducting more efficient longitudinal analyses, using NLSCY data.

    Release date: 2005-06-23
Other (1)

Other (1) ((1 result))

  • 19-22-0003
    Description:

    This webinar will provide you with an introduction to the Canadian Statistical Geospatial Explorer (CSGE). This interactive mapping tool was designed at Statistics Canada to give users the ability to explore our data, create custom maps and download geo-enabled data into users' own workflows. The CSGE allows users to visualize data at granular levels such as dissemination areas and other geographies like provinces/territories and health regions. The CSGE includes a range of COVID-19 relevant indicators on health, demographic profile and socio-economic conditions of the Canadian population, all derived from Statistics Canada data holdings.

    The webinar covers basic functionalities of the Canadian Statistical Geospatial Explorer such as: finding and exploring data; exporting data in various formats and bringing it into your workflow; customizing maps; and changing base maps (satellite imagery, topography, etc.) to view data in a different context.

    https://www.statcan.gc.ca/eng/services/webinars/19220003

    Release date: 2020-05-11
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