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All (138) (0 to 10 of 138 results)

  • Articles and reports: 18-001-X2024001
    Description: This study applies small area estimation (SAE) and a new geographic concept called Self-contained Labor Area (SLA) to the Canadian Survey on Business Conditions (CSBC) with a focus on remote work opportunities in rural labor markets. Through SAE modelling, we estimate the proportions of businesses, classified by general industrial sector (service providers and goods producers), that would primarily offer remote work opportunities to their workforce.
    Release date: 2024-04-22

  • Articles and reports: 11-522-X202200100005
    Description: Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation.
    Release date: 2024-03-25

  • Articles and reports: 75-006-X202400100001
    Description: Using data from the Canadian Community Health Survey, this study examines men’s and women’s coverage for four types of drug insurance plans (government-sponsored, employer-sponsored, association-sponsored and private drug insurance plans), disaggregated by various socioeconomic, demographic and geographical factors. The study further examines the extent of cost-related medication non-adherence among men and women, disaggregated by type of drug insurance plan.
    Release date: 2024-01-10

  • Articles and reports: 41-20-00022023005
    Description: Using combined data from the Canadian Community Health Survey (CCHS) from 2017 to 2020, this study examines various indicators of access to primary health care providers (referred to as regular health care providers in the CCHS) and usual places of care among First Nations people living off reserve, Métis and Inuit. These indicators are explored by various socio-demographic characteristics, including sex, age, income, region, and remoteness.
    Release date: 2023-10-06

  • Articles and reports: 82-003-X202300600002
    Description: Traumatic brain injuries (TBIs) are a major public health concern impacting the lives of many Canadians. Among all TBIs, concussions are the most common. However, to date, the incidence of concussions among the Canadian population has remained unknown. To address this data surveillance gap, this study presents national estimates on the percentage of Canadians aged 12 years or older (excluding those living in the territories) who sustained one or more concussions in 2019.
    Release date: 2023-06-21

  • Articles and reports: 75-006-X202200100012
    Description:

    Based on data from the Canadian Community Health Survey (CCHS) and the Canadian Census Health and Environment Cohort (CanCHEC), this study provides an understanding of suicide-related behaviours, namely suicide ideation and completed suicides, among Canadian immigrants.

    Release date: 2022-12-01

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Articles and reports: 62F0014M2022010
    Description: In 2021, Canada recorded its highest annual increase in the Consumer Price Index (CPI) since 1991, as global supply-chains felt the repercussions of the COVID-19 pandemic, transportation and supply disruptions, and rebounding energy prices – all alongside the effects of the climate crisis.

    This analysis uses price data from the Industrial Product Price Index (IPPI), the Wholesale Services Price Index (WSPI), the Retail Services Price Index (RSPI), and the CPI to detail how manufacturers price movement works it way through the supply-chain to ultimately inform the price consumers pay for beef.

    Release date: 2022-09-02

  • Stats in brief: 45-28-0001202200100007
    Description:

    This article uses administrative data from the Canada Emergency Response Benefit (CERB) program linked to the 2016 long-form Census to examine socio-economic characteristics of Indigenous workers who received the benefit between March and September 2020. Proportions of workers who received payment are presented by age group, sex, province or region, industry of employment, income and size of business as well as for First Nations, Métis and Inuit workers separately.

    Release date: 2022-08-03
Stats in brief (14)

Stats in brief (14) (0 to 10 of 14 results)

  • Stats in brief: 89-20-00062022004
    Description:

    Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.

    As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.

    Release date: 2022-10-17

  • Stats in brief: 89-20-00062022005
    Description:

    In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?

    Release date: 2022-10-17

  • Stats in brief: 45-28-0001202200100007
    Description:

    This article uses administrative data from the Canada Emergency Response Benefit (CERB) program linked to the 2016 long-form Census to examine socio-economic characteristics of Indigenous workers who received the benefit between March and September 2020. Proportions of workers who received payment are presented by age group, sex, province or region, industry of employment, income and size of business as well as for First Nations, Métis and Inuit workers separately.

    Release date: 2022-08-03

  • Stats in brief: 45-28-0001202200100001
    Description:

    This article examines some of the effects of COVID-19 on rural businesses in Canada, with comparison to urban counterparts by industry for contextual support. Topics include business obstacles, expectations for the next year, workforce changes and other subjects from the Canadian Survey on Business Conditions, fourth quarter of 2021.

    Release date: 2022-01-12

  • Stats in brief: 45-28-0001202100100038
    Description:

    This article examines some of the effects of COVID-19 on rural businesses in Canada, with comparison to urban counterparts by industry for contextual support. Topics include business obstacles, expectations for the next year, workforce changes and other subjects from the Canadian Survey on Business Conditions, third quarter of 2021.

    Release date: 2021-10-18

  • Stats in brief: 45-28-0001202100100018
    Description:

    Colorectal cancer screening, along with other health care services, was suspended in Canada in the initial phase of the COVID-19 pandemic response. This pause was deemed necessary to allow health care facilities to establish appropriate infection-control measures to prevent COVID-19 outbreaks and to reserve health system capacity for COVID-19 patients. The current article projects the impact of a three-month suspension of screening for colorectal cancer using a fecal test for average-risk individuals, and compares strategies to minimize the harm from screening interruptions. The projections come from OncoSim, a cancer microsimulation model co-developed by Statistics Canada and the Canadian Partnership Against Cancer.

    Release date: 2021-06-17

  • Stats in brief: 45-28-0001202100100004
    Description:

    The risks of mortality due to COVID-19 have been found to be higher for some Canadians (e.g., older population, especially those living in long term care residences, etc.). For Canadians living in close quarters there could also be an increased risk. This article examines the rate of mortality due to COVID-19 associated with people living in different types of private dwellings in Quebec and Ontario. Additionally, the size of the household and the living arrangements are also explored among individuals.

    Release date: 2021-04-13

  • Stats in brief: 11-627-M2020088
    Description:

    Using a custom tabulation of data from the Monthly Retail Trade Survey, this infographic provides a graphical analysis of retail e-commerce vs. in-store sales for selected industries in response to the COVID-19 pandemic.

    Release date: 2021-02-05

  • Stats in brief: 45-28-0001202000100082
    Description:

    This article examines how the self-reported health and mental health of people with long-term health conditions or disabilities has changed since the start of the COVID-19 pandemic explored by age, sex and type of reported difficulty. Additionally, the rates of health service disruptions are explored by type of service and region.

    Release date: 2020-10-07

  • Stats in brief: 45-28-0001202000100067
    Description:

    This article presents an impact analysis and 2020 outlook for the For-hire Motor Carrier Freight Services Price Index (FHMCFSPI) amid the COVID-19 pandemic. The FHMCFSPI represents the change in the price of for-hire motor carrier freight services, which are services of goods transportation provided by the trucking industry.

    Release date: 2020-08-17
Articles and reports (122)

Articles and reports (122) (20 to 30 of 122 results)

  • Articles and reports: 36-28-0001202100500006
    Description:

    While there are many studies that examine the relationships between neighbourhood characteristics and health outcomes, and between neighbourhood characteristics and neighbourhood satisfaction, the relationship between neighbourhood characteristics and subjective well-being, particularly life satisfaction, has received much less attention. The objective of this study is to fill this gap in order to help inform neighbourhood-based policy aimed at increasing well-being that is receiving increased attention.

    Release date: 2021-05-26

  • Articles and reports: 36-28-0001202100400006
    Description:

    Different sectors of the economy present different levels of risk of exposure to the coronavirus. Information about this risk may be important for evidence-based decision-making about how and when to impose or ease restrictions on businesses. To respond to this need, a network of academic researchers across Canada developed a new tool to measure the risk of COVID-19 exposure by occupation, and the importance of different sectors to the economy.

    Release date: 2021-04-28

  • Articles and reports: 89-28-0001201800100020
    Description:

    International Women’s Day is an opportunity to put a spotlight on the contributions of women to our country. Canada is home to many diverse population groups who enrich our society in a variety of ways. The ongoing COVID-19 pandemic highlights the many ways these groups strengthen our society. Unfortunately, it has also created new challenges, particularly for women, as they have faced increased work at home and significant losses in the labour market. Several recent publications detail the impact of COVID-19 on women and how women are adjusting to these challenges.

    Release date: 2021-03-08

  • Articles and reports: 36-28-0001202100100004
    Description:

    In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

    Release date: 2021-01-27

  • Articles and reports: 62F0014M2020005
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic. This analysis includes Canadian grocery sales up to April 11.

    Release date: 2020-05-11

  • Articles and reports: 62F0014M2020004
    Description:

    An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic.

    Release date: 2020-04-08

  • Articles and reports: 11F0019M2020006
    Description:

    This paper examines the role of firm characteristics in accounting for the between-firm average employment earnings dispersion in the Canadian business sector between 2002 and 2015. It uses two decomposition methods to analyze the level of and changes in the between-firm average employment earnings dispersion by firm characteristics, such as productivity, globalization status (importing, exporting, foreign ownership), technology intensity, firm size, firm age, industry and geographic region.

    Release date: 2020-02-20

  • Articles and reports: 11-633-X2020001
    Description:

    This paper reviews alternative measures of income mixing within geographic units and applies them using geographically detailed income data derived from tax records. It highlights the characteristics of these measures, particularly their ease of interpretation and their suitability to decomposition across different levels of analysis, from neighbourhoods to individual apartment buildings. The discussion focuses on three measures: the dissimilarity index, the information theory index and the divergence index (D-index). Particular emphasis is placed on the D-index because it most effectively describes how income distributions at the sub-metropolitan level (e.g., neighbourhoods) differ from distributions at the metropolitan level (i.e., how much income sorting occurs across neighbourhoods). Furthermore, the D-index can consistently measure the contributions of income sorting within neighbourhoods (e.g., across individual apartment buildings) to the degree of income mixing at the neighbourhood and metropolitan scales.

    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: 12-001-X201900200001
    Description:

    Development of imputation procedures appropriate for data with extreme values or nonlinear relationships to covariates is a significant challenge in large scale surveys. We develop an imputation procedure for complex surveys based on semiparametric quantile regression. We apply the method to the Conservation Effects Assessment Project (CEAP), a large-scale survey that collects data used in quantifying soil loss from crop fields. In the imputation procedure, we first generate imputed values from a semiparametric model for the quantiles of the conditional distribution of the response given a covariate. Then, we estimate the parameters of interest using the generalized method of moments (GMM). We derive the asymptotic distribution of the GMM estimators for a general class of complex survey designs. In simulations meant to represent the CEAP data, we evaluate variance estimators based on the asymptotic distribution and compare the semiparametric quantile regression imputation (QRI) method to fully parametric and nonparametric alternatives. The QRI procedure is more efficient than nonparametric and fully parametric alternatives, and empirical coverages of confidence intervals are within 1% of the nominal 95% level. An application to estimation of mean erosion indicates that QRI may be a viable option for CEAP.

    Release date: 2019-06-27
Journals and periodicals (2)

Journals and periodicals (2) ((2 results))

  • Journals and periodicals: 15-548-X
    Description:

    This document describes all aspects of output-based Gross Domestic Product (GDP), also known as GDP by industry or simply monthly GDP. It contains a comprehensive record of specific methodologies and data sources, on an industry by industry basis.

    It is meant to complement a previous Statistics Canada publication, released in November 2002, entitled Gross Domestic Product by Industry, Sources and Methods (Catalogue no. 15-547), which discusses in general terms the concepts, definitions, classifications and statistical methods underlying the monthly GDP measures.

    Release date: 2006-02-28

  • Journals and periodicals: 89F0117X
    Geography: Canada
    Description:

    This report outlines some initial results from the School Component of the first and second cycles of the National Longitudinal Survey of Children and Youth (NLSCY). It examines the longitudinal influence of Early Childhood Care and Education and literacy activities on young children's future academic and cognitive outcomes. This overview highlights the information newly available from this component of the survey; it is not comprehensive in its coverage or its analysis. Indeed, the information collected by the NLSCY is so rich and detailed that researchers and analysts will be using it to address a variety of important questions concerning the education of children and youth in Canada for many years to come. Here then, we are merely scratching the surface to stimulate awareness of this rich new data source, and to illustrate the kinds of analyses it makes possible.

    Release date: 1999-10-14
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