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All (28)
All (28) (0 to 10 of 28 results)
- 1. Rural insights from the Canada Emergency Wage Subsidy: October 25, 2020 to January 16, 2021 ArchivedStats in brief: 45-28-0001202100100040Description:
This article analyzes the Canada Emergency Wage Subsidy Regional and Community-level Database from a rural business perspective. This database covers the period from October 25, 2020 to January 16, 2021. It is based on Canada Revenue Agency (CRA) Canada Emergency Wage Subsidy (CEWS) microdata and administrative data sources available within Statistics Canada. Topics include number of CEWS supported employees and subsidy amounts in rural areas, comparison of rural and urban businesses, and analysis by industry and province/territory.
Release date: 2021-12-06 - 2. Loneliness in Canada ArchivedStats in brief: 11-627-M2021090Description:
This infographic uses data from the Canadian Social Survey to look at loneliness. It shows that loneliness is prevalent across Canada and that the share of people in Canada who reported high levels of loneliness varies based on age group, gender and marital status. It also shows that those who are lonely report worse mental health and lower life satisfaction. Loneliness is an indicator in Canada's Quality of Life Framework.
Release date: 2021-11-24 - Articles and reports: 82-003-X202101100002Description:
There are important information gaps concerning the prevalence and distribution of infection control practices within workplaces continuing to operate during the COVID-19 pandemic.
Release date: 2021-11-17 - Articles and reports: 11F0019M2021008Description:
A robust Internet typology is essential for monitoring how individuals are responding to the digital transformation and for assessing the divide between digital ‘haves’ and ‘have nots.’ Individuals’ capacities to use the Internet and digital technologies are an important aspect of this digital divide. Using data from the 2018 Canadian Internet Use Survey (CIUS), this study presents an Internet-use typology that is based on the range and complexity of online activities and digital skills that Canadians report they perform. Five Internet-user groups are identified.
Release date: 2021-11-09 - Stats in brief: 11-627-M2021081Description: The data on natural wealth presented reflects the proven & probable reserves for select minerals and established active reserves for energy (2020 preliminary).Release date: 2021-11-01
- Articles and reports: 11-522-X202100100024Description: The Economic Directorate of the U.S. Census Bureau is developing coordinated design and sample selection procedures for the Annual Integrated Economic Survey. The unified sample will replace the directorate’s existing practice of independently developing sampling frames and sampling procedures for a suite of separate annual surveys, which optimizes sample design features at the cost of increased response burden. Size attributes of business populations, e.g., revenues and employment, are highly skewed. A high percentage of companies operate in more than one industry. Therefore, many companies are sampled into multiple surveys compounding the response burden, especially for “medium sized” companies. This component of response burden is reduced by selecting a single coordinated sample but will not be completely alleviated. Response burden is a function of several factors, including (1) questionnaire length and complexity, (2) accessibility of data, (3) expected number of repeated measures, and (4) frequency of collection. The sample design can have profound effects on the third and fourth factors. To help inform decisions about the integrated sample design, we use regression trees to identify covariates from the sampling frame that are related to response burden. Using historic frame and response data from four independently sampled surveys, we test a variety of algorithms, then grow regression trees that explain relationships between expected levels of response burden (as measured by response rate) and frame covariates common to more than one survey. We validate initial findings by cross-validation, examining results over time. Finally, we make recommendations on how to incorporate our robust findings into the coordinated sample design.Release date: 2021-10-29
- Articles and reports: 11-522-X202100100023Description:
Our increasingly digital society provides multiple opportunities to maximise our use of data for the public good – using a range of sources, data types and technologies to enable us to better inform the public about social and economic matters and contribute to the effective development and evaluation of public policy. Ensuring use of data in ethically appropriate ways is an important enabler for realising the potential to use data for public good research and statistics. Earlier this year the UK Statistics Authority launched the Centre for Applied Data Ethics to provide applied data ethics services, advice, training and guidance to the analytical community across the United Kingdom. The Centre has developed a framework and portfolio of services to empower analysts to consider the ethics of their research quickly and easily, at the research design phase thus promoting a culture of ethics by design. This paper will provide an overview of this framework, the accompanying user support services and the impact of this work.
Key words: Data ethics, data, research and statistics
Release date: 2021-10-22 - Articles and reports: 11-522-X202100100001Description:
We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a “working” reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the empirical likelihood method. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.
Key Words: Big data; Empirical likelihood; Measurement error models; Missing covariates.
Release date: 2021-10-15 - Stats in brief: 45-28-0001202100100032Description:
While lockdown periods and physical distancing measures are fundamental in reducing virus transmission, prolonged restrictions may lead to reduced engagement in physical activity and exercise. This article examines changes in reported physical activity from before to during the COVID-19 pandemic. More specifically, it examines changes in the proportion of Canadians meeting physical activity guidelines, as well as changes in the types of physical activity reported. The article explores differences between youth (aged 12 to 17), adults (aged 18 to 64) and older adults (aged 65 and over).
Release date: 2021-09-17 - Articles and reports: 75F0002M2021008Description:
As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.
Release date: 2021-09-09
Stats in brief (7)
Stats in brief (7) ((7 results))
- 1. Rural insights from the Canada Emergency Wage Subsidy: October 25, 2020 to January 16, 2021 ArchivedStats in brief: 45-28-0001202100100040Description:
This article analyzes the Canada Emergency Wage Subsidy Regional and Community-level Database from a rural business perspective. This database covers the period from October 25, 2020 to January 16, 2021. It is based on Canada Revenue Agency (CRA) Canada Emergency Wage Subsidy (CEWS) microdata and administrative data sources available within Statistics Canada. Topics include number of CEWS supported employees and subsidy amounts in rural areas, comparison of rural and urban businesses, and analysis by industry and province/territory.
Release date: 2021-12-06 - 2. Loneliness in Canada ArchivedStats in brief: 11-627-M2021090Description:
This infographic uses data from the Canadian Social Survey to look at loneliness. It shows that loneliness is prevalent across Canada and that the share of people in Canada who reported high levels of loneliness varies based on age group, gender and marital status. It also shows that those who are lonely report worse mental health and lower life satisfaction. Loneliness is an indicator in Canada's Quality of Life Framework.
Release date: 2021-11-24 - Stats in brief: 11-627-M2021081Description: The data on natural wealth presented reflects the proven & probable reserves for select minerals and established active reserves for energy (2020 preliminary).Release date: 2021-11-01
- Stats in brief: 45-28-0001202100100032Description:
While lockdown periods and physical distancing measures are fundamental in reducing virus transmission, prolonged restrictions may lead to reduced engagement in physical activity and exercise. This article examines changes in reported physical activity from before to during the COVID-19 pandemic. More specifically, it examines changes in the proportion of Canadians meeting physical activity guidelines, as well as changes in the types of physical activity reported. The article explores differences between youth (aged 12 to 17), adults (aged 18 to 64) and older adults (aged 65 and over).
Release date: 2021-09-17 - Stats in brief: 45-28-0001202100100028Description:
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, second quarter of 2021.
Release date: 2021-07-09 - 6. Introduction to the Survey on Accessibility in Federal Sector Organizations, American Sign Language ArchivedStats in brief: 11-629-X2021001Description:
The Survey on Accessibility in Federal Sector Organizations will provide key information on selected priority areas covered under the Accessible Canada Act. These priority areas include information and communications technology such as online access to services and transportation. The Government of Canada adopted the Accessible Canada Act in 2019, the purpose of which is to help create a barrier-free Canada for people with disabilities when they interact with areas under federal jurisdiction.
Release date: 2021-03-08 - 7. Snowmobile fatalities in Canada, 2013 to 2019 ArchivedStats in brief: 11-627-M2021002Description: This is an infographic about snowmobiling deaths. The results shown are based on data from the Canadian Coroner and Medical Examiner Database and the Canadian Vital Statistics: Death Database.Release date: 2021-01-22
Articles and reports (21)
Articles and reports (21) (0 to 10 of 21 results)
- Articles and reports: 82-003-X202101100002Description:
There are important information gaps concerning the prevalence and distribution of infection control practices within workplaces continuing to operate during the COVID-19 pandemic.
Release date: 2021-11-17 - Articles and reports: 11F0019M2021008Description:
A robust Internet typology is essential for monitoring how individuals are responding to the digital transformation and for assessing the divide between digital ‘haves’ and ‘have nots.’ Individuals’ capacities to use the Internet and digital technologies are an important aspect of this digital divide. Using data from the 2018 Canadian Internet Use Survey (CIUS), this study presents an Internet-use typology that is based on the range and complexity of online activities and digital skills that Canadians report they perform. Five Internet-user groups are identified.
Release date: 2021-11-09 - Articles and reports: 11-522-X202100100024Description: The Economic Directorate of the U.S. Census Bureau is developing coordinated design and sample selection procedures for the Annual Integrated Economic Survey. The unified sample will replace the directorate’s existing practice of independently developing sampling frames and sampling procedures for a suite of separate annual surveys, which optimizes sample design features at the cost of increased response burden. Size attributes of business populations, e.g., revenues and employment, are highly skewed. A high percentage of companies operate in more than one industry. Therefore, many companies are sampled into multiple surveys compounding the response burden, especially for “medium sized” companies. This component of response burden is reduced by selecting a single coordinated sample but will not be completely alleviated. Response burden is a function of several factors, including (1) questionnaire length and complexity, (2) accessibility of data, (3) expected number of repeated measures, and (4) frequency of collection. The sample design can have profound effects on the third and fourth factors. To help inform decisions about the integrated sample design, we use regression trees to identify covariates from the sampling frame that are related to response burden. Using historic frame and response data from four independently sampled surveys, we test a variety of algorithms, then grow regression trees that explain relationships between expected levels of response burden (as measured by response rate) and frame covariates common to more than one survey. We validate initial findings by cross-validation, examining results over time. Finally, we make recommendations on how to incorporate our robust findings into the coordinated sample design.Release date: 2021-10-29
- Articles and reports: 11-522-X202100100023Description:
Our increasingly digital society provides multiple opportunities to maximise our use of data for the public good – using a range of sources, data types and technologies to enable us to better inform the public about social and economic matters and contribute to the effective development and evaluation of public policy. Ensuring use of data in ethically appropriate ways is an important enabler for realising the potential to use data for public good research and statistics. Earlier this year the UK Statistics Authority launched the Centre for Applied Data Ethics to provide applied data ethics services, advice, training and guidance to the analytical community across the United Kingdom. The Centre has developed a framework and portfolio of services to empower analysts to consider the ethics of their research quickly and easily, at the research design phase thus promoting a culture of ethics by design. This paper will provide an overview of this framework, the accompanying user support services and the impact of this work.
Key words: Data ethics, data, research and statistics
Release date: 2021-10-22 - Articles and reports: 11-522-X202100100001Description:
We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a “working” reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the empirical likelihood method. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.
Key Words: Big data; Empirical likelihood; Measurement error models; Missing covariates.
Release date: 2021-10-15 - Articles and reports: 75F0002M2021008Description:
As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.
Release date: 2021-09-09 - Articles and reports: 11F0019M2021007Description:
An increase in the economic participation of women has been identified as a major driver of economic growth, leading to increased interest in supporting the entrepreneurial activities of women. This paper uses newly developed data on the gender of business owners to investigate differences in labour productivity between men-owned, women-owned and equally owned enterprises. This paper uses the Canadian Employer–Employee Dynamics Database (CEEDD).
Release date: 2021-08-30 - Articles and reports: 36-28-0001202100800002Description:
Various studies have shown that children from socioeconomically disadvantaged families are more likely to have poorer outcomes than children from more advantaged families and that such gaps could be reduced by participating in early learning and child care (ELCC). Using the 2019 Survey on Early Learning and Child Care Arrangements, a nationally representative survey that provides the most updated and detailed information on child care for children aged 0 to 5 years, this study examines the patterns of ELCC participation among families with potential socioeconomic disadvantages in Canada.
Release date: 2021-08-25 - Articles and reports: 36-28-0001202100800003Description:
The COVID-19 pandemic has had a significant impact on many aspects of the lives of Canadians, including the ability to secure and provide child care. This article examines the use of child care among children under age 6 based on results from the Survey on Early Learning and Child Care Arrangements (2020), collected between November 2020 and January 2021.
Release date: 2021-08-25 - Articles and reports: 36-28-0001202100800006Description:
Childcare supports labour force participation for parents, and can support language, early learning, and the social development of children before they enter the school system. However, there has been little consistent, comparable information on early learning and childcare businesses across the provinces and territories. This paper examines the business and economic characteristics of childcare in Canada, which is provided by firms through markets, and early learning services funded by governments through junior kindergarten and kindergarten. The paper uses administrative datasets to identify firms providing childcare services in Canada for children up to and including the age of 5 for the period from 2008 to 2016. The childcare firms are then used as a basis to examine the revenue and Gross domestic product of the childcare industry based on the type of firm (incorporated vs. unincorporated) generating the income.
Release date: 2021-08-25
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