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- Selected: Y (139)
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Results
All (139)
All (139) (0 to 10 of 139 results)
- Articles and reports: 62F0014M2024005Description: As part of its modernization initiative, Statistics Canada has been working with major Canadian wireless services providers (WSPs) to obtain transaction data for wireless plans. This document details the methodology used to incorporate transaction data in the cellular services price index (CSPI). The result is a “hybrid” index that combines the transaction data from participating WSPs with web collected data from the remaining WSPs in the sample.Release date: 2024-08-20
- Articles and reports: 18-001-X2024001Description: 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-X202200100005Description: 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-X202400100001Description: 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: 41-20-00022023005Description: 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-X202300600002Description: 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-X202200100012Description:
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 - 8. Data ethics part 2: Ethical reviews ArchivedStats in brief: 89-20-00062022004Description:
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 - 9. Statistics 101: Statistical Bias ArchivedStats in brief: 89-20-00062022005Description:
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: 62F0014M2022010Description: 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
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Stats in brief (14)
Stats in brief (14) (0 to 10 of 14 results)
- 1. Data ethics part 2: Ethical reviews ArchivedStats in brief: 89-20-00062022004Description:
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 - 2. Statistics 101: Statistical Bias ArchivedStats in brief: 89-20-00062022005Description:
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: 45-28-0001202200100007Description:
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: 45-28-0001202200100001Description:
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: 45-28-0001202100100038Description:
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: 45-28-0001202100100018Description:
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: 45-28-0001202100100004Description:
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 - 8. Online shopping during the COVID-19 pandemic ArchivedStats in brief: 11-627-M2020088Description:
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: 45-28-0001202000100082Description:
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 - 10. COVID-19 Impact Analysis and 2020 Outlook: For-hire Motor Carrier Freight Services Price Index ArchivedStats in brief: 45-28-0001202000100067Description:
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 (123)
Articles and reports (123) (0 to 10 of 123 results)
- Articles and reports: 62F0014M2024005Description: As part of its modernization initiative, Statistics Canada has been working with major Canadian wireless services providers (WSPs) to obtain transaction data for wireless plans. This document details the methodology used to incorporate transaction data in the cellular services price index (CSPI). The result is a “hybrid” index that combines the transaction data from participating WSPs with web collected data from the remaining WSPs in the sample.Release date: 2024-08-20
- Articles and reports: 18-001-X2024001Description: 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-X202200100005Description: 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-X202400100001Description: 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: 41-20-00022023005Description: 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-X202300600002Description: 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-X202200100012Description:
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 - Articles and reports: 62F0014M2022010Description: 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 - Articles and reports: 12-001-X202200100002Description:
We consider an intercept only linear random effects model for analysis of data from a two stage cluster sampling design. At the first stage a simple random sample of clusters is drawn, and at the second stage a simple random sample of elementary units is taken within each selected cluster. The response variable is assumed to consist of a cluster-level random effect plus an independent error term with known variance. The objects of inference are the mean of the outcome variable and the random effect variance. With a more complex two stage sampling design, the use of an approach based on an estimated pairwise composite likelihood function has appealing properties. Our purpose is to use our simpler context to compare the results of likelihood inference with inference based on a pairwise composite likelihood function that is treated as an approximate likelihood, in particular treated as the likelihood component in Bayesian inference. In order to provide credible intervals having frequentist coverage close to nominal values, the pairwise composite likelihood function and corresponding posterior density need modification, such as a curvature adjustment. Through simulation studies, we investigate the performance of an adjustment proposed in the literature, and find that it works well for the mean but provides credible intervals for the random effect variance that suffer from under-coverage. We propose possible future directions including extensions to the case of a complex design.
Release date: 2022-06-21 - Articles and reports: 12-001-X202200100006Description:
In the last two decades, survey response rates have been steadily falling. In that context, it has become increasingly important for statistical agencies to develop and use methods that reduce the adverse effects of non-response on the accuracy of survey estimates. Follow-up of non-respondents may be an effective, albeit time and resource-intensive, remedy for non-response bias. We conducted a simulation study using real business survey data to shed some light on several questions about non-response follow-up. For instance, assuming a fixed non-response follow-up budget, what is the best way to select non-responding units to be followed up? How much effort should be dedicated to repeatedly following up non-respondents until a response is received? Should they all be followed up or a sample of them? If a sample is followed up, how should it be selected? We compared Monte Carlo relative biases and relative root mean square errors under different follow-up sampling designs, sample sizes and non-response scenarios. We also determined an expression for the minimum follow-up sample size required to expend the budget, on average, and showed that it maximizes the expected response rate. A main conclusion of our simulation experiment is that this sample size also appears to approximately minimize the bias and mean square error of the estimates.
Release date: 2022-06-21
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Journals and periodicals (2)
Journals and periodicals (2) ((2 results))
- Journals and periodicals: 15-548-XDescription:
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 - 2. From Home to School - How Canadian Children Cope ArchivedJournals and periodicals: 89F0117XGeography: CanadaDescription:
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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