Analysis

COVID-19 A data perspective

COVID-19: A data perspective: Explore key economic trends and social challenges that arise as the COVID-19 situation evolves.

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All (133) (0 to 10 of 133 results)

  • 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

  • Articles and reports: 12-001-X202200100002
    Description:

    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-X202200100006
    Description:

    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

  • Articles and reports: 62F0014M2022006
    Description:

    This article presents the data sources and methodology for the Machinery and Equipment Price Index (MEPI). The MEPI is an input price index that measures the quarterly change in the price of machinery and equipment purchased by industries in Canada. The MEPI is an important indicator of economic activity in all industries undertaking capital investment, serving as a tool for performance evaluation, cost monitoring, contract assessment and benchmark comparisons. It also provides supplemental information to the Canadian System of Macroeconomic Accounts to calculate gross domestic product and measure changes in productivity.

    Release date: 2022-05-16

  • Articles and reports: 82-003-X202200400001
    Description:

    Canadians have been gravely impacted by the COVID-19 pandemic, and adults living with children may have been disproportionately impacted. The objective of this study was to describe changes in chronic disease risk factors and current exercise habits among adults living with and without a child younger than 18 years old.

    Release date: 2022-04-20

  • Articles and reports: 82-003-X202200300002
    Description:

    This study presents detailed tumour-based cancer prevalence estimates in Canada by sex, age group, cancer type and prevalence duration as of January 1, 2018.

    Release date: 2022-03-16
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 (117)

Articles and reports (117) (0 to 10 of 117 results)

  • 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

  • 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

  • Articles and reports: 12-001-X202200100002
    Description:

    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-X202200100006
    Description:

    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

  • Articles and reports: 62F0014M2022006
    Description:

    This article presents the data sources and methodology for the Machinery and Equipment Price Index (MEPI). The MEPI is an input price index that measures the quarterly change in the price of machinery and equipment purchased by industries in Canada. The MEPI is an important indicator of economic activity in all industries undertaking capital investment, serving as a tool for performance evaluation, cost monitoring, contract assessment and benchmark comparisons. It also provides supplemental information to the Canadian System of Macroeconomic Accounts to calculate gross domestic product and measure changes in productivity.

    Release date: 2022-05-16

  • Articles and reports: 82-003-X202200400001
    Description:

    Canadians have been gravely impacted by the COVID-19 pandemic, and adults living with children may have been disproportionately impacted. The objective of this study was to describe changes in chronic disease risk factors and current exercise habits among adults living with and without a child younger than 18 years old.

    Release date: 2022-04-20

  • Articles and reports: 82-003-X202200300002
    Description:

    This study presents detailed tumour-based cancer prevalence estimates in Canada by sex, age group, cancer type and prevalence duration as of January 1, 2018.

    Release date: 2022-03-16

  • Articles and reports: 62F0014M2021017
    Description:

    Decisions by economic agents, such as firms and consumers, depend on their views about inflation. Consumers’ views of inflation, are systematically higher than inflation measured by the Consumer Price Index (CPI), and more so for certain demographic groups. While measurement factors can explain part of this gap, behavioral factors appear to play a larger role. This article examines these factors to explain the gap between CPI’s inflation and inflation perceptions in Canada.

    Release date: 2022-01-19

  • Articles and reports: 12-001-X202100200007
    Description:

    In this paper, we consider the Fay-Herriot model for small area estimation. In particular, we are interested in the impact of sampling variance smoothing and modeling on the model-based estimates. We present methods of smoothing and modeling for the sampling variances and apply the proposed models to a real data analysis. Our results indicate that sampling variance smoothing can improve the efficiency and accuracy of the model-based estimator. For sampling variance modeling, the HB models of You (2016) and Sugasawa, Tamae and Kubokawa (2017) perform equally well to improve the direct survey estimates.

    Release date: 2022-01-06

  • Articles and reports: 46-28-0001202200100001
    Description:

    When a survey publishes statistics with a quality indicator, it is usually derived from measures based on sampling theory. The production of quality indicators is a significant challenge when statistics are produced using alternative sources for which no sampling is done. This paper describes a new method used to create a quality indicator that combines indicators obtained at different stages of data processing. An example of the application of the method in the Canadian Housing Statistics Program is provided in the Appendix.

    Release date: 2022-01-06
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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