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All (13) (0 to 10 of 13 results)

  • 1. Adjusted Price Index and Monthly Adjusted Consumer Expenditure Basket Weights
    Articles and reports: 62F0014M2021016
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated monthly adjusted consumer expenditure weights that reflect shifts in consumption patterns as the COVID-19 pandemic evolves. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data cover all goods and services in the Consumer Price Index (CPI), and provide snapshot estimates of expenditure weights for June, July, August and September 2021. These estimates can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2021-11-10
  • 2. An Approximate Bayesian Approach to Improving Probability Sample Estimators Using a Supplementary Non-Probability Sample Archived
    Articles and reports: 11-522-X202100100008
    Description:

    Non-probability samples are being increasingly explored by National Statistical Offices as a complement to probability samples. We consider the scenario where the variable of interest and auxiliary variables are observed in both a probability and non-probability sample. Our objective is to use data from the non-probability sample to improve the efficiency of survey-weighted estimates obtained from the probability sample. Recently, Sakshaug, Wisniowski, Ruiz and Blom (2019) and Wisniowski, Sakshaug, Ruiz and Blom (2020) proposed a Bayesian approach to integrating data from both samples for the estimation of model parameters. In their approach, non-probability sample data are used to determine the prior distribution of model parameters, and the posterior distribution is obtained under the assumption that the probability sampling design is ignorable (or not informative). We extend this Bayesian approach to the prediction of finite population parameters under non-ignorable (or informative) sampling by conditioning on appropriate survey-weighted statistics. We illustrate the properties of our predictor through a simulation study.

    Key Words: Bayesian prediction; Gibbs sampling; Non-ignorable sampling; Statistical data integration.

    Release date: 2021-10-29
  • 3. Creation of a composite quality indicator for administrative data-based estimates using clustering Archived
    Articles and reports: 11-522-X202100100015
    Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.

    Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.

    Release date: 2021-10-22
  • 4. Outlook of rural businesses and impacts related to COVID-19, third quarter of 2021 Archived
    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
  • 5. The early learning and child care industry in Canada: Business characteristics and industry gross domestic product
    Articles and reports: 36-28-0001202100800006
    Description:

    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
  • 6. Integration of data from probability surveys and big found data for finite population inference using mass imputation
    Articles and reports: 12-001-X202100100004
    Description:

    Multiple data sources are becoming increasingly available for statistical analyses in the era of big data. As an important example in finite-population inference, we consider an imputation approach to combining data from a probability survey and big found data. We focus on the case when the study variable is observed in the big data only, but the other auxiliary variables are commonly observed in both data. Unlike the usual imputation for missing data analysis, we create imputed values for all units in the probability sample. Such mass imputation is attractive in the context of survey data integration (Kim and Rao, 2012). We extend mass imputation as a tool for data integration of survey data and big non-survey data. The mass imputation methods and their statistical properties are presented. The matching estimator of Rivers (2007) is also covered as a special case. Variance estimation with mass-imputed data is discussed. The simulation results demonstrate the proposed estimators outperform existing competitors in terms of robustness and efficiency.

    Release date: 2021-06-24
  • 7. Colorectal cancer screening during the COVID-19 pandemic: Impact of paused screening and evaluation of strategies to reduce delays Archived
    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
  • 8. Neighbourhood characteristics and life satisfaction of individuals in lower-, middle-, and higher-income families in Canadian metropolitan areas
    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
  • 9. An occupational risk/reward assessment tool for COVID-19
    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
  • 10. People living in apartments and larger households were at higher risk of dying from COVID-19 during the first wave of the pandemic Archived
    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 (4)

Stats in brief (4) ((4 results))

  • 1. Outlook of rural businesses and impacts related to COVID-19, third quarter of 2021 Archived
    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
  • 2. Colorectal cancer screening during the COVID-19 pandemic: Impact of paused screening and evaluation of strategies to reduce delays Archived
    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
  • 3. People living in apartments and larger households were at higher risk of dying from COVID-19 during the first wave of the pandemic Archived
    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
  • 4. Online shopping during the COVID-19 pandemic Archived
    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
Articles and reports (9)

Articles and reports (9) ((9 results))

  • 1. Adjusted Price Index and Monthly Adjusted Consumer Expenditure Basket Weights
    Articles and reports: 62F0014M2021016
    Description:

    Using various sources of expenditure data, Statistics Canada, in partnership with the Bank of Canada, has estimated monthly adjusted consumer expenditure weights that reflect shifts in consumption patterns as the COVID-19 pandemic evolves. The Adjusted price index has been updated to incorporate the 2020 basket weights and is now based on a Similarity-linked Fisher price index formula. The expenditure data cover all goods and services in the Consumer Price Index (CPI), and provide snapshot estimates of expenditure weights for June, July, August and September 2021. These estimates can provide insight into the impact of COVID-19 on the headline CPI.

    Release date: 2021-11-10
  • 2. An Approximate Bayesian Approach to Improving Probability Sample Estimators Using a Supplementary Non-Probability Sample Archived
    Articles and reports: 11-522-X202100100008
    Description:

    Non-probability samples are being increasingly explored by National Statistical Offices as a complement to probability samples. We consider the scenario where the variable of interest and auxiliary variables are observed in both a probability and non-probability sample. Our objective is to use data from the non-probability sample to improve the efficiency of survey-weighted estimates obtained from the probability sample. Recently, Sakshaug, Wisniowski, Ruiz and Blom (2019) and Wisniowski, Sakshaug, Ruiz and Blom (2020) proposed a Bayesian approach to integrating data from both samples for the estimation of model parameters. In their approach, non-probability sample data are used to determine the prior distribution of model parameters, and the posterior distribution is obtained under the assumption that the probability sampling design is ignorable (or not informative). We extend this Bayesian approach to the prediction of finite population parameters under non-ignorable (or informative) sampling by conditioning on appropriate survey-weighted statistics. We illustrate the properties of our predictor through a simulation study.

    Key Words: Bayesian prediction; Gibbs sampling; Non-ignorable sampling; Statistical data integration.

    Release date: 2021-10-29
  • 3. Creation of a composite quality indicator for administrative data-based estimates using clustering Archived
    Articles and reports: 11-522-X202100100015
    Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.

    Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.

    Release date: 2021-10-22
  • 4. The early learning and child care industry in Canada: Business characteristics and industry gross domestic product
    Articles and reports: 36-28-0001202100800006
    Description:

    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
  • 5. Integration of data from probability surveys and big found data for finite population inference using mass imputation
    Articles and reports: 12-001-X202100100004
    Description:

    Multiple data sources are becoming increasingly available for statistical analyses in the era of big data. As an important example in finite-population inference, we consider an imputation approach to combining data from a probability survey and big found data. We focus on the case when the study variable is observed in the big data only, but the other auxiliary variables are commonly observed in both data. Unlike the usual imputation for missing data analysis, we create imputed values for all units in the probability sample. Such mass imputation is attractive in the context of survey data integration (Kim and Rao, 2012). We extend mass imputation as a tool for data integration of survey data and big non-survey data. The mass imputation methods and their statistical properties are presented. The matching estimator of Rivers (2007) is also covered as a special case. Variance estimation with mass-imputed data is discussed. The simulation results demonstrate the proposed estimators outperform existing competitors in terms of robustness and efficiency.

    Release date: 2021-06-24
  • 6. Neighbourhood characteristics and life satisfaction of individuals in lower-, middle-, and higher-income families in Canadian metropolitan areas
    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
  • 7. An occupational risk/reward assessment tool for COVID-19
    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
  • 8. International Women’s Day 2021
    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
  • 9. The changing nature of work in Canada amid recent advances in automation technology
    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
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