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All (39) (0 to 10 of 39 results)

  • Stats in brief: 45-20-00032021004
    Description:

    The age old practice of working with one’s hands in skill and time honoured endeavors has seen a resurgence during the pandemic as people seek out ways of keeping busy, exploring a fleeting interest or honing their skills on a professional level. But there’s much more to it, according to Meagen Black, director of the Canadian Crafts Federation. We discuss the arts and crafts movement across Canada, its renaissance and its necessity.

    Release date: 2021-12-22

  • Stats in brief: 45-20-00032021003
    Description:

    The pandemic presented a long list of threats to the mental and physical well-being of children, parents and educators across the nation. To move towards the end of the pandemic and a return to normalcy, difficult choices such as closing schools had to be made by policy-makers. With our guest Dr. Kelley Zwicker, a pediatric doctor at the Children’s Hospital of Eastern Ontario (CHEO), we discussed the potential short- and long-term effects of the school closures on students and their parents.

    Release date: 2021-12-07

  • Stats in brief: 45-20-00032021002
    Description:

    This first episode of Eh Sayers is a heart-felt discussion on disability in the context of the COVID-19 pandemic. With our two guests Tony Labillois the director of Public Sector and Champion for Persons with Disabilities at Statistics Canada, and Michelle Maroto, Associate Professor of Sociology at the University of Alberta, we discussed the realities of people living with disabilities, their challenges and all the changes that the pandemic has brought in their daily lives.

    Release date: 2021-11-25

  • Articles and reports: 89-657-X2021006
    Description:

    This fact sheet presents the change from 2001 to 2016 in the number and proportion of young children likely to attend a French-language child care service, as well as the number and proportion of childcare workers using French at work in Canada outside Quebec, with data from the 2001 and 2016 censuses of population.

    Release date: 2021-11-18

  • Articles and reports: 89-657-X2021007
    Description:

    This fact sheet presents the change from 2001 to 2016 in the number and proportion of young children likely to attend an English-language child care service, as well as the number and proportion of child care workers using English at work in Quebec, with data from the 2001 and 2016 censuses of population.

    Release date: 2021-11-18

  • Articles and reports: 82-003-X202101100001
    Description:

    The fitness levels of Canadian adults declined substantially between 1981 and the years 2007 to 2009, suggesting a reduction in population health. This paper updates the fitness trends of Canadians aged 20 to 69 years by extending the time period to 2017.

    Release date: 2021-11-17

  • Articles and reports: 75F0002M2021007
    Description:

    This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Yukon and the Northwest Territories, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 and 2019. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.

    Release date: 2021-11-12

  • Stats in brief: 11-627-M2021081
    Description: 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-X202100100009
    Description:

    Use of auxiliary data to improve the efficiency of estimators of totals and means through model-assisted survey regression estimation has received considerable attention in recent years. Generalized regression (GREG) estimators, based on a working linear regression model, are currently used in establishment surveys at Statistics Canada and several other statistical agencies.  GREG estimators use common survey weights for all study variables and calibrate to known population totals of auxiliary variables. Increasingly, many auxiliary variables are available, some of which may be extraneous. This leads to unstable GREG weights when all the available auxiliary variables, including interactions among categorical variables, are used in the working linear regression model. On the other hand, new machine learning methods, such as regression trees and lasso, automatically select significant auxiliary variables and lead to stable nonnegative weights and possible efficiency gains over GREG.  In this paper, a simulation study, based on a real business survey sample data set treated as the target population, is conducted to study the relative performance of GREG, regression trees and lasso in terms of efficiency of the estimators.

    Key Words: Model assisted inference; calibration estimation; model selection; generalized regression estimator.

    Release date: 2021-10-29

  • Articles and reports: 11-522-X202100100018
    Description: Statistics Finland started publishing nowcasts of the trend indicator of output (TIO), the monthly indicator of real economic activity, to answer users´ needs during the Covid-19 pandemic. The indicator was first published in April 2020, at the very beginning of the pandemic in Finland, and had a monthly release schedule until June 2021. The TIO nowcasts are produced using open-source data on truck traffic volumes at about 100 automatic measuring points in the Helsinki/Uusimaa -region and the Economic Sentiment Indicator for Finland. Estimation is done using a machine learning approach and the methodology is based on previous work done by Statistics Finland and ETLA Economic Research.

    Key Words: nowcasting; flash estimates; machine learning; experimental statistics.

    Release date: 2021-10-29
Stats in brief (7)

Stats in brief (7) ((7 results))

  • Stats in brief: 45-20-00032021004
    Description:

    The age old practice of working with one’s hands in skill and time honoured endeavors has seen a resurgence during the pandemic as people seek out ways of keeping busy, exploring a fleeting interest or honing their skills on a professional level. But there’s much more to it, according to Meagen Black, director of the Canadian Crafts Federation. We discuss the arts and crafts movement across Canada, its renaissance and its necessity.

    Release date: 2021-12-22

  • Stats in brief: 45-20-00032021003
    Description:

    The pandemic presented a long list of threats to the mental and physical well-being of children, parents and educators across the nation. To move towards the end of the pandemic and a return to normalcy, difficult choices such as closing schools had to be made by policy-makers. With our guest Dr. Kelley Zwicker, a pediatric doctor at the Children’s Hospital of Eastern Ontario (CHEO), we discussed the potential short- and long-term effects of the school closures on students and their parents.

    Release date: 2021-12-07

  • Stats in brief: 45-20-00032021002
    Description:

    This first episode of Eh Sayers is a heart-felt discussion on disability in the context of the COVID-19 pandemic. With our two guests Tony Labillois the director of Public Sector and Champion for Persons with Disabilities at Statistics Canada, and Michelle Maroto, Associate Professor of Sociology at the University of Alberta, we discussed the realities of people living with disabilities, their challenges and all the changes that the pandemic has brought in their daily lives.

    Release date: 2021-11-25

  • Stats in brief: 11-627-M2021081
    Description: 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: 45-20-00032021001
    Description:

    We sit down (virtually!) with Tony Labillois, StatCan’s Champion for Persons With Disabilities, to talk about the new challenges and opportunities experienced by persons with disabilities during the pandemic.

    Release date: 2021-06-03

  • Stats in brief: 45-28-0001202100100020
    Description:

    The COVID-19 pandemic accelerated the need for more timely data on the service industries as some of the hardest hit sectors and last to recover will be on that side of the economy. The paper looks at preliminary operating revenue estimates in 2020 for key professional business and administrative support services industries in Canada that traditionally have weathered recessions.

    Release date: 2021-05-21

  • Stats in brief: 11-627-M2021037
    Description:

    This infographic reviews gender parity and the salary gap among university academics (full professors, associate professors and assistant professors) and how it has changed over the last 40 years.

    Release date: 2021-03-24
Articles and reports (32)

Articles and reports (32) (0 to 10 of 32 results)

  • Articles and reports: 89-657-X2021006
    Description:

    This fact sheet presents the change from 2001 to 2016 in the number and proportion of young children likely to attend a French-language child care service, as well as the number and proportion of childcare workers using French at work in Canada outside Quebec, with data from the 2001 and 2016 censuses of population.

    Release date: 2021-11-18

  • Articles and reports: 89-657-X2021007
    Description:

    This fact sheet presents the change from 2001 to 2016 in the number and proportion of young children likely to attend an English-language child care service, as well as the number and proportion of child care workers using English at work in Quebec, with data from the 2001 and 2016 censuses of population.

    Release date: 2021-11-18

  • Articles and reports: 82-003-X202101100001
    Description:

    The fitness levels of Canadian adults declined substantially between 1981 and the years 2007 to 2009, suggesting a reduction in population health. This paper updates the fitness trends of Canadians aged 20 to 69 years by extending the time period to 2017.

    Release date: 2021-11-17

  • Articles and reports: 75F0002M2021007
    Description:

    This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Yukon and the Northwest Territories, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 and 2019. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.

    Release date: 2021-11-12

  • Articles and reports: 11-522-X202100100009
    Description:

    Use of auxiliary data to improve the efficiency of estimators of totals and means through model-assisted survey regression estimation has received considerable attention in recent years. Generalized regression (GREG) estimators, based on a working linear regression model, are currently used in establishment surveys at Statistics Canada and several other statistical agencies.  GREG estimators use common survey weights for all study variables and calibrate to known population totals of auxiliary variables. Increasingly, many auxiliary variables are available, some of which may be extraneous. This leads to unstable GREG weights when all the available auxiliary variables, including interactions among categorical variables, are used in the working linear regression model. On the other hand, new machine learning methods, such as regression trees and lasso, automatically select significant auxiliary variables and lead to stable nonnegative weights and possible efficiency gains over GREG.  In this paper, a simulation study, based on a real business survey sample data set treated as the target population, is conducted to study the relative performance of GREG, regression trees and lasso in terms of efficiency of the estimators.

    Key Words: Model assisted inference; calibration estimation; model selection; generalized regression estimator.

    Release date: 2021-10-29

  • Articles and reports: 11-522-X202100100018
    Description: Statistics Finland started publishing nowcasts of the trend indicator of output (TIO), the monthly indicator of real economic activity, to answer users´ needs during the Covid-19 pandemic. The indicator was first published in April 2020, at the very beginning of the pandemic in Finland, and had a monthly release schedule until June 2021. The TIO nowcasts are produced using open-source data on truck traffic volumes at about 100 automatic measuring points in the Helsinki/Uusimaa -region and the Economic Sentiment Indicator for Finland. Estimation is done using a machine learning approach and the methodology is based on previous work done by Statistics Finland and ETLA Economic Research.

    Key Words: nowcasting; flash estimates; machine learning; experimental statistics.

    Release date: 2021-10-29

  • Articles and reports: 11-522-X202100100028
    Description:

    Many Government of Canada groups are developing codes to process and visualize various kinds data, often duplicating each other’s efforts, with sub-optimal efficiency and limited level of code quality reviewing. This paper informally presents a working-level approach to addressing this technical problem. The idea is to collaboratively build a common repository of code and knowledgebase for use by anyone in the public sector to perform many common data science tasks, and, in doing that, help each other to master both the data science coding skills and the industry standard collaborative practices. The paper explains why R language is used as the language of choice for collaborative data science code development. It summaries R advantages and addresses its limitations, establishes the taxonomy of discussion topics of highest interested to the GC data scientists working with R, provides an overview of used collaborative platforms, and presents the results obtained to date. Even though the code knowledgebase is developed mainly in R, it is meant to be valuable also for data scientists coding in Python and other development environments. Key Words: Collaboration; Data science; Data Engineering; R; Open Government; Open Data; Open Science

    Release date: 2021-10-29

  • 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

  • Articles and reports: 45-20-00022021001
    Description:

    Using the 2016 Long-Form Census of Population and the updated Remoteness Index Classification, this paper looks at the sociodemographic profile of women and girls by the relative remoteness of their communities.

    Release date: 2021-09-20

  • Articles and reports: 81-595-M2021002
    Description:

    The COVID-19 pandemic has impacted many segments of Canadian society, including post-secondary institutions given the uncertainty surrounding the enrolment of international students. With the current international travel restrictions in place in Canada and requests by health authorities to practice physical distancing, a large majority of universities were planning to utilize online learning as the primary teaching method for the entire 2020/21 academic year. Over the last decade, institutions have increasingly relied on international students' tuition fees as a revenue source. The aim of this paper was to assess, using projection scenarios, hypothetical financial losses for Canadian universities in the 2020/21 school year. These scenarios were based on a series of assumptions using forecasted international and domestic student registrations and recent trends in administrative and survey data.

    Release date: 2021-08-18
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