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Results
All (401)
All (401) (60 to 70 of 401 results)
- 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-X202100100008Description:
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 - Articles and reports: 11-522-X202100100009Description:
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-X202100100018Description: 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 - 65. Growing Regression Trees that Use Sampling Frame Covariates to Explore Response Burden for Use in Survey Design ArchivedArticles 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-X202100100025Description:
We propose a longitudinal analysis with a point of view connected to the organizational changes that have taken place in the Italian National Institute of Statistics in recent years. In 2016 the Institute introduced a new Directorate, intending to standardize and generalize the business process of Data Collection according to the European standard of the GAMSO model. The paper discusses the pros and cons of this change from the perspective of the survey's participation. The ICT survey response rate analysis demonstrates an increase of around 20% since the beginning of the new organization: the paper tries to focus on the impact of the changes introduced with the new organization. We focused our attention on two specific subsets of respondents - the so-called "wanted" - the ones who have never answered to an ICT survey or to any other Istat survey and - the so-called “lost” - the ones included in two consecutive survey’s samples and that answered in the previous edition but not in the current one. The paper aims to illustrate how an efficient organization of data collection reflects its benefits on survey results and what kind of actions should be taken to catch the attention of the "wanted". Finally, we apply a logistic model measuring the probability that an enterprise responding in 2018 (t-1) also answered in 2019 (t). All the analysis suggests some actions that could be taken to improve respondents' participation, data quality, and respondents' perception of the official statistics.
Key Words: data collection strategy, response rate, paradata, response burden, ICT Survey.
Release date: 2021-10-29 - Articles and reports: 11-522-X202100100026Description:
The Government of Canada’s Directive on Open Government aims to ensure that Canadians have greater access to government data and information. One solution for open data is smart synthetic files, which retain as much analytical value as possible and take into account confidentiality issues that arise from collecting personal information. In recent years, Statistics Canada has acquired a recognized expertise in producing synthetic data files of high analytical value. In a current project, Statistics Canada is tackling a new challenge to synthesize a database and preserve hierarchical structures in the form of families, where records are linked and share common traits that must be maintained. These challenges are also encountered when synthesizing structured data such as business data. This paper presents the challenges and solutions for building synthetic data with such hierarchical structures. Application of this strategy will be illustrated with the development of a synthetic database that supports the development of retirement income policies. This database includes over 20 variables and 8 million records structured into approximately 4 million family units. We will present how family structures have been preserved, discuss the practical and technical challenges inherent in developing such a large and complex database, present the risk and utility of the data, and propose avenues for future research.
Keywords: synthetic data of high analytical value; family structures; modern data access solution.
Release date: 2021-10-29 - Articles and reports: 11-522-X202100100027Description:
Privacy concerns are a barrier to applying remote analytics, including machine learning, on sensitive data via the cloud. In this work, we use a leveled fully Homomorphic Encryption scheme to train an end-to-end supervised machine learning algorithm to classify texts while protecting the privacy of the input data points. We train our single-layer neural network on a large simulated dataset, providing a practical solution to a real-world multi-class text classification task. To improve both accuracy and training time, we train an ensemble of such classifiers in parallel using ciphertext packing.
Key Words: Privacy Preservation, Machine Learning, Encryption
Release date: 2021-10-29 - Articles and reports: 11-522-X202100100028Description:
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: 75-006-X202100100010Description:
Canada's religious landscape has undergone significant changes in recent decades, including a decline in religious affiliation and participation in individual and group religious activities. This study uses data from the General Social Survey to provide a portrait of the diverse relationships that Canadians have with religion. The study also presents key trends that characterize the evolution of religiosity in Canada since 1985.
Release date: 2021-10-28
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Stats in brief (145)
Stats in brief (145) (0 to 10 of 145 results)
- Stats in brief: 45-20-00032021004Description:
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: 45-28-0001202100100044Description:
While all businesses in Canada have been impacted by the COVID-19 pandemic, different types of businesses have been impacted in different ways. This is also true for different communities that operate businesses in Canada. This article explores results from the Canadian Survey on Business Conditions by looking at the businesses majority-owned by women, First Nations, Métis or Inuit persons, immigrants to Canada and visible minorities in the fourth quarter of 2021.
Release date: 2021-12-09 - Stats in brief: 11-627-M2021092Description:
This infographic provides a high-level overview of Statistics Canada’s Disaggregated Data Action Plan, which will produce detailed statistical information on specific population groups. This plan is essential to highlight the lived experiences of diverse groups of people in Canada, such as women, Indigenous peoples, racialized populations and people living with disabilities.
Release date: 2021-12-08 - Stats in brief: 45-20-00032021003Description:
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 - 5. 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 - Stats in brief: 45-28-0001202100100042Description:
Non-profit organizations represent a significant portion of the Canadian economy. This article provides insights on the expectations of non-profit organizations as well as the specific realities faced by these organizations. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
Release date: 2021-12-06 - Stats in brief: 11-627-M2021072Description:
This infographic features indicators on apprenticeship programs across Canada. It presents the year-over-year changes in new registrations and certifications amongst trade groups and jurisdictions in 2020. This infographic will also highlight some of the impacts of COVID-19 on apprenticeship programs.
Release date: 2021-12-06 - Stats in brief: 11-627-M2021091Description:
Beneficiaries and value of support of federal business innovation and growth support programs, by employment size, revenue size, industry and gender of primary owner, 2019.
Release date: 2021-12-02 - Stats in brief: 45-28-0001202100100041Description:
This article uses data from the first series of the Canadian Social Survey - COVID-19 and Well-being (CSS-CW) to examine whether persons aged 15 to 49 made changes to their fertility plans because of the COVID-19 pandemic. Changes to fertility intentions are explored, including those related to the timing of childbearing and those impacting the number of desired children. Lastly, we examine to what extent persons having certain sociodemographic characteristics were more or less likely to adjust their fertility plans in response to the pandemic.
Release date: 2021-12-01 - 10. Workers with disabilities receiving payments from the Canada Emergency Response Benefit program, 2020 ArchivedStats in brief: 11-627-M2021083Description:
Using data from the 2017 Canadian Survey on Disability (CSD) and the 2020 Canada Emergency Response Benefit (CERB) program, this infographic provides a profile of Canadian workers with disabilities who received CERB payments during the period from March 15 to September 26, 2020. The focus of the analysis is on workers who had employment or self-employment income of at least $5,000 in 2019.
Release date: 2021-12-01
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Articles and reports (254)
Articles and reports (254) (0 to 10 of 254 results)
- Articles and reports: 11-631-X2021003Description: This summary provides an update on the work the Agency has and is undertaking using existing and new data sources to provide critical insights on the social and economic impacts of COVID-19 on Canadians. It includes data from fall 2021.Release date: 2021-12-22
- Articles and reports: 13-605-X202100100006Description:
This article describes the revisions to the Financial Flow Accounts (FFA), the Other Changes in Assets Account (OCAA), and the National Balance Sheet Accounts (NBSA), collectively referred to as the Financial and Wealth Accounts (FWA), introduced as part of the 2021 Comprehensive Revision. These accounts are an integral part of the Canadian System of Macroeconomic Accounts (CSMA). This exercise was conducted to strengthen the overall quality and relevance of the FWA program and to introduce new concepts, methodologies, and classifications as recommended by international standards.
Release date: 2021-12-10 - Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - Articles and reports: 11-633-X2021008Description:
The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 35 years. The IMDB includes Immigration, Refugees and Citizenship Canada (IRCC) administrative records which contain exhaustive information about immigrants who were admitted to Canada since 1952. It also includes data about non-permanent residents who have been issued temporary resident permits since 1980. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.
Release date: 2021-12-06 - Articles and reports: 11-621-M2021005Description:
Multinational enterprises (MNEs) have been drivers of globalization. These enterprises have taken advantage of innovations in logistics and communications technology over the past four decades to diversify their supply chains and expand into new markets. Operating internationally, however, also allows MNEs to take advantage of tax systems which were designed for a less integrated era. For example, MNEs can arrange for profits to be 'shifted' by charging affiliates in high tax locations prices above market rates in transactions with affiliates in lower tax regions. These behaviours are referred to as base erosion and profit shifting (BEPS), and, although not illegal, they impact government revenues worldwide.
Release date: 2021-12-02 - Articles and reports: 42-28-0001202100100004Description:
Indigenous people represent one of the youngest populations in Canada. On average, Indigenous people were 8.4 years younger than the non-Indigenous population in 2016. Youth aged 15 to 24 years make up one sixth of the entire Indigenous population (16.9%). This chapter examines the demographic, familial, educational, economic, health and cultural characteristics of Indigenous youth aged 15 to 24. Data are largely taken from the 2016 Census of Population and the 2017 Aboriginal Peoples Survey.
Release date: 2021-12-01 - Articles and reports: 89-654-X2021003Description:
This paper presents preliminary findings on the relationship between disability, age of onset or diagnosis, and age of limitation. These findings are based on questions asked for each disability type covered in the 2017 Canadian Survey on Disability (CSD). It provides a profile of the age of onset, age of limitation and the period from onset to limitation for each disability type. The age of onset and age of limitation are examined by different characteristics, including sex, severity of disability and age group.
Release date: 2021-12-01 - Articles and reports: 13-605-X202100100005Description:
This article presents revisions to the gross domestic product by income and by expenditure accounts for the 2018-to-2020 period. These revisions were also reflected in the 2020 Provincial and Territorial Economic Accounts estimates, which were released on November 9, 2021.
Release date: 2021-11-30 - Articles and reports: 85-002-X202100100017Description:
This annual Juristat article presents 2020 homicide data. Short and long-term trends in homicide are examined at the national, provincial/territorial and census metropolitan area levels. Gang-related homicides, firearm-related homicides, intimate partner homicides, and homicides committed by youth are also explored. This Juristat also presents data for which complete information regarding Indigenous identity has been reported for both victims and accused persons, regardless of gender.
Release date: 2021-11-25 - Articles and reports: 36-28-0001202101100001Description:
While the primary reason for international students being in Canada is for study purposes, they may also participate in the labour market. Increases over the past two decades in the number of international students, alongside programs designed to facilitate their availability to work while studying, parallel a growing role played by this population in the Canadian labour market. This article assesses the extent to which international students who intended to study at the postsecondary level were engaged in the labour market.
Release date: 2021-11-24
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Journals and periodicals (2)
Journals and periodicals (2) ((2 results))
- Journals and periodicals: 82-625-XGeography: CanadaDescription: Health fact sheets will include short, focused, single-theme analysis documents. Over the course of the series, analysis will include topics on: Health conditions, lifestyle, well-being, disability, prevention and detection of disease, deaths, pregnancy and birth, health care services and environmental factors.Release date: 2021-10-27
- Journals and periodicals: 91-209-XGeography: CanadaDescription:
The Report on the Demographic Situation in Canada analyses recent demographic patterns at the national, provincial and subprovincial levels. Trends in population growth and the evolution of the various components of Canada's population growth - fertility, mortality and migration (interprovincial and international) - as well as marital status, are examined. The Report on the Demographic Situation in Canada has been published annually or biennially since 1985. Beginning in 2011, the Report is available as a dynamic, internet-only publication in order to provide the most recent data and analyses on Canadian demographics as soon as they are available.
Release date: 2021-07-14
- Date modified: