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All (9,991) (10 to 20 of 9,991 results)

  • 11. Economic and Social Reports June 2024
    Stats in brief: 11-001-X202417822588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 12. Weekly aircraft movements June 8 to 14, 2024
    Stats in brief: 11-001-X202417823765
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 13. National tourism indicators first quarter 2024
    Stats in brief: 11-001-X20241783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 14. Economic and Social Reports
    Journals and periodicals: 36-28-0001
    Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
    Release date: 2024-06-26
  • 15. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
    Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25
  • 16. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25
  • 17. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25
  • 18. Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data
    Articles and reports: 12-001-X202400100004
    Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
    Release date: 2024-06-25
  • 19. Author’s response to comments on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100005
    Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
    Release date: 2024-06-25
  • 20. Comments by Takumi Saegusa on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”: Causal inference, non-probability sample, and finite population
    Articles and reports: 12-001-X202400100006
    Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
    Release date: 2024-06-25
Stats in brief (2,664)

Stats in brief (2,664) (0 to 10 of 2,664 results)

  • 1. Payroll employment, earnings and hours, and job vacancies April 2024
    Stats in brief: 11-001-X20241793555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-27
  • 2. Principal field crop areas June 2024
    Stats in brief: 11-001-X20241794822
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-27
  • 3. Economic and Social Reports June 2024
    Stats in brief: 11-001-X202417822588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 4. Weekly aircraft movements June 8 to 14, 2024
    Stats in brief: 11-001-X202417823765
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 5. National tourism indicators first quarter 2024
    Stats in brief: 11-001-X20241783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 6. Monthly Survey of Manufacturing: Flash estimate May 2024
    Stats in brief: 11-001-X202417724744
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-25
  • 7. Consumer Price Index May 2024
    Stats in brief: 11-001-X20241773665
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-25
  • 8. Gender diversity of Canadian postsecondary students, 2021/2022
    Stats in brief: 11-627-M2024026
    Description: Using data from the Postsecondary Student Information System (PSIS) and the Census of Population, 2021, this infographic provides information on enrolment in Canadian public postsecondary institutions for transgender and non-binary people.
    Release date: 2024-06-25
  • 9. Quality of early-career employment for Indigenous graduates with a bachelor’s degree
    Stats in brief: 11-627-M2024029
    Description: The infographic uses data from the integrated file of the Postsecondary Student Information System, the 2016 Census, the 2021 Census and the T1 Family File to compare the job quality of Indigenous graduates with a bachelor's degree with that of non-racialized and non-Indigenous graduates two years after graduation. Job quality indicators include employment income, unionization rate, and employer pension plan coverage rate.
    Release date: 2024-06-24
  • 10. Natural resource indicators first quarter 2024
    Stats in brief: 11-001-X202417616361
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-24
Articles and reports (7,004)

Articles and reports (7,004) (0 to 10 of 7,004 results)

  • 1. Earnings and Wages – A guide to using indicators from the Survey of Employment, Payrolls and Hours and the Labour Force Survey
    Articles and reports: 75-005-M2024002
    Description: Survey of Employment, Payrolls and Hours (SEPH) and the Labour Force Survey (LFS) each provide monthly indicators of pay received by employees. Year-over-year variations in average weekly earnings (from SEPH) and average hourly wages (from LFS) provide information on current wage dynamics. This guide provides information to help analysts use each indicator by highlighting their key conceptual and measurement differences. It also outlines possible causes of variations for each indicator and provides general examples of using both measures.
    Release date: 2024-06-27
  • 2. Foreign workers in Canada: Differences in the transition to permanent residency across work permit programs
    Articles and reports: 36-28-0001202400600001
    Description: Obtaining a work permit enables foreign nationals to work in Canada temporarily, and for many individuals, this serves as a stepping stone toward obtaining permanent residency (PR). This article examines the recent changes in the transition to PR across work permit programs and immigration pathways for individuals who have made the transition. The analysis focuses on work permit holders who are in Canada for work purposes under either the Temporary Foreign Worker Program (TFWP) or the International Mobility Program (IMP).
    Release date: 2024-06-26
  • 3. Retention and recruitment of young skilled minority official language speakers in Canadian provinces
    Articles and reports: 36-28-0001202400600002
    Description: Retaining and recruiting young skilled workers are important for any community, but perhaps even more so for communities where the main language spoken is a minority official language. This article informs the issue by calculating the share of youth who grew up in a province and eventually obtained a postsecondary education, but who left to work in another part of the country (termed “skill loss”). Likewise, the article also looks at young postsecondary graduates who entered a province to work, as a share of that province’s initial population of homegrown young postsecondary graduates (termed “skill gain”).
    Release date: 2024-06-26
  • 4. New businesses since the beginning of the COVID-19 pandemic
    Articles and reports: 36-28-0001202400600003
    Description: Businesses have faced numerous challenges since the beginning of the COVID-19 pandemic. Public health restrictions on business and personal activities aimed at stopping the spread of the virus were associated with a slowing of economic activity. This article examines how new businesses that entered after the beginning of the pandemic fared compared with previous entry cohorts.
    Release date: 2024-06-26
  • 5. Homeowner-renter dwelling, neighbourhood and life satisfaction gaps
    Articles and reports: 36-28-0001202400600004
    Description: On average, individuals who own their dwelling report higher satisfaction with their dwelling, neighbourhood and life than renters. These differences may reflect a positive causal impact of ownership on satisfaction. However, these differences could also reflect compositional effects, such as differences in household, dwelling and neighbourhood characteristics. Using the 2021 Canadian Housing Survey, this study provides a comparison of renters’ and owners’ reported dwelling, neighbourhood and life satisfaction accounting for compositional effects.
    Release date: 2024-06-26
  • 6. Socioeconomic profile of working-age immigrants in same-sex couples in Canada from 2000 to 2020
    Articles and reports: 36-28-0001202400600005
    Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.
    Release date: 2024-06-26
  • 7. An update on the profile of children with affirmative responses to the 2021 Census questions on difficulties with activities of daily living
    Articles and reports: 36-28-0001202400600006
    Description: This study presents an updated sociodemographic profile of children aged 0 to 14 years with affirmative responses largely based on parent reports to the questions on the 2021 Census long-form questionnaire about difficulties with activities of daily living.
    Release date: 2024-06-26
  • 8. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
    Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25
  • 9. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25
  • 10. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25
Journals and periodicals (323)

Journals and periodicals (323) (0 to 10 of 323 results)

  • 1. Labour Statistics: Technical Papers
    Journals and periodicals: 75-005-M
    Description: The papers in this series cover a variety of technical topics related to the Centre for Labour Market Information programs, such as the Labour Force Survey, the Survey of Employment Payrolls and Hours, the Employment insurance Coverage Survey, the Employment Insurance Statistics program as well as data from administrative sources.
    Release date: 2024-06-27
  • 2. Economic and Social Reports
    Journals and periodicals: 36-28-0001
    Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
    Release date: 2024-06-26
  • 3. Statistics Canada - Infographics
    Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-06-25
  • 4. Survey Methodology
    Journals and periodicals: 12-001-X
    Geography: Canada
    Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
    Release date: 2024-06-25
  • 5. Population Projections for Canada, Provinces and Territories
    Table: 91-520-X
    Description: This report presents the results of the population projections by age group and sex for Canada, the provinces and territories. These projections are based on assumptions that take into account the most recent trends relating to components of population growth, particularly fertility, mortality, immigration, emigration and interprovincial migration.

    The detailed data tables are available in CODR: tables 1710005701 and 1710005801.

    Release date: 2024-06-24
  • 6. Analysis in Brief
    Journals and periodicals: 11-621-M
    Geography: Canada
    Description: The papers published in the Analysis in Brief analytical series shed light on current economic issues. Aimed at a general audience, they cover a wide range of topics including National Accounts, business enterprises, trade, transportation, agriculture, the environment, manufacturing, science and technology, services, etc.
    Release date: 2024-06-20
  • 7. Health Reports
    Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

    Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.
    Release date: 2024-06-19
  • 8. Prices Analytical Series
    Journals and periodicals: 62F0014M
    Geography: Canada
    Description: The Prices Analytical Series provides research and analysis pertaining to price indices. The Analytical series is intended to stimulate discussion on a variety of topics related to the analysis of the evolution of prices through time or space.
    Release date: 2024-06-18
  • 9. Labour Statistics at a Glance
    Journals and periodicals: 71-222-X
    Description: Labour Statistics at a Glance features short analytical articles on specific topics of interest related to Canada's labour market. The studies examine recent or historical trends using data produced by the Centre for Labour Market Information, i.e., the Labour Force Survey, the Survey of Employment Payrolls and Hours, the Job Vacancy and Wage Survey, the Employment Insurance Coverage Survey and the Employment Insurance Statistics Program.
    Release date: 2024-06-13
  • 10. Health Research Working Paper Series
    Journals and periodicals: 82-622-X
    Geography: Canada
    Description: The Health Research Working Paper Series publishes: analytical work-in-progress; background documentation for specific research projects (e.g methodological papers); lengthy reports intended for specific clients, and; compendiums of data tables. Publication in this series does not preclude publication of specific aspects of the work in a peer-reviewed journal.
    Release date: 2024-06-11
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