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  • 1. Gross domestic product, income and expenditure second quarter 2024
    Stats in brief: 11-001-X20242433278
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-30
  • 2. Gross domestic product by industry June 2024
    Stats in brief: 11-001-X20242433569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-30
  • 3. Canada's balance of international payments second quarter 2024
    Stats in brief: 11-001-X20242421021
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-29
  • 4. Payroll employment, earnings and hours, and job vacancies June 2024
    Stats in brief: 11-001-X20242423555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-29
  • 5. Most prevalent jobs of young master’s degree graduates by detailed field of study
    Articles and reports: 36-28-0001202400800001
    Description: Investing in a postsecondary education is an important decision in the lives of young people, because it may lead to significantly higher lifetime earnings, which may vary substantially across different disciplines. The purpose of this short article is to present results for master’s degree graduates aged 25 to 34 collected on the 2021 Census of Population. Only individuals who worked during the census reference week (May 2 to 8, 2021) and who completed a Canadian master’s degree program are included.
    Release date: 2024-08-28
  • 6. Differences in confidence in public institutions across generations of Canadians
    Articles and reports: 36-28-0001202400800002
    Description: Confidence in public institutions involves a perception about their general quality and performance. In Canada, levels of confidence in public institutions vary across generations and racialized groups. Using data from the 2020 General Social Survey, this study provides insights on generational differences in confidence in the police, the justice system and courts, the federal Parliament, and the Canadian media.
    Release date: 2024-08-28
  • 7. Technology adoption by women-owned businesses in Canada
    Articles and reports: 36-28-0001202400800003
    Description: Technology adoption is essential for improving the growth, productivity and competitiveness of businesses. This paper links two cycles (2017 and 2019) of the Survey of Innovation and Business Strategy with the Canadian Employer–Employee Dynamics Database to study the use of advanced and emerging technologies by women- and men-owned businesses in Canada.
    Release date: 2024-08-28
  • 8. Changes in workplace accommodations among employed Canadians with disabilities, 2017 to 2022
    Articles and reports: 36-28-0001202400800004
    Description: Work arrangements changed during the COVID-19 pandemic, as organizations switched to working from home on a large scale and used digital technologies to adapt to physical distancing mandates. It is largely unknown how changes to work arrangements since the onset of the COVID-19 pandemic have impacted persons with disabilities (PWDs) in Canada. This article focuses on whether needs and unmet needs for WPAs among employed Canadians with disabilities have changed since 2017, with the widespread deployment of working from home and digital technologies.
    Release date: 2024-08-28
  • 9. Model-based principal field crop estimates July 2024
    Stats in brief: 11-001-X202424112721
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-28
  • 10. Economic and Social Reports August 2024
    Stats in brief: 11-001-X202424122588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-28
Stats in brief (2,687)

Stats in brief (2,687) (2,640 to 2,650 of 2,687 results)

Articles and reports (7,030)

Articles and reports (7,030) (40 to 50 of 7,030 results)

  • 41. 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
  • 42. 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
  • 43. Comments by Jae Kwang Kim and Yonghyun Kwon on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100007
    Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.
    Release date: 2024-06-25
  • 44. Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples
    Articles and reports: 12-001-X202400100008
    Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.
    Release date: 2024-06-25
  • 45. Authors’ response to comments on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100009
    Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.
    Release date: 2024-06-25
  • 46. Comments by Aditi Sen on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100010
    Description: This discussion summarizes the interesting new findings around measurement errors in opt-in surveys by Kennedy, Mercer and Lau (KML). While KML enlighten readers about “bogus responding” and possible patterns in them, this discussion suggests combining these new-found results with other avenues of research in nonprobability sampling, such as improvement of representativeness.
    Release date: 2024-06-25
  • 47. Comments by Michael R. Elliott on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100011
    Description: Kennedy, Mercer, and Lau explore misreporting by respondents in non-probability samples and discover a new feature, namely that of deliberate misreporting of demographic characteristics. This finding suggests that the “arms race” between researchers and those determined to disrupt the practice of social science is not over and researchers need to account for such respondents if using high-quality probability surveys to help reduce error in non-probability samples.
    Release date: 2024-06-25
  • 48. Comments by J. Michael Brick on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
    Articles and reports: 12-001-X202400100012
    Description: Nonprobability samples are quick and low-cost and have become popular for some types of survey research. Kennedy, Mercer and Lau examine data quality issues associated with opt-in nonprobability samples frequently used in the United States. They show that the estimates from these samples have serious problems that go beyond representativeness. A total survey error perspective is important for evaluating all types of surveys.
    Release date: 2024-06-25
  • 49. Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith
    Articles and reports: 12-001-X202400100013
    Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.
    Release date: 2024-06-25
  • 50. Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples
    Articles and reports: 12-001-X202400100014
    Description: This paper is an introduction to the special issue on the use of nonprobability samples featuring three papers that were presented at the 29th Morris Hansen Lecture by Courtney Kennedy, Yan Li and Jean-François Beaumont.
    Release date: 2024-06-25
Journals and periodicals (322)

Journals and periodicals (322) (20 to 30 of 322 results)

  • 21. 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
  • 22. 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
  • 23. Environment Fact Sheets
    Journals and periodicals: 16-508-X
    Description: Environment fact sheets will include short, focused, single-theme analysis on key issues within the changing environment with regards to all Canadians. Over the course of the series, analysis will include topics on: air and climate, pollution and waste, environmental protection and quality, and natural resources.
    Release date: 2024-06-06
  • 24. Spotlight on Canadians: Results from the General Social Survey
    Journals and periodicals: 89-652-X
    Geography: Canada
    Description: This publication presents key highlights and results from the General Social Survey on the topics of caregiving and care receiving; social identity; giving, volunteering and participating; victimization; time use; and family.
    Release date: 2024-06-05
  • 25. Videos - Statistics Canada
    Journals and periodicals: 11-629-X
    Description: Statistics Canada produces videos that present key communications messages to multiple publics in an easy-to-understand way. As a communications tool, they make complex information and ideas easy to interpret by telling a visual story. Statistics Canada has videos on a variety of topics.
    Release date: 2024-05-28
  • 26. Annual Demographic Estimates: Subprovincial Areas
    Journals and periodicals: 91-214-X
    Description: This publication presents annual estimates of population for subprovincial areas of Canada, such as census metropolitan areas (CMAs), census agglomerations (CAs), economic regions (ERs) and census divisions (CDs). The following components of population change are also presented: births, deaths, immigration, emigration, returning emigration, net temporary emigration, net non-permanent residents and interprovincial and intraprovincial migration. The estimates are based on the most recent census of population results available at the time of publication, which have been adjusted for census net undercoverage (including adjustment for incompletely enumerated Indian reserves). This publication also contains highlights and an analysis of the most recent demographic trends, as well as a description of the concepts, methods and data quality of the estimates.
    Release date: 2024-05-22
  • 27. Reports on Special Business Projects
    Journals and periodicals: 18-001-X
    Geography: Canada
    Description: Reports on Special Business Projects is an occasional series that focuses primarily on the results of special surveys or special projects conducted by the Centre for Special Business Projects. The reports cover a wide range of topics, which include business performance and trends, custom tabulations of business data, economic impact studies, new measurement frameworks and indicators to support program development, monitoring and performance assessment, territorial economic indicators and other special studies.
    Release date: 2024-05-17
  • 28. Just the Facts
    Journals and periodicals: 89-28-0001
    Description: Short and focused data tables related to current events.
    Release date: 2024-05-15
  • 29. Analytical Studies Branch Research Paper Series
    Journals and periodicals: 11F0019M
    Geography: Canada
    Description: The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies and Modelling Branch staff and collaborators. The Series is intended to stimulate discussion 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. Readers of the Series are encouraged to contact the authors with their comments and suggestions. All the papers in the Analytical Studies Branch Research Paper Series go through institutional and 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: 2024-05-08
  • 30. Housing Statistics in Canada
    Journals and periodicals: 46-28-0001
    Description: This publication provides insights on housing data and analysis at Statistics Canada. Readers can access in-depth information on the latest housing data released by the Agency. The series relies on both descriptive and analytical methods to analyze administrative and survey data sets that relate to housing.
    Release date: 2024-05-08
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