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All (10,021)

All (10,021) (0 to 10 of 10,021 results)

  • 1. Natural resource indicators second quarter 2024
    Stats in brief: 11-001-X202426816361
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-24
  • 2. Monthly Survey of Manufacturing: Flash estimate August 2024
    Stats in brief: 11-001-X202426824744
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-24
  • 3. The 2020 to 2023 revisions of the National Tourism Indicators
    Articles and reports: 13-605-X202400100004
    Description: This article explains the impact of new and revised data on the National Tourism Indicators (NTI). With the release of the fourth quarter 2023 estimates of the NTI in March 2024, all data were revised from the first quarter of 2020 to the third quarter of 2023. Estimates for all of 2023 were revised again with the release of the first quarter of 2024 NTI in June 2024, now including the fourth quarter of 2023.
    Release date: 2024-09-23
  • 4. National tourism indicators second quarter 2024
    Stats in brief: 11-001-X20242673389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-23
  • 5. Industrial product and raw materials price indexes August 2024
    Stats in brief: 11-001-X20242643556
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-20
  • 6. Retail trade July 2024
    Stats in brief: 11-001-X20242643660
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-20
  • 7. Interpreting population totals from the Labour Force Survey
    Articles and reports: 75-005-M2024004
    Description: This article provides information about population totals in the Labour Force Survey (LFS), including details on who is included in the survey target population, and a description of the methodology used to produce monthly population totals in the LFS. The note also provides guidance on how to interpret population statistics in the LFS, and discusses the extent to which the LFS can be used to examine disaggregated labour market indicators for new immigrants and non-permanent residents.
    Release date: 2024-09-20
  • 8. 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: 2024-09-20
  • 9. The Business and Community Newsletter
    Journals and periodicals: 11-632-X
    Description: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.
    Release date: 2024-09-19
  • 10. Energy-related research and development expenditures 2022
    Stats in brief: 11-001-X202426316344
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-19
Stats in brief (2,660)

Stats in brief (2,660) (50 to 60 of 2,660 results)

  • 51. Study: Measuring the language-related characteristics of occupations using the Occupational and Skills Information System
    Stats in brief: 11-001-X202422037988
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-07
  • 52. Study: Canadian labour force: What happens after the baby boomers retire?
    Stats in brief: 11-001-X202421938366
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-08-06
  • 53. Survey of Innovation and Business Strategy 2022
    Stats in brief: 11-001-X20242134881
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-31
  • 54. Building construction price indexes second quarter 2024
    Stats in brief: 11-001-X202421218843
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-30
  • 55. Short-term rentals in the Canadian housing market
    Stats in brief: 11-621-M2024010
    Description: The paper focuses on the subset of short-term rentals (STRs) that could potentially serve as long-term housing. This subset of STRs, referred to as potential long-term dwellings (PLTDs), is intended to capture STR units that are not serving as anyone’s primary residence, but could potentially function as long-term housing (either as owner-occupied or rental units). The PLTD subset is compared with total housing units (owned or rented) at the national, provincial and territorial levels, as well as in major census metropolitan areas and in tourist areas.
    Release date: 2024-07-30
  • 56. The role of short-term rentals in the Canadian housing market
    Stats in brief: 11-627-M2024032
    Description: This infographic is a visual representation of short-term rental (STR) activity across Canada, focusing particularly on the subset of STRs that could potentially be used for long-term housing. This subset of STRs is referred to as potential long-term dwellings (PLTDs), it comprises entire units listed for more than 180 days a year, excluding vacation-type properties.
    Release date: 2024-07-30
  • 57. Police-reported crime statistics in Canada 2023
    Stats in brief: 11-001-X20242074751
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-25
  • 58. Police-reported crime in Canada, 2023
    Stats in brief: 11-627-M2024030
    Description: Key statistics about crime in Canada are presented in this infographic. Findings on changes to the Crime Severity Index (CSI) at the national and provincial, territorial levels are presented. Also included are the categories of crime which were reported in 2023.
    Release date: 2024-07-25
  • 59. Research to Insights: Challenges and Opportunities in Innovation, Technology Adoption and Productivity
    Stats in brief: 11-631-X2024005
    Description: This presentation explores linkages between innovation, technology adoption and productivity. It highlights recent estimates of labour and multifactor productivity growth, drawing on recent surveys that can be used to profile the innovation and technological stance of Canadian businesses. It is intended to support ongoing research on the competitiveness of Canada’s economy.
    Release date: 2024-07-24
  • 60. Continuing improvement in university finances 2022/2023
    Stats in brief: 11-001-X20242053308
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-23
Articles and reports (7,040)

Articles and reports (7,040) (50 to 60 of 7,040 results)

  • 51. 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
  • 52. 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
  • 53. 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
  • 54. 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
  • 55. 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
  • 56. 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
  • 57. 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
  • 58. 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
  • 59. 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
  • 60. 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 (321)

Journals and periodicals (321) (0 to 10 of 321 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: 2024-09-20
  • 2. The Business and Community Newsletter
    Journals and periodicals: 11-632-X
    Description: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.
    Release date: 2024-09-19
  • 3. 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: 2024-09-18
  • 4. 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: 2024-09-13
  • 5. Insights on Canadian Society
    Journals and periodicals: 75-006-X
    Geography: Canada
    Description: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.
    Release date: 2024-09-13
  • 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: 2024-09-12
  • 7. Analytical Studies: Methods and References
    Journals and periodicals: 11-633-X
    Description: Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.
    Release date: 2024-09-11
  • 8. 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: 2024-09-03
  • 9. 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: 2024-08-28
  • 10. 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: 2024-08-20
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