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All (10,003) (50 to 60 of 10,003 results)

  • 51. 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
  • 52. 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
  • 53. 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
  • 54. 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
  • 55. 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
  • 56. 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
  • 57. 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
  • 58. 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
  • 59. 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
  • 60. 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
Stats in brief (2,673)

Stats in brief (2,673) (30 to 40 of 2,673 results)

Articles and reports (7,007)

Articles and reports (7,007) (5,830 to 5,840 of 7,007 results)

  • 5,831. A New Approach to Non-CMA/CA Areas Archived
    Articles and reports: 21-601-M1996031
    Description:

    This paper looks at non-metropolitan areas in Canada in depth by breaking them down into three smaller areas using the Metropolitan Influence Zones (MIZ) conceptual framework. It then looks at the differences between these areas.

    Release date: 2000-01-14
  • 5,832. Hobby Farming: For Pleasure or Profit? Archived
    Articles and reports: 21-601-M1998033
    Description:

    This paper examines hobby farming in Canada and the factors that keep hobby farmers farming.

    Release date: 2000-01-14
  • 5,833. Employment Patterns in Non-metro Canada Archived
    Articles and reports: 21-601-M1998035
    Description:

    This paper examines employment growth rates in rural and small town (RST) Canada, compared with larger urban centres.

    Release date: 2000-01-14
  • 5,834. Rural and Small Town Population Is Growing in the 1990s Archived
    Articles and reports: 21-601-M1998036
    Description:

    This paper looks at the increase in population in rural and small town Canada.

    Release date: 2000-01-14
  • 5,835. Off-farm Work by Census-farm Operators: An Overview of Structure and Mobility Patterns Archived
    Articles and reports: 21-601-M1998038
    Description:

    This paper provides descriptive statistics on off-farm labour supply and farm/off-farm labour reallocation for Canadian farmers. It uses cross-sectional data and cross-sectional panel data, respectively, obtained from the Canadian Census of Agriculture.

    Release date: 2000-01-14
  • 5,836. Human Capital and Rural Development: What Are the Linkages? Archived
    Articles and reports: 21-601-M1999039
    Description:

    This paper examines the relation between human capital and rural development.

    Release date: 2000-01-14
  • 5,837. Computer Use and Internet Use by Members of Rural Households Archived
    Articles and reports: 21-601-M1999040
    Description:

    This paper looks at where Canadians in rural and small town households are using computers and the Internet (home, work, etc.) and what the common usages are (general browsing, e-mail, etc.).

    Release date: 2000-01-14
  • 5,838. RRSP Contributions by Canadian Farm Producers in 1994 Archived
    Articles and reports: 21-601-M1999041
    Description:

    This study describes registered retirement savings plans (RRSP) contribution habits by farmers. It also looks at the specific characteristics of farm producers and compares them with other groups of workers.

    Release date: 2000-01-14
  • 5,839. Challenges Facing Canada's Internet Service Providers: A Snapshot from a Survey of ISPs Archived
    Articles and reports: 63F0002X1999028
    Description:

    This article focuses on characteristics of primary Internet service providers (ISPs), that is, firms reporting that 50% or more of their revenues come from ISP activities. It looks at challenges facing ISPs including barriers to growth, competing in the Internet sector, complaints and practices regarding offensive content and conduct, as well as ISPs' perceptions of what is important to their customers. These items are analysed after classifying ISPs into four different size categories, enabling one to see any differences in perception or conduct between ISPs of varying sizes.

    Release date: 2000-01-10
  • 5,840. Measuring the Attractiveness of R&D Tax Incentives: Canada and Major Industrial Countries Archived
    Articles and reports: 88F0006X1999010
    Description:

    This second edition of R&D tax treatment in Canada: a provincial comparison, uses a method developed by the Conference Board of Canada to compare the tax incentives to do research and development (R&D) in each of the provinces. The results contribute to the analysis of regional differences in science and technology activity in Canada, as part of the work of the Science, Innovation and Electronic Information Division of Statistics Canada.

    An example of a regional difference is the tax incentive to do R&D in a province. There is the federal Scientific Research and Experimental Development tax programme, which has regional variations. Six out of ten provinces have their own incentive programmes and tax rates which differ from province to province. The B-Index analysis of the Conference Board provides a means of comparing tax incentives and of providing an indicator.

    Release date: 1999-12-30
Journals and periodicals (323)

Journals and periodicals (323) (10 to 20 of 323 results)

  • 11. 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
  • 12. 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
  • 13. 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
  • 14. 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
  • 15. 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
  • 16. 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
  • 17. The Eh Sayers Podcast
    Journals and periodicals: 45-20-0003
    Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.
    Release date: 2024-06-06
  • 18. 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
  • 19. 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
  • 20. 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: 2024-05-23
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