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All (10,014) (9,990 to 10,000 of 10,014 results)

  • Articles and reports: 12-001-X197900254832
    Description:

    A Hot Deck imputation procedure is defined to be one where an incomplete response is completed by using values from one or more other records on the same file and the choice of these records varies with the record requiring imputation.

    General approaches to Hot Deck imputation are outlined, with emphasis on the interaction between the edit constraints and the imputation procedures. Distance functions can be constructed on a mixture of categorical and numeric fields, can be modified to take account of the relative importance of fields and can discriminate against less desirable donors. Matching fields may be correlated with missing fields, may be linked with missing fields by edits or may be natural stratification variables; but increasing the number of matching fields does not necessarily result in a better match. It is important to audit the imputation process and to summarize its performance.

    Hot Deck procedures should be evaluated to study the bias and reliability of the estimates, donor usage and frequency of imputation failure in terms of a variety of conditions of the data and variations of the imputation procedure. It appears that the only generally available approach to evaluation is by simulation.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900254833
    Description:

    This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900100001
    Description: This paper discusses the management of information within the context of the information industry and indicates some likely future trends related thereto. The information industry itself is first briefly described. Then the process used in producing information, the organizational structure required for such production, and the legislation relating to the information industry are discussed in turn. Finally, some approaches to solving the problems of the future are suggested.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100002
    Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100003
    Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100004
    Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100005
    Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.

    In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100006
    Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197800254832
    Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.
    Release date: 1978-12-15

  • Articles and reports: 12-001-X197800254833
    Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.

    The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.
    Release date: 1978-12-15
Stats in brief (2,676)

Stats in brief (2,676) (0 to 10 of 2,676 results)

  • Stats in brief: 11-001-X202421323765
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-31

  • Stats in brief: 11-001-X20242133569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-31

  • Stats in brief: 11-001-X20242134881
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-31

  • Stats in brief: 11-001-X202421218843
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-30

  • 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

  • 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

  • Stats in brief: 11-001-X20242073555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-25

  • Stats in brief: 11-001-X20242074751
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-25

  • 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

  • Stats in brief: 11-001-X202420622588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-24
Articles and reports (7,016)

Articles and reports (7,016) (30 to 40 of 7,016 results)

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Articles and reports: 11-621-M2024008
    Description: This article explores results from the survey related to the use of AI in producing goods and delivering services. Furthermore, this article explains the specific types of AI being used, such as machine learning, virtual agents and voice recognition, as well as the impact of AI adoption on tasks performed by employees and on employment levels. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2024-06-20

  • Articles and reports: 82-003-X202400600001
    Description: Extreme heat has significant impacts on mortality. In Canada, past research has analyzed the degree to which non-accidental mortality increases during single extreme heat events; however, few studies have considered multiple causes of death and the impacts of extreme heat events on mortality over longer time periods. This study analyzes the impacts of extreme heat events on nonaccidental, cardiovascular, and respiratory deaths from 2000 to 2020 in 12 of the largest cities in Canada.
    Release date: 2024-06-19

  • Articles and reports: 82-003-X202400600002
    Description: Optimal oral health is an essential element of healthy aging. Oral health problems such as tooth loss, periodontal disease, and dry mouth accumulate throughout adult life and worsen with increasing age. Using data from the 2019/2020 Canadian Health Survey on Seniors, this study explores the link between dental insurance, income, and oral health care access among seniors (aged 65 and over) in Canada. It contributes to the understanding of oral health care among seniors before the implementation of the Canadian Dental Care Plan.
    Release date: 2024-06-19

  • Articles and reports: 62F0014M2024004
    Description: This paper describes the composition of the Consumer Price Index (CPI) basket and the changes introduced with the 2024 basket update, based on 2023 expenditure weights.
    Release date: 2024-06-18
Journals and periodicals (322)

Journals and periodicals (322) (0 to 10 of 322 results)

  • 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: 2024-07-30

  • 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: 2024-07-30

  • Journals and periodicals: 14-28-0001
    Description: Statistics Canada's Quality of Employment in Canada publication is intended to provide Canadians and Canadian organizations with a better understanding of quality of employment using an internationally-supported statistical framework. Quality of employment is approached as a multidimensional concept, characterized by different elements, which relate to human needs in various ways. To cover all relevant aspects, the framework identified seven dimensions and twelve sub-dimensions of quality of employment.
    Release date: 2024-07-25

  • Journals and periodicals: 11-631-X
    Description: Statistics Canada regularly prepares presentations with statistical findings about the country’s economy, society and environment. These presentations may be intended for conferences, meetings with stakeholders, or other events held throughout the year to provide Statistics Canada with an opportunity to promote the role of official statistics and to better understand data users’ needs. This series provides online access to these presentations as well as new presentations created to help communicate research findings on a wide range of subjects to a broad audience.
    Release date: 2024-07-24

  • 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: 2024-07-24

  • 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: 2024-07-22

  • 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: 2024-07-17

  • Journals and periodicals: 89-20-0006
    Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
    Release date: 2024-07-16

  • Journals and periodicals: 98-20-0003
    Description: Once every five years, the Census of Population provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. It is the primary source of sociodemographic data for specific population groups such as lone-parent families, Indigenous peoples, immigrants, seniors and language groups.

    In order to help users of census products to better understand the various Census of Population concepts, Statistics Canada has developed, in the context of the activities of the 2021 Census and previous censuses, a collection of short videos. These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge.

    Release date: 2024-07-10

  • Journals and periodicals: 89-654-X
    Description: The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.
    Release date: 2024-07-08
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