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All (7,495) (50 to 60 of 7,495 results)

  • Articles and reports: 12-001-X201900200004
    Description:

    Benchmarking lower level estimates to upper level estimates is an important activity at the United States Department of Agriculture’s National Agricultural Statistical Service (NASS) (e.g., benchmarking county estimates to state estimates for corn acreage). Assuming that a county is a small area, we use the original Fay-Herriot model to obtain a general Bayesian method to benchmark county estimates to the state estimate (the target). Here the target is assumed known, and the county estimates are obtained subject to the constraint that these estimates must sum to the target. This is an external benchmarking; it is important for official statistics, not just NASS, and it occurs more generally in small area estimation. One can benchmark these estimates by “deleting” one of the counties (typically the last one) to incorporate the benchmarking constraint into the model. However, it is also true that the estimates may change depending on which county is deleted when the constraint is included in the model. Our current contribution is to give each small area a chance to be deleted, and we call this procedure the random deletion benchmarking method. We show empirically that there are differences in the estimates as to which county is deleted and that there are differences of these estimates from those obtained from random deletion as well. Although these differences may be considered small, it is most sensible to use random deletion because it does not give preferential treatment to any county and it can provide small improvement in precision over deleting the last one benchmarking as well.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200005
    Description:

    We present an approach for imputation of missing items in multivariate categorical data nested within households. The approach relies on a latent class model that (i) allows for household-level and individual-level variables, (ii) ensures that impossible household configurations have zero probability in the model, and (iii) can preserve multivariate distributions both within households and across households. We present a Gibbs sampler for estimating the model and generating imputations. We also describe strategies for improving the computational efficiency of the model estimation. We illustrate the performance of the approach with data that mimic the variables collected in typical population censuses.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200006
    Description:

    This paper presents a new algorithm to solve the one-dimensional optimal stratification problem, which reduces to just determining stratum boundaries. When the number of strata H and the total sample size n are fixed, the stratum boundaries are obtained by minimizing the variance of the estimator of a total for the stratification variable. This algorithm uses the Biased Random Key Genetic Algorithm (BRKGA) metaheuristic to search for the optimal solution. This metaheuristic has been shown to produce good quality solutions for many optimization problems in modest computing times. The algorithm is implemented in the R package stratbr available from CRAN (de Moura Brito, do Nascimento Silva and da Veiga, 2017a). Numerical results are provided for a set of 27 populations, enabling comparison of the new algorithm with some competing approaches available in the literature. The algorithm outperforms simpler approximation-based approaches as well as a couple of other optimization-based approaches. It also matches the performance of the best available optimization-based approach due to Kozak (2004). Its main advantage over Kozak’s approach is the coupling of the optimal stratification with the optimal allocation proposed by de Moura Brito, do Nascimento Silva, Silva Semaan and Maculan (2015), thus ensuring that if the stratification bounds obtained achieve the global optimal, then the overall solution will be the global optimum for the stratification bounds and sample allocation.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200007
    Description:

    When fitting an ordered categorical variable with L > 2 levels to a set of covariates onto complex survey data, it is common to assume that the elements of the population fit a simple cumulative logistic regression model (proportional-odds logistic-regression model). This means the probability that the categorical variable is at or below some level is a binary logistic function of the model covariates. Moreover, except for the intercept, the values of the logistic-regression parameters are the same at each level. The conventional “design-based” method used for fitting the proportional-odds model is based on pseudo-maximum likelihood. We compare estimates computed using pseudo-maximum likelihood with those computed by assuming an alternative design-sensitive robust model-based framework. We show with a simple numerical example how estimates using the two approaches can differ. The alternative approach is easily extended to fit a general cumulative logistic model, in which the parallel-lines assumption can fail. A test of that assumption easily follows.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200008
    Description:

    High nonresponse occurs in many sample surveys today, including important surveys carried out by government statistical agencies. An adaptive data collection can be advantageous in those conditions: Lower nonresponse bias in survey estimates can be gained, up to a point, by producing a well-balanced set of respondents. Auxiliary variables serve a twofold purpose: Used in the estimation phase, through calibrated adjustment weighting, they reduce, but do not entirely remove, the bias. In the preceding adaptive data collection phase, auxiliary variables also play a major role: They are instrumental in reducing the imbalance in the ultimate set of respondents. For such combined use of auxiliary variables, the deviation of the calibrated estimate from the unbiased estimate (under full response) is studied in the article. We show that this deviation is a sum of two components. The reducible component can be decreased through adaptive data collection, all the way to zero if perfectly balanced response is realized with respect to a chosen auxiliary vector. By contrast, the resisting component changes little or not at all by a better balanced response; it represents a part of the deviation that adaptive design does not get rid of. The relative size of the former component is an indicator of the potential payoff from an adaptive survey design.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200009
    Description:

    In recent years, there has been a strong interest in indirect measures of nonresponse bias in surveys or other forms of data collection. This interest originates from gradually decreasing propensities to respond to surveys parallel to pressures on survey budgets. These developments led to a growing focus on the representativeness or balance of the responding sample units with respect to relevant auxiliary variables. One example of a measure is the representativeness indicator, or R-indicator. The R-indicator is based on the design-weighted sample variation of estimated response propensities. It pre-supposes linked auxiliary data. One of the criticisms of the indicator is that it cannot be used in settings where auxiliary information is available only at the population level. In this paper, we propose a new method for estimating response propensities that does not need auxiliary information for non-respondents to the survey and is based on population auxiliary information. These population-based response propensities can then be used to develop R-indicators that employ population contingency tables or population frequency counts. We discuss the statistical properties of the indicators, and evaluate their performance using an evaluation study based on real census data and an application from the Dutch Health Survey.

    Release date: 2019-06-27

  • Articles and reports: 12-001-X201900200010
    Description:

    Being a calibrated statistician means using procedures that in long-run practice basically follow the guidelines of Neyman’s approach to frequentist inference, which dominates current statistical thinking. Being a sage (i.e., wise) statistician when confronted with a particular data set means employing some Bayesian and Fiducial modes of thinking to moderate simple Neymanian calibration, even if not doing so formally. This article explicates this marriage of ideas using the concept of conditional calibration, which takes advantage of more recent simulation-based ideas arising in Approximate Bayesian Computation.

    Release date: 2019-06-27

  • Stats in brief: 11-001-X20191783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-27

  • Stats in brief: 11-001-X20191783555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-27

  • Articles and reports: 51-004-X2019008
    Description:

    This report presents monthly aircraft movements for Canadian airports with NAV CANADA air traffic control towers and NAV CANADA flight service stations.

    Release date: 2019-06-27
Stats in brief (1,503)

Stats in brief (1,503) (30 to 40 of 1,503 results)

  • Stats in brief: 11-001-X20191764600
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-25

  • Stats in brief: 11-627-M2019023
    Description:

    This infographic presents the 2017 results for the volumes of wastewater (sewage) processed by Municipal Wastewater Systems in Canada. The infographic displays the volumes (in millions of cubic metres) of wastewater (sewage) discharged in each province by treatment category. The categories of treatment are primary, secondary, tertiary and no treatment. The volumes discharged from combined sewers is also displayed for each province.

    Release date: 2019-06-25

  • Stats in brief: 11-001-X201917520246
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-24

  • Stats in brief: 11-627-M2019041
    Description:

    This infographic presents results from the 2018/2019 Survey on Maternal Health, relating to the mental health of mothers who recently gave birth in Canada.

    Release date: 2019-06-24

  • Stats in brief: 11-001-X201917219277
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-21

  • Stats in brief: 11-001-X201917020483
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-19

  • Stats in brief: 11-001-X201916911703
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-18

  • Stats in brief: 11-001-X201916920406
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-18

  • Stats in brief: 11-001-X201916920468
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-06-18

  • Stats in brief: 11-631-X2019005
    Description:

    This presentation explores the evolving labour market in Atlantic Canada, and how it has been - and continues to be - influenced by socio-demographic factors, such as fertility, immigration and interprovincial migration. It examines the current labour market situation within the Atlantic region, as well as existing opportunities and future directions. Strategies being undertaken by Statistics Canada to provide more local and granular labour market information, and emerging issues of interest, such as the digital economy, are also presented.

    Release date: 2019-06-17
Articles and reports (5,680)

Articles and reports (5,680) (0 to 10 of 5,680 results)

  • Articles and reports: 82-003-X201900700001
    Description:

    Statistics Canada developed a new Physical Activity for Youth Questionnaire (PAYQ) to address the limitations of previous self-reporting and objective measurement. PAYQ was subsequently implemented in both the Canadian Health Measures Survey (2014-2015) and the Canadian Community Health Survey (2015-2016). Using those surveys, this study compares accelerometer-measured and self-reported physical activity from the new PAYQ among Canadian youth.

    Release date: 2019-07-17

  • Articles and reports: 82-003-X201900700002
    Description:

    For the first time, the 2015 and 2016 Canadian Community Health Survey collected national data on bed sharing. This study uses these data to examine the prevalence and frequency of bed sharing in Canada by selected characteristics of the mother, as well as reported reasons for this practice.

    Release date: 2019-07-17

  • Articles and reports: 82-003-X201900700003
    Description:

    Using data are from the Canadian Community Health Survey - Nutrition for 2004 and 2015, this study describes changes in beverage consumption between 2004 and 2015, and how these changes relate to existing recommendations in the 2007 Canada Food Guide.

    Release date: 2019-07-17

  • Articles and reports: 13-605-X201900100009
    Description:

    In this paper a preliminary set of statistical estimates of the amounts invested in Canadian data, databases and data science in recent years are presented. The results indicate rapid growth in investment in data, databases and data science over the last three decades and a significant accumulation of these kinds of capital over time.

    Release date: 2019-07-10

  • Articles and reports: 11F0019M2019015
    Description:

    Since 2016, Internet use rates among Canadians aged 15 to 64 have reached near-saturation (97.2%) levels. However, the diffusion of information and communications technology (ICT), including the Internet, has proceeded at a much slower pace among Canadians aged 65 and older. Given that Canada is an aging society, knowing about the factors associated with Internet use among seniors is crucial for ensuring their access to it. This study uses four cycles of the General Social Survey (2007, 2010, 2013 and 2016) to describe changes in Canadian seniors’ rates of Internet use, and examines the sociodemographic factors associated with such use.

    Release date: 2019-07-10

  • Articles and reports: 89-657-X2019010
    Geography: Province or territory
    Description:

    The main objective of this report is to provide a statistical overview of the recent situation of Inuktitut in Nunavut and of its speakers, based on 2016 Census data, by showing how the use of the language at home and at work has changed since 2001.

    This report also aims to provide information to various stakeholders who work to support the protection, promotion and revitalization of Inuktut in communities and among population segments, where its use is more limited or is declining over time.

    Release date: 2019-07-09

  • Articles and reports: 62F0014M2019005
    Description:

    This document describes the updated methodology for Investment Banking Services Price Index (IBSPI).

    Release date: 2019-07-08

  • Articles and reports: 81-599-X2019001
    Description:

    This fact sheet provides a portrait of young Canadians aged 20 to 24 years old, who were not in education, employment or training (NEET) in 2018/2019. It explores in-depth gender-based differences, the effect of these young Canadians’ highest level of education, as well as the impact of immigration and aboriginal identity. It also gives international and interprovincial comparisons.

    Release date: 2019-07-05

  • Articles and reports: 85-002-X201900100012
    Description:

    This Juristat article examines police-reported violent crimes against young women and girls in Northern Canada. Rates are provided at the national and provincial levels, as well as for urban, rural and census metropolitan areas. The nature and extent of violence against young women and girls in the North is compared with the South throughout.

    Release date: 2019-07-04

  • Articles and reports: 89-28-0001201800100007
    Description:

    These tables present values of Canada's monthly imports and duties collected on imported goods. The tables include Canada's total import and duty values, and these values for dairy products, iron and steel products, aluminum products, vehicles, and for all other goods. Each table includes Canada's total imports and imports from the United States.

    Release date: 2019-07-03
Journals and periodicals (312)

Journals and periodicals (312) (0 to 10 of 312 results)

  • 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: 2019-07-18

  • Journals and periodicals: 75F0002M
    Description:

    This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.

    Release date: 2019-07-18

  • 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 2.571 for 2017 and a five-year impact factor of 3.126. All articles are indexed in PubMed. Our online catalogue is free and receives more than 500,000 visits per year. External submissions are welcome.

    Release date: 2019-07-17

  • Journals and periodicals: 89-20-0002
    Description:

    As Statistics Canada celebrates a significant milestone in 2018, it is time to take a look back at our history to see where we have been and what we have done over the past century. At the same time, it is a chance to reflect on where the agency is headed in the future. This series of articles shows how our work has evolved since 1918: where we started, how we have evolved and what we do now.

    Release date: 2019-07-17

  • Journals and periodicals: 11F0019M
    Geography: Canada
    Description:

    The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies 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: 2019-07-10

  • Journals and periodicals: 89-657-X
    Description:

    This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.

    Release date: 2019-07-09

  • 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: 2019-07-08

  • Journals and periodicals: 89-28-0001
    Description:

    Short and focused data tables related to current events.

    Release date: 2019-07-05

  • Journals and periodicals: 81-599-X
    Geography: Canada
    Description:

    The fact sheets in this series provide an "at-a-glance" overview of particular aspects of education in Canada and summarize key data trends in selected tables published as part of the Pan-Canadian Education Indicators Program (PCEIP).

    The PCEIP mission is to publish a set of statistical measures on education systems in Canada for policy makers, practitioners and the general public to monitor the performance of education systems across jurisdictions and over time. PCEIP is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada (CMEC).

    Release date: 2019-07-05

  • Journals and periodicals: 85-002-X
    Geography: Canada
    Description:

    This publication provides in-depth analysis and detailed statistics on a variety of topics and issues related to justice and public safety. Topics include crime, victimization, homicide, civil, family and criminal courts, and correctional services. Issues related to community safety, and perceptions of safety are also covered. The publication is intended for those with an interest in Canada's justice and public safety systems as well as those who plan, establish, administer and evaluate programs and projects related to justice and public safety.

    Release date: 2019-07-04
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