Analysis

COVID-19 A data perspective

COVID-19: A data perspective: Explore key economic trends and social challenges that arise as the COVID-19 situation evolves.

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All (217) (0 to 10 of 217 results)

  • Articles and reports: 88F0006X2011001
    Description:

    This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2011-12-23

  • Journals and periodicals: 88F0006X
    Geography: Canada
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 2011-12-23

  • Articles and reports: 21-004-X201100111412
    Geography: Canada
    Description:

    Statistics Canada administers six surveys per year to collect information on intended, seeded and harvested acreages, yields, production and stocks of principal field crops, and publishes these survey estimates in the Field Crop Reporting Series (FCRS). This paper analyses short-term movements in weekly crop prices from the week before the releases of FCRS to the week after the releases. Field crops included in this study are oats, canola, corn, flax, barley and wheat, while specialty crops studied are sunflower seed, canary seed, field peas, lentils, mustard seed, chick peas and green peas. The data for field crops cover a period from 1990 to 2009 and that for specialty crops cover varying periods from 1992 to 2009 based on their availability. The results reveal that the price changes before and after the official releases of FCRS tend to even out over time. The results also suggest that prices after the releases are as likely to increase as they are to decrease. Based on the findings, the study concludes that the publication of statistics in the FCRS has no systematic effect on crop prices. The results are consistent with the findings of the National Agricultural Statistics Service of the United States Department of Agriculture.

    Release date: 2011-12-22

  • Articles and reports: 12-001-X201100211602
    Description:

    This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211603
    Description:

    In many sample surveys there are items requesting binary response (e.g., obese, not obese) from a number of small areas. Inference is required about the probability for a positive response (e.g., obese) in each area, the probability being the same for all individuals in each area and different across areas. Because of the sparseness of the data within areas, direct estimators are not reliable, and there is a need to use data from other areas to improve inference for a specific area. Essentially, a priori the areas are assumed to be similar, and a hierarchical Bayesian model, the standard beta-binomial model, is a natural choice. The innovation is that a practitioner may have much-needed additional prior information about a linear combination of the probabilities. For example, a weighted average of the probabilities is a parameter, and information can be elicited about this parameter, thereby making the Bayesian paradigm appropriate. We have modified the standard beta-binomial model for small areas to incorporate the prior information on the linear combination of the probabilities, which we call a constraint. Thus, there are three cases. The practitioner (a) does not specify a constraint, (b) specifies a constraint and the parameter completely, and (c) specifies a constraint and information which can be used to construct a prior distribution for the parameter. The griddy Gibbs sampler is used to fit the models. To illustrate our method, we use an example on obesity of children in the National Health and Nutrition Examination Survey in which the small areas are formed by crossing school (middle, high), ethnicity (white, black, Mexican) and gender (male, female). We use a simulation study to assess some of the statistical features of our method. We have shown that the gain in precision beyond (a) is in the order with (b) larger than (c).

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211604
    Description:

    We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211605
    Description:

    Composite imputation is often used in business surveys. The term "composite" means that more than a single imputation method is used to impute missing values for a variable of interest. The literature on variance estimation in the presence of composite imputation is rather limited. To deal with this problem, we consider an extension of the methodology developed by Särndal (1992). Our extension is quite general and easy to implement provided that linear imputation methods are used to fill in the missing values. This class of imputation methods contains linear regression imputation, donor imputation and auxiliary value imputation, sometimes called cold-deck or substitution imputation. It thus covers the most common methods used by national statistical agencies for the imputation of missing values. Our methodology has been implemented in the System for the Estimation of Variance due to Nonresponse and Imputation (SEVANI) developed at Statistics Canada. Its performance is evaluated in a simulation study.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211606
    Description:

    This paper introduces a U.S. Census Bureau special compilation by presenting four other papers of the current issue: three papers from authors Tillé, Lohr and Thompson as well as a discussion paper from Opsomer.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211607
    Description:

    This paper describes recent developments in adaptive sampling strategies and introduces new variations on those strategies. Recent developments described included targeted random walk designs and adaptive web sampling. These designs are particularly suited for sampling in networks; for example, for finding a sample of people from a hidden human population by following social links from sample individuals to find additional members of the hidden population to add to the sample. Each of these designs can also be translated into spatial settings to produce flexible new spatial adaptive strategies for sampling unevenly distributed populations. Variations on these sampling strategies include versions in which the network or spatial links have unequal weights and are followed with unequal probabilities.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211608
    Description:

    Designs and estimators for the single frame surveys currently used by U.S. government agencies were developed in response to practical problems. Federal household surveys now face challenges of decreasing response rates and frame coverage, higher data collection costs, and increasing demand for small area statistics. Multiple frame surveys, in which independent samples are drawn from separate frames, can be used to help meet some of these challenges. Examples include combining a list frame with an area frame or using two frames to sample landline telephone households and cellular telephone households. We review point estimators and weight adjustments that can be used to analyze multiple frame surveys with standard survey software, and summarize construction of replicate weights for variance estimation. Because of their increased complexity, multiple frame surveys face some challenges not found in single frame surveys. We investigate misclassification bias in multiple frame surveys, and propose a method for correcting for this bias when misclassification probabilities are known. Finally, we discuss research that is needed on nonsampling errors with multiple frame surveys.

    Release date: 2011-12-21
Stats in brief (30)

Stats in brief (30) (0 to 10 of 30 results)

  • Stats in brief: 88-001-X201100411613
    Geography: Canada
    Description:

    This survey collects data to monitor science and technology related activities in Canada and to support the development of science and technology policy.

    Release date: 2011-12-09

  • Stats in brief: 88-001-X201100311576
    Geography: Canada
    Description:

    The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

    Release date: 2011-10-26

  • Stats in brief: 88-001-X201100211590
    Geography: Canada
    Description:

    This bulletin reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge for the provincial governments of New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

    Release date: 2011-10-21

  • Stats in brief: 82-625-X201100111552
    Geography: Canada
    Description:

    This is a health fact sheet about physical activity levels among Canadian adults. The results shown are based on data from the Canadian Health Measures Survey.

    Release date: 2011-09-28

  • Stats in brief: 82-625-X201100111553
    Geography: Canada
    Description:

    This is a health fact sheet about physical activity levels among Canadian children and youth. The results shown are based on data from the Canadian Health Measures Survey.

    Release date: 2011-09-28

  • 6. Gambling [2011] Archived
    Stats in brief: 75-001-X201100411551
    Geography: Canada
    Description:

    This product presents the latest facts and figures on gambling in Canada.

    Release date: 2011-09-23

  • Stats in brief: 91-209-X201100111513
    Geography: Canada
    Description:

    This chapter examines fertility in Canada with a focus on the years 2006 to 2008. In addition to the number of births, indicators including the total fertility rate, average age of mother, parity and completed fertility are analyzed. Historical trends, as well as provincial and territorial patterns will also be examined where appropriate.

    Release date: 2011-07-20

  • Stats in brief: 91-209-X201100111524
    Geography: Canada
    Description:

    This section of the mortality articles examines mortality in Canada primarily for the year 2006 and 2007 including infant mortality, the probability of dying and life expectancy for males and females.

    Release date: 2011-07-20

  • Stats in brief: 91-209-X201100111525
    Geography: Canada
    Description:

    This section of the mortality articles, on causes of death, examines the leading causes for men and women in Canada, including changes during the past several decades, as well as current patterns by age groups.

    Release date: 2011-07-20

  • Stats in brief: 82-625-X201100111456
    Geography: Canada
    Description:

    This is a Health fact sheet about having a regular medical doctor among Canadians. The results shown are based on data from the Canadian Community Health Survey.

    Release date: 2011-06-21
Articles and reports (179)

Articles and reports (179) (0 to 10 of 179 results)

  • Articles and reports: 88F0006X2011001
    Description:

    This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2011-12-23

  • Articles and reports: 21-004-X201100111412
    Geography: Canada
    Description:

    Statistics Canada administers six surveys per year to collect information on intended, seeded and harvested acreages, yields, production and stocks of principal field crops, and publishes these survey estimates in the Field Crop Reporting Series (FCRS). This paper analyses short-term movements in weekly crop prices from the week before the releases of FCRS to the week after the releases. Field crops included in this study are oats, canola, corn, flax, barley and wheat, while specialty crops studied are sunflower seed, canary seed, field peas, lentils, mustard seed, chick peas and green peas. The data for field crops cover a period from 1990 to 2009 and that for specialty crops cover varying periods from 1992 to 2009 based on their availability. The results reveal that the price changes before and after the official releases of FCRS tend to even out over time. The results also suggest that prices after the releases are as likely to increase as they are to decrease. Based on the findings, the study concludes that the publication of statistics in the FCRS has no systematic effect on crop prices. The results are consistent with the findings of the National Agricultural Statistics Service of the United States Department of Agriculture.

    Release date: 2011-12-22

  • Articles and reports: 12-001-X201100211602
    Description:

    This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211603
    Description:

    In many sample surveys there are items requesting binary response (e.g., obese, not obese) from a number of small areas. Inference is required about the probability for a positive response (e.g., obese) in each area, the probability being the same for all individuals in each area and different across areas. Because of the sparseness of the data within areas, direct estimators are not reliable, and there is a need to use data from other areas to improve inference for a specific area. Essentially, a priori the areas are assumed to be similar, and a hierarchical Bayesian model, the standard beta-binomial model, is a natural choice. The innovation is that a practitioner may have much-needed additional prior information about a linear combination of the probabilities. For example, a weighted average of the probabilities is a parameter, and information can be elicited about this parameter, thereby making the Bayesian paradigm appropriate. We have modified the standard beta-binomial model for small areas to incorporate the prior information on the linear combination of the probabilities, which we call a constraint. Thus, there are three cases. The practitioner (a) does not specify a constraint, (b) specifies a constraint and the parameter completely, and (c) specifies a constraint and information which can be used to construct a prior distribution for the parameter. The griddy Gibbs sampler is used to fit the models. To illustrate our method, we use an example on obesity of children in the National Health and Nutrition Examination Survey in which the small areas are formed by crossing school (middle, high), ethnicity (white, black, Mexican) and gender (male, female). We use a simulation study to assess some of the statistical features of our method. We have shown that the gain in precision beyond (a) is in the order with (b) larger than (c).

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211604
    Description:

    We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211605
    Description:

    Composite imputation is often used in business surveys. The term "composite" means that more than a single imputation method is used to impute missing values for a variable of interest. The literature on variance estimation in the presence of composite imputation is rather limited. To deal with this problem, we consider an extension of the methodology developed by Särndal (1992). Our extension is quite general and easy to implement provided that linear imputation methods are used to fill in the missing values. This class of imputation methods contains linear regression imputation, donor imputation and auxiliary value imputation, sometimes called cold-deck or substitution imputation. It thus covers the most common methods used by national statistical agencies for the imputation of missing values. Our methodology has been implemented in the System for the Estimation of Variance due to Nonresponse and Imputation (SEVANI) developed at Statistics Canada. Its performance is evaluated in a simulation study.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211606
    Description:

    This paper introduces a U.S. Census Bureau special compilation by presenting four other papers of the current issue: three papers from authors Tillé, Lohr and Thompson as well as a discussion paper from Opsomer.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211607
    Description:

    This paper describes recent developments in adaptive sampling strategies and introduces new variations on those strategies. Recent developments described included targeted random walk designs and adaptive web sampling. These designs are particularly suited for sampling in networks; for example, for finding a sample of people from a hidden human population by following social links from sample individuals to find additional members of the hidden population to add to the sample. Each of these designs can also be translated into spatial settings to produce flexible new spatial adaptive strategies for sampling unevenly distributed populations. Variations on these sampling strategies include versions in which the network or spatial links have unequal weights and are followed with unequal probabilities.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211608
    Description:

    Designs and estimators for the single frame surveys currently used by U.S. government agencies were developed in response to practical problems. Federal household surveys now face challenges of decreasing response rates and frame coverage, higher data collection costs, and increasing demand for small area statistics. Multiple frame surveys, in which independent samples are drawn from separate frames, can be used to help meet some of these challenges. Examples include combining a list frame with an area frame or using two frames to sample landline telephone households and cellular telephone households. We review point estimators and weight adjustments that can be used to analyze multiple frame surveys with standard survey software, and summarize construction of replicate weights for variance estimation. Because of their increased complexity, multiple frame surveys face some challenges not found in single frame surveys. We investigate misclassification bias in multiple frame surveys, and propose a method for correcting for this bias when misclassification probabilities are known. Finally, we discuss research that is needed on nonsampling errors with multiple frame surveys.

    Release date: 2011-12-21

  • Articles and reports: 12-001-X201100211609
    Description:

    This paper presents a review and assessment of the use of balanced sampling by means of the cube method. After defining the notion of balanced sample and balanced sampling, a short history of the concept of balancing is presented. The theory of the cube method is briefly presented. Emphasis is placed on the practical problems posed by balanced sampling: the interest of the method with respect to other sampling methods and calibration, the field of application, the accuracy of balancing, the choice of auxiliary variables and ways to implement the method.

    Release date: 2011-12-21
Journals and periodicals (8)

Journals and periodicals (8) ((8 results))

  • Journals and periodicals: 88F0006X
    Geography: Canada
    Description:

    Statistics Canada is engaged in the "Information System for Science and Technology Project" to develop useful indicators of activity and a framework to tie them together into a coherent picture of science and technology (S&T) in Canada. The working papers series is used to publish results of the different initiatives conducted within this project. The data are related to the activities, linkages and outcomes of S&T. Several key areas are covered such as: innovation, technology diffusion, human resources in S&T and interrelations between different actors involved in S&T. This series also presents data tabulations taken from regular surveys on research and development (R&D) and S&T and made possible by the project.

    Release date: 2011-12-23

  • Journals and periodicals: 89-604-X
    Description:

    Literacy for Life, is the second report from the Adult Literacy and Life Skills Survey. It presents additional results on the nature and magnitude of the literacy gaps faced by OECD countries and how these gaps have evolved over the medium term.

    It offers new insights into the factors that influence the formation of adult skills in various settings - at home and at work - for the eleven countries participating in the first and last round of data collection between 2003 and 2008. The study offers comparative evidence on the impact of various factors on the supply of skill. The study offers a special focus on numeracy skills and problem solving skills. It explores the relationships between numeracy and key socio-demographic factors as well as labour market outcomes and earnings.

    It highlights the importance of problem solving skills by defining this foundational skill and by exploring its determinants as well as its relative role in influencing important labour market outcomes.

    The report offers also an analysis of performance across multiple skill domains. It investigates the skill profiles of various population groups defined in terms of the demographic and socioeconomic characteristics of those who score at levels deemed to be low in one or more skill domains and explores the resulting consequences.

    The report concludes by investigating the issue of skill mismatch in the labour market and its relationship to adult learning. The extent and distribution of mismatch between the day to day literacy related requirements of workers and the literacy skills they have obtained is an important issue that is being explored in this study.

    Release date: 2011-12-20

  • Journals and periodicals: 85-561-M
    Geography: Canada
    Description:

    The Crime and Justice research paper series was initiated to explore a wide range of topics covering criminal victimization, youth and adult offending, the administration of justice, and the perception of the justice system and crime in Canadian communities. Staff at the Canadian Centre for Justice Statistics, visiting fellows and academic associates provide the analyses. The research papers are intended to stimulate discussion. Readers are encouraged to contact the authors with comments, criticisms and suggestions.

    Release date: 2011-12-15

  • Journals and periodicals: 65-507-M
    Description:

    This series offers a wide selection of analytical work relating to Canada's international trade. It presents analysis and research on many trade-related issues of interest to general audiences as well as economists and policy-makers in the public and private sectors.

    Release date: 2011-12-06

  • Journals and periodicals: 21-601-M
    Geography: Canada
    Description:

    The Agriculture Division occasionally publishes working papers on research, analytical results, statistical techniques, methods and concepts.

    Release date: 2011-11-22

  • Journals and periodicals: 89-647-X
    Geography: Canada
    Description:

    This publication provides an overview of the time use of Canadians produced from the 2010 General Social Survey on Time Stress and Well-being. It presents information on participation rates and average amount of time spent on various activities and compares recent data with information obtained from a similar survey conducted in 1998. In addition, it examines Canadians' perceptions of time stress.

    Release date: 2011-07-12

  • Journals and periodicals: 82-584-X
    Geography: Canada
    Description:

    This report is part of a larger study: the Canadian Forces Cancer and Mortality Study (CF CAMS). It examines causes of death in a cohort of individuals with a history of military service in Canada's Regular Force between 1972 and 2006. Separate analyses were carried out for the entire CF CAMS cohort and for those who were released from the Canadian Forces between 1972 and 2006.

    Release date: 2011-05-31

  • Journals and periodicals: 85-224-X
    Description:

    This is the thirteenth annual Family Violence in Canada: A Statistical Profile report produced by the Canadian Centre for Justice Statistics under the Federal Family Violence Initiative. This annual report provides the most current data on the nature and extent of family violence in Canada, as well as trends over time, as part of the ongoing initiative to inform policy makers and the public about family violence issues. Each year the report has a different focus. This year, the focus of the report is on self-reported incidents of spousal victimization from the 2009 General Social Survey on Victimization. In addition, using police-reported data, the report also presents information on family violence against children and youth, family violence against seniors, and family-related homicides. The Family Violence in Canada: A Statistical Profile will now be produced as an article in Juristat, catalogue no. 85-002-X , as such the old product number (85-224-X) associated with the report is now terminated.

    Release date: 2011-01-27
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