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All (1,610) (25 of 1,610 results)

  • Journals and periodicals: 12-605-X
    Description:

    The Record Linkage Project Process Model (RLPPM) was developed by Statistics Canada to identify the processes and activities involved in record linkage. The RLPPM applies to linkage projects conducted at the individual and enterprise level using diverse data sources to create new data sources to meet analytical and operational needs.

    Release date: 2017-06-05

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-05-12

  • Articles and reports: 18-001-X2017002
    Description:

    This working paper presents a methodology to measure remoteness at the community level. The method takes into account some of the recent literature on the subject, as well as new computational opportunities provided by the integration of official statistics with data from non-official statistical sources. The approach that was used in the computations accounts for multiple points of access to services; it also establishes a continuum between communities with different transportation infrastructures and connectivity while at the same time retaining the information on the community transportation infrastructures in the database. In addition, a method to implement accessibility measures to selected services is also outlined and a sample of accessibility measures are computed.

    Release date: 2017-05-09

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-04-21

  • Technical products: 12-586-X
    Description:

    The Quality Assurance Framework (QAF) serves as the highest-level governance tool for quality management at Statistics Canada. The QAF gives an overview of the quality management and risk mitigation strategies used by the Agency’s program areas. The QAF is used in conjunction with Statistics Canada management practices, such as those described in the Quality Guidelines.

    Release date: 2017-04-21

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-03-16

  • Articles and reports: 11-633-X2017006
    Description:

    This paper describes a method of imputing missing postal codes in a longitudinal database. The 1991 Canadian Census Health and Environment Cohort (CanCHEC), which contains information on individuals from the 1991 Census long-form questionnaire linked with T1 tax return files for the 1984-to-2011 period, is used to illustrate and validate the method. The cohort contains up to 28 consecutive fields for postal code of residence, but because of frequent gaps in postal code history, missing postal codes must be imputed. To validate the imputation method, two experiments were devised where 5% and 10% of all postal codes from a subset with full history were randomly removed and imputed.

    Release date: 2017-03-13

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-03-09

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-01-30

  • Technical products: 91-621-X2017001
    Release date: 2017-01-25

  • Articles and reports: 11-633-X2017005
    Description:

    Hospitalization rates are among commonly reported statistics related to health-care service use. The variety of methods for calculating confidence intervals for these and other health-related rates suggests a need to classify, compare and evaluate these methods. Zeno is a tool developed to calculate confidence intervals of rates based on several formulas available in the literature. This report describes the contents of the main sheet of the Zeno Tool and indicates which formulas are appropriate, based on users’ assumptions and scope of analysis.

    Release date: 2017-01-19

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2016-12-23

  • Articles and reports: 82-003-X201601214687
    Description:

    This study describes record linkage of the Canadian Community Health Survey and the Canadian Mortality Database. The article explains the record linkage process and presents results about associations between health behaviours and mortality among a representative sample of Canadians.

    Release date: 2016-12-21

  • Articles and reports: 12-001-X201600214684
    Description:

    This paper introduces an incomplete adaptive cluster sampling design that is easy to implement, controls the sample size well, and does not need to follow the neighbourhood. In this design, an initial sample is first selected, using one of the conventional designs. If a cell satisfies a prespecified condition, a specified radius around the cell is sampled completely. The population mean is estimated using the \pi-estimator. If all the inclusion probabilities are known, then an unbiased \pi estimator is available; if, depending on the situation, the inclusion probabilities are not known for some of the final sample units, then they are estimated. To estimate the inclusion probabilities, a biased estimator is constructed. However, the simulations show that if the sample size is large enough, the error of the inclusion probabilities is negligible, and the relative \pi-estimator is almost unbiased. This design rivals adaptive cluster sampling because it controls the final sample size and is easy to manage. It rivals adaptive two-stage sequential sampling because it considers the cluster form of the population and reduces the cost of moving across the area. Using real data on a bird population and simulations, the paper compares the design with adaptive two-stage sequential sampling. The simulations show that the design has significant efficiency in comparison with its rival.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214677
    Description:

    How do we tell whether weighting adjustments reduce nonresponse bias? If a variable is measured for everyone in the selected sample, then the design weights can be used to calculate an approximately unbiased estimate of the population mean or total for that variable. A second estimate of the population mean or total can be calculated using the survey respondents only, with weights that have been adjusted for nonresponse. If the two estimates disagree, then there is evidence that the weight adjustments may not have removed the nonresponse bias for that variable. In this paper we develop the theoretical properties of linearization and jackknife variance estimators for evaluating the bias of an estimated population mean or total by comparing estimates calculated from overlapping subsets of the same data with different sets of weights, when poststratification or inverse propensity weighting is used for the nonresponse adjustments to the weights. We provide sufficient conditions on the population, sample, and response mechanism for the variance estimators to be consistent, and demonstrate their small-sample properties through a simulation study.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214660
    Description:

    In an economic survey of a sample of enterprises, occupations are randomly selected from a list until a number r of occupations in a local unit has been identified. This is an inverse sampling problem for which we are proposing a few solutions. Simple designs with and without replacement are processed using negative binomial distributions and negative hypergeometric distributions. We also propose estimators for when the units are selected with unequal probabilities, with or without replacement.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214661
    Description:

    An example presented by Jean-Claude Deville in 2005 is subjected to three estimation methods: the method of moments, the maximum likelihood method, and generalized calibration. The three methods yield exactly the same results for the two non-response models. A discussion follows on how to choose the most appropriate model.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214662
    Description:

    Two-phase sampling designs are often used in surveys when the sampling frame contains little or no auxiliary information. In this note, we shed some light on the concept of invariance, which is often mentioned in the context of two-phase sampling designs. We define two types of invariant two-phase designs: strongly invariant and weakly invariant two-phase designs. Some examples are given. Finally, we describe the implications of strong and weak invariance from an inference point of view.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214664
    Description:

    This paper draws statistical inference for finite population mean based on judgment post stratified (JPS) samples. The JPS sample first selects a simple random sample and then stratifies the selected units into H judgment classes based on their relative positions (ranks) in a small set of size H. This leads to a sample with random sample sizes in judgment classes. Ranking process can be performed either using auxiliary variables or visual inspection to identify the ranks of the measured observations. The paper develops unbiased estimator and constructs confidence interval for population mean. Since judgment ranks are random variables, by conditioning on the measured observations we construct Rao-Blackwellized estimators for the population mean. The paper shows that Rao-Blackwellized estimators perform better than usual JPS estimators. The proposed estimators are applied to 2012 United States Department of Agriculture Census Data.

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214676
    Description:

    Winsorization procedures replace extreme values with less extreme values, effectively moving the original extreme values toward the center of the distribution. Winsorization therefore both detects and treats influential values. Mulry, Oliver and Kaputa (2014) compare the performance of the one-sided Winsorization method developed by Clark (1995) and described by Chambers, Kokic, Smith and Cruddas (2000) to the performance of M-estimation (Beaumont and Alavi 2004) in highly skewed business population data. One aspect of particular interest for methods that detect and treat influential values is the range of values designated as influential, called the detection region. The Clark Winsorization algorithm is easy to implement and can be extremely effective. However, the resultant detection region is highly dependent on the number of influential values in the sample, especially when the survey totals are expected to vary greatly by collection period. In this note, we examine the effect of the number and magnitude of influential values on the detection regions from Clark Winsorization using data simulated to realistically reflect the properties of the population for the Monthly Retail Trade Survey (MRTS) conducted by the U.S. Census Bureau. Estimates from the MRTS and other economic surveys are used in economic indicators, such as the Gross Domestic Product (GDP).

    Release date: 2016-12-20

  • Articles and reports: 12-001-X201600214663
    Description:

    We present theoretical evidence that efforts during data collection to balance the survey response with respect to selected auxiliary variables will improve the chances for low nonresponse bias in the estimates that are ultimately produced by calibrated weighting. One of our results shows that the variance of the bias – measured here as the deviation of the calibration estimator from the (unrealized) full-sample unbiased estimator – decreases linearly as a function of the response imbalance that we assume measured and controlled continuously over the data collection period. An attractive prospect is thus a lower risk of bias if one can manage the data collection to get low imbalance. The theoretical results are validated in a simulation study with real data from an Estonian household survey.

    Release date: 2016-12-20

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2016-12-05

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2016-11-10

  • Articles and reports: 11-633-X2016004
    Description:

    Understanding the importance of the dynamic entry process in the Canadian economy involves measuring the amount and size of firm entry. The paper presents estimates of the importance of firm entry in Canada. It uses the database underlying the Longitudinal Employment Analysis Program (LEAP), which has produced measures of firm entry and exit since 1988. This paper discusses the methodology used to estimate entry and exit, the issues that had to be resolved and the reasons for choosing the particular solutions that were adopted. It then presents measures that are derived from LEAP. Finally, it analyzes the sensitivity of the estimates associated with LEAP to alternative methods of estimating entry and exit.

    Release date: 2016-11-10

  • Articles and reports: 18-001-X2016001
    Description:

    Although the record linkage of business data is not a completely new topic, the fact remains that the public and many data users are unaware of the programs and practices commonly used by statistical agencies across the world.

    This report is a brief overview of the main practices, programs and challenges of record linkage of statistical agencies across the world who answered a short survey on this subject supplemented by publically available documentation produced by these agencies. The document shows that the linkage practices are similar between these statistical agencies; however the main differences are in the procedures in place to access to data along with regulatory policies that govern the record linkage permissions and the dissemination of data.

    Release date: 2016-10-27

Data (8)

Data (8) (8 of 8 results)

  • Public use microdata: 89F0002X
    Description:

    The SPSD/M is a static microsimulation model designed to analyse financial interactions between governments and individuals in Canada. It can compute taxes paid to and cash transfers received from government. It is comprised of a database, a series of tax/transfer algorithms and models, analytical software and user documentation.

    Release date: 2018-01-08

  • Table: 53-500-X
    Description:

    This report presents the results of a pilot survey conducted by Statistics Canada to measure the fuel consumption of on-road motor vehicles registered in Canada. This study was carried out in connection with the Canadian Vehicle Survey (CVS) which collects information on road activity such as distance traveled, number of passengers and trip purpose.

    Release date: 2004-10-21

  • Table: 95F0495X2001012
    Description:

    This table contains information from the 2001 Census, presented according to the statistical area classification (SAC). The SAC groups census subdivisions according to whether they are a component of a census metropolitan area, a census agglomeration, a census metropolitan area and census agglomeration influenced zone (strong MIZ, moderate MIZ, weak MIZ or no MIZ) or of the territories (Northwest Territories, Nunavut and Yukon Territory). The SAC is used for data dissemination purposes.

    Data characteristics presented according to the SAC include age, visible minority groups, immigration, mother tongue, education, income, work and dwellings. Data are presented for Canada, provinces and territories. The data characteristics presented within this table may differ from those of other products in the "Profiles" series.

    Release date: 2004-02-27

  • Table: 53-222-X19980006587
    Description:

    The primary purpose of this article is to present a new time series data and to demonstrate its analytical potential and not to provide a detailed analysis of these data. The analysis in section 5.2.4 will deal primarily with the trends of major variables dealing with domestic and transborder traffic.

    Release date: 2000-03-07

  • Table: 75M0007X
    Description:

    The Absence from Work Survey was designed primarily to fulfill the objectives of Human Resources Development Canada. They sponsor the qualified wage loss replacement plan which applies to employers who have their own private plans to cover employee wages lost due to sickness, accident, etc. Employers who fall under the plan are granted a reduction in their quotas payable to the Unemployment Insurance Commission. The data generated from the responses to the supplement will provide input to determine the rates for quota reductions for qualified employers.

    Although the Absence from Work Survey collects information on absences from work due to illness, accident or pregnancy, it does not provide a complete picture of people who have been absent from work for these reasons because the concepts and definitions have been developed specifically for the needs of the client. Absences in this survey are defined as being at least two weeks in length, and respondents are only asked the three reasons for their most recent absence and the one preceding it.

    Release date: 1999-06-29

  • Table: 82-567-X
    Description:

    The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.

    This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.

    Release date: 1998-07-29

  • Table: 62-010-X19970023422
    Description:

    The current official time base of the Consumer Price Index (CPI) is 1986=100. This time base was first used when the CPI for June 1990 was released. Statistics Canada is about to convert all price index series to the time base 1992=100. As a result, all constant dollar series will be converted to 1992 dollars. The CPI will shift to the new time base when the CPI for January 1998 is released on February 27th, 1998.

    Release date: 1997-11-17

  • Public use microdata: 89M0005X
    Description:

    The objective of this survey was to collect attitudinal, cognitive and behavioral information regarding drinking and driving.

    Release date: 1996-10-21

Analysis (902)

Analysis (902) (25 of 902 results)

  • Articles and reports: 13-604-M2018087
    Description:

    Statistics Canada regularly publishes macroeconomic indicators on household assets, liabilities and net worth as part of the quarterly National Balance Sheet Accounts (NBSA). These accounts are aligned with the most recent international standards and are the source of estimates of national wealth for all sectors of the economy, including households, non-profit institutions, governments and corporations along with Canada’s wealth position vis-a-vis the rest of the world. While the NBSA provide high quality information on the overall position of households relative to other economic sectors, they lack the granularity required to understand vulnerabilities of specific groups and the resulting implications for economic wellbeing and financial stability.

    Release date: 2018-04-13

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2018-04-03

  • Journals and periodicals: 11-633-X
    Description:

    Papers in this series provide background discussions of the methods used to develop data for economic, health, and social analytical studies at Statistics Canada. They are intended to provide readers with information on the statistical methods, standards and definitions used to develop databases for research purposes. All papers in this series have undergone peer and institutional review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted standards of good professional practice.

    Release date: 2018-03-27

  • Articles and reports: 11-633-X2018016
    Description:

    Record linkage has been identified as a potential mechanism to add treatment information to the Canadian Cancer Registry (CCR). The purpose of the Canadian Cancer Treatment Linkage Project (CCTLP) pilot is to add surgical treatment data to the CCR. The Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) were linked to the CCR, and surgical treatment data were extracted. The project was funded through the Cancer Data Development Initiative (CDDI) of the Canadian Partnership Against Cancer (CPAC).

    The CCTLP was developed as a feasibility study in which patient records from the CCR would be linked to surgical treatment records in the DAD and NACRS databases, maintained by the Canadian Institute for Health Information. The target cohort to whom surgical treatment data would be linked was patients aged 19 or older registered on the CCR (2010 through 2012). The linkage was completed in Statistics Canada’s Social Data Linkage Environment (SDLE).

    Release date: 2018-03-27

  • Articles and reports: 11-629-X2018002
    Description:

    Celebrate Statistics Canada’s centennial by looking back on our journey with Canada.

    Release date: 2018-03-16

  • Articles and reports: 11-633-X2018015
    Description:

    This paper discusses the process for estimating the volume of cannabis consumption in Canada by age group from 1960 to 2015. Cannabis consumption is estimated using a model that first estimates the number of cannabis consumers among 15- to 17-year-olds, 18- to 24-year-olds, 25- to 44-year-olds and 45- to 64-year-olds. This is accomplished by estimating cannabis consumption prevalence based on multiple survey data sources. For each age group, consumers are divided into categories based on annual frequency of consumption: once in the past year, less than once a month, one to three times a month, weekly (excluding daily) and daily. Each category of frequency of consumption is then associated with a quantity of cannabis consumed.

    Release date: 2018-02-21

  • Articles and reports: 82-003-X201800254908
    Description:

    This study examined nine national surveys of the household population which collected information about drug use during the period from 1985 through 2015. These surveys are examined for comparability. The data are used to estimate past-year (current) cannabis use (total, and by sex and age). Based on the most comparable data, trends in use from 2004 through 2015 are estimated.

    Release date: 2018-02-21

  • Articles and reports: 11-633-X2018014
    Description:

    The Canadian Mortality Database (CMDB) is an administrative database that collects information on cause of death from all provincial and territorial vital statistics registries in Canada. The CMDB lacks subpopulation identifiers to examine mortality rates and disparities among groups such as First Nations, Métis, Inuit and members of visible minority groups. Linkage between the CMDB and the Census of Population is an approach to circumvent this limitation. This report describes a linkage between the CMDB (2006 to 2011) and the 2006 Census of Population, which was carried out using hierarchical deterministic exact matching, with a focus on methodology and validation.

    Release date: 2018-02-14

  • Articles and reports: 11-633-X2018013
    Description:

    Since 2008, a number of population censuses have been linked to administrative health data and to financial data. These linked datasets have been instrumental in examining health inequalities and have been used in environmental health research. This paper describes the creation of the 1996 Canadian Census Health and Environment Cohort (CanCHEC)—3.57 million respondents to the census long-form questionnaire who were retrospectively followed for mortality and mobility for 16.6 years from 1996 to 2012. The 1996 CanCHEC was limited to census respondents who were aged 19 or older on Census Day (May 14, 1996), were residents of Canada, were not residents of institutions, and had filed an income tax return. These respondents were linked to death records from the Canadian Mortality Database or to the T1 Personal Master File, and to a postal code history from a variety of sources. This is the third in a set of CanCHECs that, when combined, make it possible to examine mortality trends and environmental exposures by socioeconomic characteristics over three census cycles and 21 years of census, tax, and mortality data. This report describes linkage methodologies, validation and bias assessment, and the characteristics of the 1996 CanCHEC. Representativeness of the 1996 CanCHEC relative to the adult population of Canada is also assessed.

    Release date: 2018-01-22

  • Articles and reports: 11-633-X2018012
    Description:

    This study investigates the extent to which income tax reassessments and delayed tax filing affect the reliability of Canadian administrative tax datasets used for economic analysis. The study is based on individual income tax records from the T1 Personal Master File and Historical Personal Master File for selected years from 1990 to 2010. These datasets contain tax records for approximately 100% of initial and all income tax filers, who submitted returns to the Canada Revenue Agency (CRA) before specific processing cut-off dates.

    Release date: 2018-01-11

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2018-01-08

  • Articles and reports: 11-633-X2018011
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers.

    This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2018-01-08

  • Articles and reports: 18-001-X2017001
    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 2015, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2017-12-22

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-12-21

  • Journals and periodicals: 12-001-X
    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: 2017-12-21

  • Articles and reports: 12-001-X201700254897
    Description:

    This note by Chris Skinner presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254888
    Description:

    We discuss developments in sample survey theory and methods covering the past 100 years. Neyman’s 1934 landmark paper laid the theoretical foundations for the probability sampling approach to inference from survey samples. Classical sampling books by Cochran, Deming, Hansen, Hurwitz and Madow, Sukhatme, and Yates, which appeared in the early 1950s, expanded and elaborated the theory of probability sampling, emphasizing unbiasedness, model free features, and designs that minimize variance for a fixed cost. During the period 1960-1970, theoretical foundations of inference from survey data received attention, with the model-dependent approach generating considerable discussion. Introduction of general purpose statistical software led to the use of such software with survey data, which led to the design of methods specifically for complex survey data. At the same time, weighting methods, such as regression estimation and calibration, became practical and design consistency replaced unbiasedness as the requirement for standard estimators. A bit later, computer-intensive resampling methods also became practical for large scale survey samples. Improved computer power led to more sophisticated imputation for missing data, use of more auxiliary data, some treatment of measurement errors in estimation, and more complex estimation procedures. A notable use of models was in the expanded use of small area estimation. Future directions in research and methods will be influenced by budgets, response rates, timeliness, improved data collection devices, and availability of auxiliary data, some of which will come from “Big Data”. Survey taking will be impacted by changing cultural behavior and by a changing physical-technical environment.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254895
    Description:

    This note by Graham Kalton presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254896
    Description:

    This note by Sharon L. Lohr presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254871
    Description:

    In this paper the question is addressed how alternative data sources, such as administrative and social media data, can be used in the production of official statistics. Since most surveys at national statistical institutes are conducted repeatedly over time, a multivariate structural time series modelling approach is proposed to model the series observed by a repeated surveys with related series obtained from such alternative data sources. Generally, this improves the precision of the direct survey estimates by using sample information observed in preceding periods and information from related auxiliary series. This model also makes it possible to utilize the higher frequency of the social media to produce more precise estimates for the sample survey in real time at the moment that statistics for the social media become available but the sample data are not yet available. The concept of cointegration is applied to address the question to which extent the alternative series represent the same phenomena as the series observed with the repeated survey. The methodology is applied to the Dutch Consumer Confidence Survey and a sentiment index derived from social media.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254894
    Description:

    This note by Danny Pfeffermann presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theory and methods covering the past 100 years.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254887
    Description:

    This paper proposes a new approach to decompose the wage difference between men and women that is based on a calibration procedure. This approach generalizes two current decomposition methods that are re-expressed using survey weights. The first one is the Blinder-Oaxaca method and the second one is a reweighting method proposed by DiNardo, Fortin and Lemieux. The new approach provides a weighting system that enables us to estimate such parameters of interest like quantiles. An application to data from the Swiss Structure of Earnings Survey shows the interest of this method.

    Release date: 2017-12-21

  • Articles and reports: 12-001-X201700254872
    Description:

    This note discusses the theoretical foundations for the extension of the Wilson two-sided coverage interval to an estimated proportion computed from complex survey data. The interval is shown to be asymptotically equivalent to an interval derived from a logistic transformation. A mildly better version is discussed, but users may prefer constructing a one-sided interval already in the literature.

    Release date: 2017-12-21

  • The Daily
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-12-18

  • Articles and reports: 11-626-X2017077
    Description:

    On April 13, 2017, the Government of Canada tabled legislation to legalize the recreational use of cannabis by adults. This will directly impact Canada’s statistical system. The focus of this Economic Insights article is to provide experimental estimates for the volume of cannabis consumption, based on existing information on the prevalence of cannabis use. The article presents experimental estimates of the number of tonnes of cannabis consumed by age group for the period from 1960 to 2015. The experimental estimates rely on survey data from multiple sources, statistical techniques to link the sources over time, and assumptions about consumption behaviour. They are subject to revision as improved or additional data sources become available.

    Release date: 2017-12-18

Reference (700)

Reference (700) (25 of 700 results)

  • Technical products: 75F0002M
    Description:

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

    Release date: 2018-04-05

  • Technical products: 75F0002M2018001
    Description:

    This study looks at changes introduced in 2018 to the methodology used for the census family low income measure, based on the T1 Family File (T1FF; tax filer data). By making these changes, the methodology becomes better aligned with other data sources at Statistics Canada, such as the Census of Population and the Canadian Income Survey. To account for changes in the methodology, new T1FF standard tables on the census family low income measure (after-tax income), going back to 2004 data, are introduced.

    Release date: 2018-04-05

  • Technical products: 75F0002M2018002
    Description:

    This study looks at the differences in after-tax low income measure (LIM) statistics from two data sources which both use administrative tax data as their principal inputs: the 2016 Census of Population and the T1 Family file (T1FF). It presents a summary of the two data sources and compares after-tax LIM statistics by focussing on unit of analysis, LIM thresholds and the percentage of population below the LIM. The study also explores what factors users may want to consider when choosing one data source over the other.

    Release date: 2018-04-05

  • Technical products: 84-538-X
    Description:

    This document presents the methodology underlying the production of the life tables for Canada, provinces and territories, from reference period 1980/1982 and onward.

    Release date: 2018-02-23

  • Surveys and statistical programs – Documentation: 71-526-X
    Description:

    The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.

    Release date: 2017-12-21

  • Index and guides: 98-500-X
    Description:

    Provides information that enables users to effectively use, apply and interpret data from the Census of Population. Each guide contains definitions and explanations on census concepts as well as a data quality and historical comparability section. Additional information will be included for specific variables to help users better understand the concepts and questions used in the census.

    Release date: 2017-11-29

  • Technical products: 12-206-X
    Description:

    This report summarizes the achievements program sponsored by the three methodology divisions of Statistics Canada. This program covers research and development activities in statistical methods with potentially broad application in the Agency's survey programs, which would not otherwise have been carried out during the provision of methodology services to those survey programs. They also include tasks that provided client support in the application of past successful developments in order to promote the utilization of the results of research and development work.

    Release date: 2017-11-03

  • Index and guides: 12-606-X
    Description:

    This is a toolkit intended to aid data producers and data users external to Statistics Canada.

    Release date: 2017-09-27

  • Technical products: 12-586-X
    Description:

    The Quality Assurance Framework (QAF) serves as the highest-level governance tool for quality management at Statistics Canada. The QAF gives an overview of the quality management and risk mitigation strategies used by the Agency’s program areas. The QAF is used in conjunction with Statistics Canada management practices, such as those described in the Quality Guidelines.

    Release date: 2017-04-21

  • Technical products: 91-621-X2017001
    Release date: 2017-01-25

  • Technical products: 75F0002M2016003
    Description:

    Periodically, income statistics are updated to reflect the most recent population estimates from the Census. Accordingly, with the release of the 2014 data from the Canadian Income Survey, Statistics Canada has revised estimates for 2006 to 2013 using new population totals from the 2011 Census. This paper provides unrevised estimates alongside revised estimates for key income series, indicating where the revisions were significant.

    Release date: 2016-07-08

  • Technical products: 11-522-X
    Description:

    Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014753
    Description:

    The fact that the world is in continuous change and that new technologies are becoming widely available creates new opportunities and challenges for National Statistical Institutes (NSIs) worldwide. What if NSIs could access vast amounts of sophisticated data for free (or for a low cost) from enterprises? Could this facilitate the possibility for NSIs to disseminate more accurate indicators for the policy-makers and users, significantly reduce the response burden for companies, reduce costs for the NSIs and in the long run improve the living standards of the people in a country? The time has now come for NSIs to find the best practice to align legislation, regulations and practices in relation to scanner data and big data. Without common ground, the prospect of reaching consensus is unlikely. The discussions need to start with how to define quality. If NSIs define and approach quality differently, this will lead to a highly undesirable situation, as NSIs will move further away from harmonisation. Sweden was one of the leading countries that put these issues on the agenda for European cooperation; in 2012 Sweden implemented scanner data in the national Consumer Price Index after it was proven through research studies and statistical analyses that scanner data was significantly better than the manually collected data.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014714
    Description:

    The Labour Market Development Agreements (LMDAs) between Canada and the provinces and territories fund labour market training and support services to Employment Insurance claimants. The objective of this paper is to discuss the improvements over the years in the impact assessment methodology. The paper describes the LMDAs and past evaluation work and discusses the drivers to make better use of large administrative data holdings. It then explains how the new approach made the evaluation less resource-intensive, while results are more relevant to policy development. The paper outlines the lessons learned from a methodological perspective and provides insight into ways for making this type of use of administrative data effective, especially in the context of large programs.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014742
    Description:

    This paper describes the Quick Match System (QMS), an in-house application designed to match business microdata records, and the methods used to link the United States Patent and Trademark Office (USPTO) dataset to Statistics Canada’s Business Register (BR) for the period from 2000 to 2011. The paper illustrates the record-linkage framework and outlines the techniques used to prepare and classify each record and evaluate the match results. The USPTO dataset consisted of 41,619 U.S. patents granted to 14,162 distinct Canadian entities. The record-linkage process matched the names, city, province and postal codes of the patent assignees in the USPTO dataset with those of businesses in the January editions of the Generic Survey Universe File (GSUF) from the BR for the same reference period. As the vast majority of individual patent assignees are not engaged in commercial activity to provide taxable property or services, they tend not to appear in the BR. The relatively poor match rate of 24.5% among individuals, compared to 84.7% among institutions, reflects this tendency. Although the 8,844 individual patent assignees outnumbered the 5,318 institutions, the institutions accounted for 73.0% of the patents, compared to 27.0% held by individuals. Consequently, this study and its conclusions focus primarily on institutional patent assignees. The linkage of the USPTO institutions to the BR is significant because it provides access to business micro-level data on firm characteristics, employment, revenue, assets and liabilities. In addition, the retrieval of robust administrative identifiers enables subsequent linkage to other survey and administrative data sources. The integrated dataset will support direct and comparative analytical studies on the performance of Canadian institutions that obtained patents in the United States between 2000 and 2011.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014745
    Description:

    In the design of surveys a number of parameters like contact propensities, participation propensities and costs per sample unit play a decisive role. In on-going surveys, these survey design parameters are usually estimated from previous experience and updated gradually with new experience. In new surveys, these parameters are estimated from expert opinion and experience with similar surveys. Although survey institutes have a fair expertise and experience, the postulation, estimation and updating of survey design parameters is rarely done in a systematic way. This paper presents a Bayesian framework to include and update prior knowledge and expert opinion about the parameters. This framework is set in the context of adaptive survey designs in which different population units may receive different treatment given quality and cost objectives. For this type of survey, the accuracy of design parameters becomes even more crucial to effective design decisions. The framework allows for a Bayesian analysis of the performance of a survey during data collection and in between waves of a survey. We demonstrate the Bayesian analysis using a realistic simulation study.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014710
    Description:

    The Data Warehouse has modernized the way the Canadian System of Macroeconomic Accounts (MEA) are produced and analyzed today. Its continuing evolution facilitates the amounts and types of analytical work that is done within the MEA. It brings in the needed element of harmonization and confrontation as the macroeconomic accounts move toward full integration. The improvements in quality, transparency, and timeliness have strengthened the statistics that are being disseminated.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014724
    Description:

    At the Institut national de santé publique du Québec, the Quebec Integrated Chronic Disease Surveillance System (QICDSS) has been used daily for approximately four years. The benefits of this system are numerous for measuring the extent of diseases more accurately, evaluating the use of health services properly and identifying certain groups at risk. However, in the past months, various problems have arisen that have required a great deal of careful thought. The problems have affected various areas of activity, such as data linkage, data quality, coordinating multiple users and meeting legal obligations. The purpose of this presentation is to describe the main challenges associated with using QICDSS data and to present some possible solutions. In particular, this presentation discusses the processing of five data sources that not only come from five different sources, but also are not mainly used for chronic disease surveillance. The varying quality of the data, both across files and within a given file, will also be discussed. Certain situations associated with the simultaneous use of the system by multiple users will also be examined. Examples will be given of analyses of large data sets that have caused problems. As well, a few challenges involving disclosure and the fulfillment of legal agreements will be briefly discussed.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014707
    Description:

    The Labour Force Survey (LFS) is a monthly household survey of about 56,000 households that provides information on the Canadian labour market. Audit Trail is a Blaise programming option, for surveys like LFS with Computer Assisted Interviewing (CAI), which creates files containing every keystroke and edit and timestamp of every data collection attempt on all households. Combining such a large survey with such a complete source of paradata opens the door to in-depth data quality analysis but also quickly leads to Big Data challenges. How can meaningful information be extracted from this large set of keystrokes and timestamps? How can it help assess the quality of LFS data collection? The presentation will describe some of the challenges that were encountered, solutions that were used to address them, and results of the analysis on data quality.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014715
    Description:

    In preparation for 2021 UK Census the ONS has committed to an extensive research programme exploring how linked administrative data can be used to support conventional statistical processes. Item-level edit and imputation (E&I) will play an important role in adjusting the 2021 Census database. However, uncertainty associated with the accuracy and quality of available administrative data renders the efficacy of an integrated census-administrative data approach to E&I unclear. Current constraints that dictate an anonymised ‘hash-key’ approach to record linkage to ensure confidentiality add to that uncertainty. Here, we provide preliminary results from a simulation study comparing the predictive and distributional accuracy of the conventional E&I strategy implemented in CANCEIS for the 2011 UK Census to that of an integrated approach using synthetic administrative data with systematically increasing error as auxiliary information. In this initial phase of research we focus on imputing single year of age. The aim of the study is to gain insight into whether auxiliary information from admin data can improve imputation estimates and where the different strategies fall on a continuum of accuracy.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014719
    Description:

    Open Data initiatives are transforming how governments and other public institutions interact and provide services to their constituents. They increase transparency and value to citizens, reduce inefficiencies and barriers to information, enable data-driven applications that improve public service delivery, and provide public data that can stimulate innovative business opportunities. As one of the first international organizations to adopt an open data policy, the World Bank has been providing guidance and technical expertise to developing countries that are considering or designing their own initiatives. This presentation will give an overview of developments in open data at the international level along with current and future experiences, challenges, and opportunities. Mr. Herzog will discuss the rationales under which governments are embracing open data, demonstrated benefits to both the public and private sectors, the range of different approaches that governments are taking, and the availability of tools for policymakers, with special emphasis on the roles and perspectives of National Statistics Offices within a government-wide initiative.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014711
    Description:

    After the 2010 Census, the U.S. Census Bureau conducted two separate research projects matching survey data to databases. One study matched to the third-party database Accurint, and the other matched to U.S. Postal Service National Change of Address (NCOA) files. In both projects, we evaluated response error in reported move dates by comparing the self-reported move date to records in the database. We encountered similar challenges in the two projects. This paper discusses our experience using “big data” as a comparison source for survey data and our lessons learned for future projects similar to the ones we conducted.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014729
    Description:

    The use of administrative datasets as a data source in official statistics has become much more common as there is a drive for more outputs to be produced more efficiently. Many outputs rely on linkage between two or more datasets, and this is often undertaken in a number of phases with different methods and rules. In these situations we would like to be able to assess the quality of the linkage, and this involves some re-assessment of both links and non-links. In this paper we discuss sampling approaches to obtain estimates of false negatives and false positives with reasonable control of both accuracy of estimates and cost. Approaches to stratification of links (non-links) to sample are evaluated using information from the 2011 England and Wales population census.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014721
    Description:

    Open data is becoming an increasingly important expectation of Canadians, researchers, and developers. Learn how and why the Government of Canada has centralized the distribution of all Government of Canada open data through Open.Canada.ca and how this initiative will continue to support the consumption of statistical information.

    Release date: 2016-03-24

  • Technical products: 11-522-X201700014709
    Description:

    Traffic congestion is not limited to large cities but is also becoming a problem in medium-size cities and to roads going through cities. Among a large variety of congestion measures, six were selected for the ease of aggregation and their capacity to use the instantaneous information from CVUS-light component in 2014. From the selected measures, the Index of Congestion is potentially the only one not biased. This measure is used to illustrate different dimension of congestion on the road network.

    Release date: 2016-03-24

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