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All (163) (0 to 10 of 163 results)

  • Articles and reports: 11-522-X202200100002
    Description: The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100017
    Description: In this paper, we look for presence of heterogeneity in conducting impact evaluations of the Skills Development intervention delivered under the Labour Market Development Agreements. We use linked longitudinal administrative data covering a sample of Skills Development participants from 2010 to 2017. We apply a causal machine-learning estimator as in Lechner (2019) to estimate the individualized program impacts at the finest aggregation level. These granular impacts reveal the distribution of net impacts facilitating further investigation as to what works for whom. The findings suggest statistically significant improvements in labour market outcomes for participants overall and for subgroups of policy interest.
    Release date: 2024-03-25

  • Articles and reports: 11-522-X202200100020
    Description: The reconciliation of 2021 census dwellings with the new Statistical Building Register (SBgR) presented linkage challenges. The Census of Population collected information from various dwelling types. For a large proportion of the population, mailing addresses were at the centre: they were used for reaching out to people and collected as contact info. In parallel, the register environment has been evolving. The agency is transitioning from the Address Register (AR) to the SBgR holding both mailing and location addresses, while also covering non-residential buildings. The reconciliation was conducted using a combination of systems, notably the new Register Matching Engine (RME) for difficult cases. The RME holds an interesting range of sophisticated string comparators. A deterministic linkage approach was used, while incorporating some data knowledge like the entropy. Through metadata, the matching expert could also reduce the amounts of false positives and false negatives.
    Release date: 2024-03-25

  • Journals and periodicals: 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: 2024-03-25

  • Journals and periodicals: 12-001-X
    Geography: Canada
    Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
    Release date: 2024-01-03

  • Articles and reports: 82-003-X202301200002
    Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
    Release date: 2023-12-20

  • Journals and periodicals: 12-206-X
    Description: This report summarizes the annual achievements of the Methodology Research and Development Program (MRDP) sponsored by the Modern Statistical Methods and Data Science Branch at Statistics Canada. This program covers research and development activities in statistical methods with potentially broad application in the agency’s statistical programs; these activities would otherwise be less likely to be carried out during the provision of regular methodology services to those programs. The MRDP also includes activities that provide support in the application of past successful developments in order to promote the use of the results of research and development work. Selected prospective research activities are also presented.
    Release date: 2023-10-11

  • 19-22-0011
    Description: An introduction to the role geography plays in Statistics Canada data. Viewers will learn about the different geographic levels Statistics Canada uses and how they are related, as well as two products - GeoSuite and GeoSearch - that the public can use to find detailed information for any place in Canada. Two case studies will be shown to demonstrate applications of these two products.

    https://www.statcan.gc.ca/en/services/webinars/19220011 
    Release date: 2023-09-12

  • Articles and reports: 75F0002M2022003
    Description: This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Nunavut, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 to 2021. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.
    Release date: 2023-06-21

  • Surveys and statistical programs – Documentation: 75-514-G
    Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.
    Release date: 2023-05-25
Data (1)

Data (1) ((1 result))

  • 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
Analysis (103)

Analysis (103) (70 to 80 of 103 results)

  • Articles and reports: 11-522-X20040018734
    Geography: Canada
    Description:

    The Ethnic Diversity Survey generated methodological challenges like choosing the sampling plan, developing the questionnaire, collecting the data, weighting the data and estimating the variance.

    Release date: 2005-10-27

  • Articles and reports: 12-001-X20040029187
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2005-02-03

  • Articles and reports: 11-522-X20030017597
    Description:

    This paper discusses the challenges Statistics Canada faces in changing its method of transferring information from paper into an electronic medium for the 2006 Census. After contracting with Lockheed Martin, data capture will change from direct data entry by humans to a system that uses optical technologies to scan, recognize, process and save most of the information, largely without human intervention.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017608
    Description:

    This paper discusses the re-engineering of the United States' 2010 Census through three highly integrated activities: the American Community Survey (ACS), the MAF/TIGER Enhancements Program, and a program of early and comprehensive planning, development and testing for a 2010 Census with only a short form.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017699
    Description:

    This paper illustrates the link between the strategic needs of a national statistical office (NSO) and the methodological needs that this generates.

    Release date: 2005-01-26

  • Articles and reports: 11-522-X20030017716
    Description:

    This paper examines how risk and quality can be used to assist with investment decisions across the Office for National Statistics (ONS) in the United Kingdom. It discusses the construction of a table developed to provide measures of the strengths and weaknesses of statistical inputs and outputs.

    Release date: 2005-01-26

  • Articles and reports: 12-002-X20040027034
    Description:

    The use of command files in Stat/Transfer can expedite the transfer of several data sets in an efficient replicable manner. This note outlines a simple step-by-step method for creating command files and provides sample code.

    Release date: 2004-10-05

  • Articles and reports: 11-522-X20020016729
    Description:

    For most survey samples, if not all, we have to deal with the problem of missing values. Missing values are usually caused by nonresponse (such as refusal of participant or interviewer was unable to contact respondent) but can also be produced at the editing step of the survey in an attempt to resolve problems of inconsistent or suspect responses. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. To treat this problem, the appropriate use of all available auxiliary information permits the maximum reduction of nonresponse bias and variance. During this presentation, we will define the problem, describe the methodology that SEVANI is based on and discuss potential uses of the system. We will end the discussion by presenting some examples based on real data to illustrate the theory in practice.

    In practice, it is very difficult to estimate the nonresponse bias. However, it is possible to estimate the nonresponse variance by assuming that the bias is negligible. In the last decade, many methods were indeed proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI).

    The methodology used to develop SEVANI is based on the theory of two-phase sampling where we assume that the second phase of selection is nonresponse. However, contrary to two-phase sampling, an imputation or nonresponse model is required for variance estimation. SEVANI also assumes that nonresponse is treated by reweighting respondent units or by imputing their missing values. Three imputation methods are considered: the imputation of an auxiliary variable, regression imputation (deterministic or random) and nearest-neighbour imputation.

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016751
    Description:

    Closing remarks

    Release date: 2004-09-13

  • Articles and reports: 11-522-X20020016752
    Description:

    Opening remarks of the Symposium 2002: Modelling Survey Data for Social and Economic Research, presented by David Binder.

    Release date: 2004-09-13
Reference (54)

Reference (54) (30 to 40 of 54 results)

  • Surveys and statistical programs – Documentation: 62F0026M2009002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2009-12-18

  • Surveys and statistical programs – Documentation: 16-001-M2009007
    Description:

    In this paper, we present the methodology developed by Statistics Canada to calculate the average annual water yield for Canada. Water yield, for the purposes of this paper, is defined as the amount of freshwater derived from unregulated flow (m3 s-1) measurements for a given geographic area over a defined period of time. The methodology is applied to the 1971 to 2000 time period.

    This research was conducted to fill data gaps in Statistics Canada's water statistics program. These gaps exist because estimates of freshwater flow for Canada have not been calculated regularly and have been produced using a variety of methods that do not necessarily generate comparable results. The methodology developed in this study produced results that are coherent through space and time. These results will be used in the future to investigate changes in water yield on a more disaggregated basis.

    To achieve the water yield estimate a database of natural streamflow observations from 1971 to 2000 was compiled. The streamflow values were then converted to a runoff depth and interpolated using ordinary kriging to produce spatial estimates of runoff. The spatial estimates were then scaled to create a National estimate of water yield as a thirty-year average. The methodology and results were then validated using a stability analysis and several techniques involving uncertainty. The result of the methodology indicates that the thirty-year average water yield for Canada is 3435 km3.

    Release date: 2009-06-01

  • Surveys and statistical programs – Documentation: 92-569-X2006001
    Description:

    The 2006 Census Technical Report on Aboriginal Peoples deals with: (i) Aboriginal ancestry, (ii) Aboriginal identity, (iii) registered Indian status, and (iv) First Nation or Band membership. The report aims to inform users about the complexity of the data and any difficulties that could affect their use. It explains the conceptual framework and definitions used to gather the data, and it discusses factors that could affect data quality. The historical comparability of the data is also discussed.

    Release date: 2009-05-12

  • Surveys and statistical programs – Documentation: 91F0015M2008010
    Geography: Canada
    Description:

    The objective of this study is to examine the feasibility of using provincial and territorial health care files of new registrants as an independent measure of preliminary inter-provincial and inter-territorial migration. The study aims at measuring the conceptual and quantifiable differences between this data source and our present source of the Canada Revenue Agency's Canadian Child Tax Benefit.

    Criteria were established to assess the quality and appropriateness of these provincial/territorial health care records as a proxy for our migration estimates: coverage, consistency, timeliness, reliability, level of detail, uniformity and accuracy.

    Based on the present analysis, the paper finds that these data do not ameliorate the estimates and would not be suitable at this time as a measure of inter-provincial/territorial migration. These Medicare data though are an important independent data source that can be used for quality evaluation.

    Release date: 2009-01-13

  • Surveys and statistical programs – Documentation: 16-001-M2007003
    Description:

    The objective of the present study is to understand and explain how the Canadian Council of Ministers of the Environment (CCME) Water Quality Index (WQI) behaves, and at the same time determine its limitations to make a better use of it in the future. In order to do so, four data sets were made available to us thanks to participation of the following provinces: Newfoundland, Ontario, British Columbia and Quebec.

    Release date: 2007-09-19

  • Surveys and statistical programs – Documentation: 12-592-X
    Geography: Canada
    Description:

    This reference document presents an overview of the different questions used by Statistics Canada to identify Aboriginal peoples. It is divided into three parts. Part one is a brief description of the data sources and their limitations. Part 2 deals with the 2006 census questions used to identify Aboriginal peoples while Part 3 deals with the identification questions used in the Aboriginal Peoples Survey (APS) and the Aboriginal Children's Survey (ACS).

    Release date: 2007-06-07

  • Surveys and statistical programs – Documentation: 62F0026M2006001
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2006-12-12

  • Notices and consultations: 87-004-X20030039213
    Description:

    The Culture Statistics Program (CSP) has been Statistic Canada's chief source for analysis of the culture sector since the program's inception in 1972 and this role will continue. However, the CSP is making substantial changes to the way it collects culture data and, in effect, the data themselves. This article is intended to inform users of these data, of the scope of these upcoming changes and how the CSP is managing the challenges presented by this transition.

    Release date: 2006-06-12

  • Surveys and statistical programs – Documentation: 62F0026M2005007
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

    This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

    Release date: 2005-12-12

  • Surveys and statistical programs – Documentation: 62F0026M2005004
    Description:

    The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

    This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.

    Release date: 2005-07-08
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