Other content related to Statistical methods

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Type

1 facets displayed. 1 facets selected.

Geography

1 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (79)

All (79) (50 to 60 of 79 results)

  • 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

  • 58. Keynote address Archived
    Articles and reports: 11-522-X20020016753
    Description:

    Keynote Address.

    Release date: 2004-09-13

  • Articles and reports: 75F0002M2004001
    Description:

    The purpose of this document is to describe the detailed methodology and assumptions behind the construction of the market basket measure (MBM) of low income. Also this document will raise some issues and highlight some data limitations related to the MBM.

    The MBM represents the cost of a basket that includes a nutritious diet, clothing and footwear, shelter, transportation, and other necessary goods and services (such as personal care items or household supplies).

    The MBM methodology was developed by the Federal/Provincial/Territorial Working Group on Social Development Research and Information for Human Resources Development Canada (HRDC).

    Release date: 2004-02-04

  • Articles and reports: 81-595-M2003011
    Geography: Canada
    Description:

    This report presents a rethinking of the fundamental concepts used to guide statistical work on postsecondary education.

    Release date: 2003-12-23
Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (79)

Analysis (79) (0 to 10 of 79 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

  • 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

  • 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

  • Articles and reports: 75F0002M2022004
    Description:

    This technical paper describes the results of the review period, including small adjustments to the disposable income amounts used in the discussion paper Construction of a Northern Market Basket Measure (MBM-N) of poverty for Yukon and the Northwest Territories. It also marks the end of the review period for the MBM-N for Yukon and the Northwest Territories by presenting the latest poverty estimates for reference year 2020.

    Release date: 2022-11-03

  • Articles and reports: 11-633-X2022002
    Description:

    This paper provides a description of the conceptual framework of the modernized system of national quality-of-life statistics that Statistics Canada is planning to implement within the next 5 to 10 years. Consistent with 50 years of dialogue on the improvement of social statistics, the conceptual framework proposes the adoption of a micro-level approach to describe how society operates and help create a cohesive and integrated system of quality-of-life statistics.

    Release date: 2022-06-01

  • Articles and reports: 11-633-X2021006
    Description:

    This paper describes the current thinking at Statistics Canada about future directions in social statistics. It describes how the system of statistics on social statistics (which would be renamed quality of life statistics) will look like in the next 5 to 10 years if Statistics Canada adopts the transformative methodologies and dissemination products that are needed to meet the growing demand for more disaggregated, timely, granular, accessible and more responsive statistics on quality of life.

    Release date: 2022-01-31

  • Articles and reports: 11-633-X2021007
    Description:

    Statistics Canada continues to use a variety of data sources to provide neighbourhood-level variables across an expanding set of domains, such as sociodemographic characteristics, income, services and amenities, crime, and the environment. Yet, despite these advances, information on the social aspects of neighbourhoods is still unavailable. In this paper, answers to the Canadian Community Health Survey on respondents’ sense of belonging to their local community were pooled over the four survey years from 2016 to 2019. Individual responses were aggregated up to the census tract (CT) level.

    Release date: 2021-11-16

  • Articles and reports: 75F0002M2021007
    Description:

    This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Yukon and the Northwest Territories, 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 and 2019. 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: 2021-11-12
Reference (0)

Reference (0) (0 results)

No content available at this time.

Date modified: