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All (28)

All (28) (0 to 10 of 28 results)

  • 89-26-0006
    Description: PASSAGES is an open-source dynamic microsimulation model aimed at supporting policy analysis and research relating to Canadian retirement income system outcomes at the individual and family level. The publicly available version includes a synthetic starting database, a model, and documentation. A confidential starting database is also available.
    Release date: 2024-04-23

  • 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: 2024-04-12

  • Articles and reports: 12-001-X202300200011
    Description: The article considers sampling designs for populations that can be represented as a N × M matrix. For instance when investigating tourist activities, the rows could be locations visited by tourists and the columns days in the tourist season. The goal is to sample cells (i, j) of the matrix when the number of selections within each row and each column is fixed a priori. The ith row sample size represents the number of selected cells within row i; the jth column sample size is the number of selected cells within column j. A matrix sampling design gives an N × M matrix of sample indicators, with entry 1 at position (i, j) if cell (i, j) is sampled and 0 otherwise. The first matrix sampling design investigated has one level of sampling, row and column sample sizes are set in advance: the row sample sizes can vary while the column sample sizes are all equal. The fixed margins can be seen as balancing constraints and algorithms available for selecting such samples are reviewed. A new estimator for the variance of the Horvitz-Thompson estimator for the mean of survey variable y is then presented. Several levels of sampling might be necessary to account for all the constraints; this involves multi-level matrix sampling designs that are also investigated.
    Release date: 2024-01-03

  • Stats in brief: 11-001-X201800817781
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2018-01-08

  • Articles and reports: 11-633-X2017008
    Description:

    The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.

    Release date: 2017-07-28

  • Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21

  • Journals and periodicals: 91-621-X
    Description:

    This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

    Release date: 2017-01-25

  • 8. Demosim 2017 Archived
    Articles and reports: 91-621-X2017001
    Description:

    This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

    Release date: 2017-01-25

  • Articles and reports: 82-003-X201600314338
    Description:

    This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.

    Release date: 2016-03-16

  • Articles and reports: 82-003-X201501214293
    Description:

    The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.

    Release date: 2015-12-16
Data (1)

Data (1) ((1 result))

  • 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: 2024-04-12
Analysis (25)

Analysis (25) (0 to 10 of 25 results)

  • Articles and reports: 12-001-X202300200011
    Description: The article considers sampling designs for populations that can be represented as a N × M matrix. For instance when investigating tourist activities, the rows could be locations visited by tourists and the columns days in the tourist season. The goal is to sample cells (i, j) of the matrix when the number of selections within each row and each column is fixed a priori. The ith row sample size represents the number of selected cells within row i; the jth column sample size is the number of selected cells within column j. A matrix sampling design gives an N × M matrix of sample indicators, with entry 1 at position (i, j) if cell (i, j) is sampled and 0 otherwise. The first matrix sampling design investigated has one level of sampling, row and column sample sizes are set in advance: the row sample sizes can vary while the column sample sizes are all equal. The fixed margins can be seen as balancing constraints and algorithms available for selecting such samples are reviewed. A new estimator for the variance of the Horvitz-Thompson estimator for the mean of survey variable y is then presented. Several levels of sampling might be necessary to account for all the constraints; this involves multi-level matrix sampling designs that are also investigated.
    Release date: 2024-01-03

  • Stats in brief: 11-001-X201800817781
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2018-01-08

  • Articles and reports: 11-633-X2017008
    Description:

    The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.

    Release date: 2017-07-28

  • Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21

  • Journals and periodicals: 91-621-X
    Description:

    This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

    Release date: 2017-01-25

  • 6. Demosim 2017 Archived
    Articles and reports: 91-621-X2017001
    Description:

    This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

    Release date: 2017-01-25

  • Articles and reports: 82-003-X201600314338
    Description:

    This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.

    Release date: 2016-03-16

  • Articles and reports: 82-003-X201501214293
    Description:

    The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.

    Release date: 2015-12-16

  • 9. Demosim 2015 Archived
    Articles and reports: 91-621-X2015001
    Description:

    This document briefly describes Demosim, the microsimulation population projection model, how it works as well as its methods and data sources. It is a methodological complement to the analytical products produced using Demosim.

    Release date: 2015-09-17

  • Articles and reports: 11-522-X201300014279
    Description:

    As part of the European SustainCity project, a microsimulation model of individuals and households was created to simulate the population of various European cities. The aim of the project was to combine several transportation and land-use microsimulation models (land-use modelling), add on a dynamic population module and apply these microsimulation approaches to three geographic areas of Europe (the Île-de-France region and the Brussels and Zurich agglomerations

    Release date: 2014-10-31
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 11-522-X201300014290
    Description:

    This paper describes a new module that will project families and households by Aboriginal status using the Demosim microsimulation model. The methodology being considered would assign a household/family headship status annually to each individual and would use the headship rate method to calculate the number of annual families and households by various characteristics and geographies associated with Aboriginal populations.

    Release date: 2014-10-31
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