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All (24,412)

All (24,412) (24,380 to 24,390 of 24,412 results)

  • 24,381. Linkable File Environment
    Surveys and statistical programs – Documentation: 6000
    Description: Through the linkage process the Linkable File Environment (LFE) leverages the single-subject ability of existing surveys and administrative data to inform on business and economic issues. It positions these surveys and administrative data to support longitudinal and cross sectional analysis and offers opportunities, amongst others, to use additional variables to assess entrepreneurship, employment, productivity, competitiveness etc.
  • 24,382. Bank of Canada
    Surveys and statistical programs – Documentation: 7502
    Description: This is non-Statistics Canada information.
  • 24,383. Dangerous Goods Accident Information System - Transport Canada
    Surveys and statistical programs – Documentation: 7503
    Description: This is non-Statistics Canada information.
  • 24,384. Employment and Social Development Canada
    Surveys and statistical programs – Documentation: 7504
    Description: This is non-Statistics Canada information.
  • 24,385. Canada Mortgage and Housing Corporation
    Surveys and statistical programs – Documentation: 7505
    Description: The Canada Mortgage and Housing Corporation (CMHC) produces a comprehensive database containing more than 14,000 housing series. From CANSIM you can download residential housing statistics on housing starts, completions, under construction and newly completed and unoccupied; vacancy rates; and mortgage information.
  • 24,386. Stock Exchange Statistics
    Surveys and statistical programs – Documentation: 7506
    Description: This is non-Statistics Canada information.
  • 24,387. Canadian Life and Health Insurance Association Inc.
    Surveys and statistical programs – Documentation: 7507
    Description: This is non-Statistics Canada information.
  • 24,388. Office of the Superintendent of Bankruptcy Canada
    Surveys and statistical programs – Documentation: 7508
    Description: This is non-Statistics Canada information.
  • 24,389. Public Health Agency of Canada
    Surveys and statistical programs – Documentation: 7509
    Description: This is non-Statistics Canada information.
  • 24,390. ScotiaMcLeod
    Surveys and statistical programs – Documentation: 7510
    Description: This is non-Statistics Canada information.
Data (12,040)

Data (12,040) (0 to 10 of 12,040 results)

Analysis (10,002)

Analysis (10,002) (50 to 60 of 10,002 results)

  • 51. Socioeconomic profile of working-age immigrants in same-sex couples in Canada from 2000 to 2020
    Articles and reports: 36-28-0001202400600005
    Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.
    Release date: 2024-06-26
  • 52. An update on the profile of children with affirmative responses to the 2021 Census questions on difficulties with activities of daily living
    Articles and reports: 36-28-0001202400600006
    Description: This study presents an updated sociodemographic profile of children aged 0 to 14 years with affirmative responses largely based on parent reports to the questions on the 2021 Census long-form questionnaire about difficulties with activities of daily living.
    Release date: 2024-06-26
  • 53. Economic and Social Reports June 2024
    Stats in brief: 11-001-X202417822588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 54. National tourism indicators first quarter 2024
    Stats in brief: 11-001-X20241783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26
  • 55. Survey Methodology
    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: 2024-06-25
  • 56. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
    Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25
  • 57. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25
  • 58. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25
  • 59. Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data
    Articles and reports: 12-001-X202400100004
    Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
    Release date: 2024-06-25
  • 60. Author’s response to comments on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100005
    Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
    Release date: 2024-06-25
Reference (1,895)

Reference (1,895) (0 to 10 of 1,895 results)

  • 1. Guide to Employment Insurance Statistics (EIS)
    Surveys and statistical programs – Documentation: 73-506-G
    Description: The Guide to Employment Insurance Statistics (EIS) summarizes the survey methodology and data source and includes a dictionary of concepts and definitions used by the program.
    Release date: 2024-07-18
  • 2. Technical Reference Guide for the Annual Income Estimates for Census Families, Individuals and Seniors, T1 Family File
    Surveys and statistical programs – Documentation: 72-212-X
    Description: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2024-06-27
  • 3. T1 Family File, Final Estimates, 2022
    Surveys and statistical programs – Documentation: 72-212-X2024001
    Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2024-06-27
  • 4. Census Subdivision Boundary File, Reference Guide
    Geographic files and documentation: 92-162-G
    Description: This reference guide is intended for users of the Census Subdivisions Boundary File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.
    Release date: 2024-06-26
  • 5. Census Subdivision Boundary File
    Geographic files and documentation: 92-162-X
    Description: The Census Subdivision Boundary File contains the boundaries of all census subdivisions which combined cover all of Canada. A census subdivision is a municipality or an area treated as an equivalent to a municipality for statistical purposes (for example, Indian reserves and unorganized territories). The file provides a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.

    The Census Subdivision Boundary File is portrayed in Lambert conformal conic projection and is based on the North American Datum of 1983 (NAD83). A reference guide is available (92-162-G).

    Release date: 2024-06-26
  • 6. Road Network File, Reference Guide
    Geographic files and documentation: 92-500-G
    Description: This reference guide is intended for users of the Road Network File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.
    Release date: 2024-06-26
  • 7. Road Network File
    Geographic files and documentation: 92-500-X
    Geography: Canada
    Description: The Road Network File (RNF) is a digital representation of Canada's national road network, containing information such as street names, types, directions and address ranges. The information comes from the National Geographic Database (NGD).

    A reference guide is available (92-500-G).

    Release date: 2024-06-26
  • 8. Interim List of Changes to Municipal Boundaries, Status, and Names
    Notices and consultations: 92F0009X
    Description: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.
    Release date: 2024-06-26
  • 9. Population Projections for Canada, Provinces and Territories: Technical Report on Methodology and Assumptions
    Surveys and statistical programs – Documentation: 91-620-X
    Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.
    Release date: 2024-06-24
  • 10. Guide to the Job Vacancy and Wage Survey
    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: 2024-06-18
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