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  • Journals and periodicals: 75-006-X
    Geography: Canada
    Description:

    This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

    Release date: 2019-05-15

  • Articles and reports: 75-006-X201800154968
    Description:

    Based on data from the 2015 Canadian Tobacco, Alcohol and Drugs Survey and the 2014 General Social Survey on Victimization, this article examines recent cannabis use in Canada, with a focus on the characteristics of people who use cannabis. It also discusses the harmful effects from cannabis consumption reported by those who use cannabis, as well as the association between frequency of cannabis use and selected social indicators such as self-reported health, confidence in police and the justice system, and victimization.

    Release date: 2018-05-03

  • Articles and reports: 12-001-X201400114000
    Description:

    We have used the generalized linearization technique based on the concept of influence function, as Osier has done (Osier 2009), to estimate the variance of complex statistics such as Laeken indicators. Simulations conducted using the R language show that the use of Gaussian kernel estimation to estimate an income density function results in a strongly biased variance estimate. We are proposing two other density estimation methods that significantly reduce the observed bias. One of the methods has already been outlined by Deville (2000). The results published in this article will help to significantly improve the quality of information on the precision of certain Laeken indicators that are disseminated and compared internationally.

    Release date: 2014-06-27
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  • Journals and periodicals: 75-006-X
    Geography: Canada
    Description:

    This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

    Release date: 2019-05-15

  • Articles and reports: 75-006-X201800154968
    Description:

    Based on data from the 2015 Canadian Tobacco, Alcohol and Drugs Survey and the 2014 General Social Survey on Victimization, this article examines recent cannabis use in Canada, with a focus on the characteristics of people who use cannabis. It also discusses the harmful effects from cannabis consumption reported by those who use cannabis, as well as the association between frequency of cannabis use and selected social indicators such as self-reported health, confidence in police and the justice system, and victimization.

    Release date: 2018-05-03

  • Articles and reports: 12-001-X201400114000
    Description:

    We have used the generalized linearization technique based on the concept of influence function, as Osier has done (Osier 2009), to estimate the variance of complex statistics such as Laeken indicators. Simulations conducted using the R language show that the use of Gaussian kernel estimation to estimate an income density function results in a strongly biased variance estimate. We are proposing two other density estimation methods that significantly reduce the observed bias. One of the methods has already been outlined by Deville (2000). The results published in this article will help to significantly improve the quality of information on the precision of certain Laeken indicators that are disseminated and compared internationally.

    Release date: 2014-06-27
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