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- Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - 2. Creation of a composite quality indicator for administrative data-based estimates using clustering ArchivedArticles and reports: 11-522-X202100100015Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.
Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.
Release date: 2021-10-22 - Articles and reports: 82-003-X202100900001Description:
In light of increasing Canadian immigration levels, an updated analysis of hospitalization patterns among immigrants to Canada, relative to the Canadian-born population, is needed to inform health care system policy and planning. Using immigrant landing administrative data linked to health care data, this descriptive study aims to examine hospitalization rates and leading causes of hospitalization, including mental health in immigrants and the Canadian-born population, stratified by sex and selected immigration characteristics.
Release date: 2021-09-15 - Articles and reports: 82-003-X202100800002Description:
With data from the 2019 Canadian Community Health Survey, this study assessed the use of and exposure to handheld laser devices by Canadians and the potential associated health risks. In addition to the prevalence of handheld laser exposure or use, the frequency and type of injury sustained, and whether the injury was the result of personal use or someone else's use, the study also determined the type of handheld laser device being used and where the device was obtained.
Release date: 2021-08-18 - Articles and reports: 11-633-X2021004Description:
International migration has become increasingly fluid and is viewed decreasingly as a one-time, permanent movement from a source country to a destination country. Immigrant-receiving countries often point to long-term economic- and population-related goals as motivations for permanent immigration programs, making immigrants’ presence and absence patterns of increasing policy interest. This article explores two methodological issues related to measuring immigrants’ potential presence in Canada. The first is the use of auxiliary administrative data sources as a means to supplement the T1 Income Tax Return file, which—to date—has been one of the key data sources used to estimate emigration among Canadian immigrants. The second is the evaluation of the sensitivity of emigration estimates to the definition of immigrant disappearance and reappearance in administrative data.
Release date: 2021-03-16 - Articles and reports: 36-28-0001202100200002Description:
This Insights article examines the degree to which workers who lost their job in 2009 started a business, changed regions, went back to school or began a registered apprenticeship in 2010, the year following job loss. The analysis combines the 2001 Census of Population with Statistics Canada’s Longitudinal Worker File and Registered Apprenticeship Information System.
Release date: 2021-02-24
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Articles and reports (6)
Articles and reports (6) ((6 results))
- Articles and reports: 11-633-X2021009Description:
This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.
Release date: 2021-12-09 - 2. Creation of a composite quality indicator for administrative data-based estimates using clustering ArchivedArticles and reports: 11-522-X202100100015Description: National statistical agencies such as Statistics Canada have a responsibility to convey the quality of statistical information to users. The methods traditionally used to do this are based on measures of sampling error. As a result, they are not adapted to the estimates produced using administrative data, for which the main sources of error are not due to sampling. A more suitable approach to reporting the quality of estimates presented in a multidimensional table is described in this paper. Quality indicators were derived for various post-acquisition processing steps, such as linkage, geocoding and imputation, by estimation domain. A clustering algorithm was then used to combine domains with similar quality levels for a given estimate. Ratings to inform users of the relative quality of estimates across domains were assigned to the groups created. This indicator, called the composite quality indicator (CQI), was developed and experimented with in the Canadian Housing Statistics Program (CHSP), which aims to produce official statistics on the residential housing sector in Canada using multiple administrative data sources.
Keywords: Unsupervised machine learning, quality assurance, administrative data, data integration, clustering.
Release date: 2021-10-22 - Articles and reports: 82-003-X202100900001Description:
In light of increasing Canadian immigration levels, an updated analysis of hospitalization patterns among immigrants to Canada, relative to the Canadian-born population, is needed to inform health care system policy and planning. Using immigrant landing administrative data linked to health care data, this descriptive study aims to examine hospitalization rates and leading causes of hospitalization, including mental health in immigrants and the Canadian-born population, stratified by sex and selected immigration characteristics.
Release date: 2021-09-15 - Articles and reports: 82-003-X202100800002Description:
With data from the 2019 Canadian Community Health Survey, this study assessed the use of and exposure to handheld laser devices by Canadians and the potential associated health risks. In addition to the prevalence of handheld laser exposure or use, the frequency and type of injury sustained, and whether the injury was the result of personal use or someone else's use, the study also determined the type of handheld laser device being used and where the device was obtained.
Release date: 2021-08-18 - Articles and reports: 11-633-X2021004Description:
International migration has become increasingly fluid and is viewed decreasingly as a one-time, permanent movement from a source country to a destination country. Immigrant-receiving countries often point to long-term economic- and population-related goals as motivations for permanent immigration programs, making immigrants’ presence and absence patterns of increasing policy interest. This article explores two methodological issues related to measuring immigrants’ potential presence in Canada. The first is the use of auxiliary administrative data sources as a means to supplement the T1 Income Tax Return file, which—to date—has been one of the key data sources used to estimate emigration among Canadian immigrants. The second is the evaluation of the sensitivity of emigration estimates to the definition of immigrant disappearance and reappearance in administrative data.
Release date: 2021-03-16 - Articles and reports: 36-28-0001202100200002Description:
This Insights article examines the degree to which workers who lost their job in 2009 started a business, changed regions, went back to school or began a registered apprenticeship in 2010, the year following job loss. The analysis combines the 2001 Census of Population with Statistics Canada’s Longitudinal Worker File and Registered Apprenticeship Information System.
Release date: 2021-02-24
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