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All (23) (0 to 10 of 23 results)
- Articles and reports: 82-003-X201401014098Geography: Province or territoryDescription:
This study compares registry and non-registry approaches to linking 2006 Census of Population data for Manitoba and Ontario to Hospital data from the Discharge Abstract Database.
Release date: 2014-10-15 - Articles and reports: 11F0027M2014092Geography: Province or territoryDescription:
Using data from the Provincial KLEMS database, this paper asks whether provincial economies have undergone structural change in their business sectors since 2000. It does so by applying a measure of industrial change (the dissimilarity index) using measures of output (real GDP) and hours worked. The paper also develops a statistical methodology to test whether the shifts in the industrial composition of output and hours worked over the period are due to random year-over-year changes in industrial structure or long-term systematic change in the structure of provincial economies. The paper is designed to inform discussion and analysis of recent changes in industrial composition at the national level, notably, the decline in manufacturing output and the concomitant rise of resource industries, and the implications of this change for provincial economies.
Release date: 2014-05-07 - Surveys and statistical programs – Documentation: 62F0026M2014001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2012 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2014-01-29 - Surveys and statistical programs – Documentation: 62F0026M2013001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2011 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2013-01-30 - Articles and reports: 82-003-X201300111764Geography: Province or territoryDescription:
This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.
Release date: 2013-01-16 - Notices and consultations: 62F0026M2012001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2010 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2012-04-25 - Surveys and statistical programs – Documentation: 62F0026M2010006Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2009 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-12-17 - Surveys and statistical programs – Documentation: 62F0026M2009002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2009-12-18 - 9. Profiling physical activity patterns among women in Manitoba: What does "moderate" mean? ArchivedArticles and reports: 11-522-X200800010973Geography: Province or territoryDescription:
The Canadian Community Health Survey (CCHS) provides timely estimates of health information at the sub-provincial level. We explore two main issues that prevented us from using physical activity data from CCHS cycle 3.1 (2005) as part of the Profile of Women's Health in Manitoba. CCHS uses the term 'moderate' to describe physical effort that meets Canadian minimum guidelines, whereas 'moderate' conversely describes sub-minimal levels of activity. A Manitoba survey of physical activity interrogates a wider variety of activities to measure respondents' daily energy expenditure. We found the latter survey better suited to our needs and more likely a better measure of women's daily physical activity and health.
Release date: 2009-12-03 - Articles and reports: 75F0002M2008006Geography: Province or territoryDescription:
Comparisons of low income between regions may have impacts on policy choices. However, it is often argued that rankings of distributions are not robust and that they are also quite sensitive to methods of defining low income. This paper avoids these problems by using a stochastic dominance approach to compare regional low income profiles in Canada without arbitrarily specifying a low-income line. This analysis is carried out for the 10 provinces using the Survey of Labour and Income Dynamics for 2000. Robustness of the results is also verified with respect to different choices of spatial price deflators and equivalence scales. The extent to which the findings are sensitive to the choice of an absolute or a relative concept of low income is also examined. We show that, in most cases, dominance relations can be determined and regional low income can be ordered for a wide range of low-income lines. We also show that dominance results are robust to the choice of equivalence scales, while rank reversal occurs when alternative cost-of-living deflators are used. Switching from an absolute to a relative low-income concept only affects low-income rankings for Ontario, Quebec and the Prairie provinces, but not in the case of other provinces. Nevertheless, for all scales, we find that low income is greatest in British Columbia.
Release date: 2008-10-09
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- Articles and reports: 82-003-X201401014098Geography: Province or territoryDescription:
This study compares registry and non-registry approaches to linking 2006 Census of Population data for Manitoba and Ontario to Hospital data from the Discharge Abstract Database.
Release date: 2014-10-15 - Articles and reports: 11F0027M2014092Geography: Province or territoryDescription:
Using data from the Provincial KLEMS database, this paper asks whether provincial economies have undergone structural change in their business sectors since 2000. It does so by applying a measure of industrial change (the dissimilarity index) using measures of output (real GDP) and hours worked. The paper also develops a statistical methodology to test whether the shifts in the industrial composition of output and hours worked over the period are due to random year-over-year changes in industrial structure or long-term systematic change in the structure of provincial economies. The paper is designed to inform discussion and analysis of recent changes in industrial composition at the national level, notably, the decline in manufacturing output and the concomitant rise of resource industries, and the implications of this change for provincial economies.
Release date: 2014-05-07 - Articles and reports: 82-003-X201300111764Geography: Province or territoryDescription:
This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.
Release date: 2013-01-16 - 4. Profiling physical activity patterns among women in Manitoba: What does "moderate" mean? ArchivedArticles and reports: 11-522-X200800010973Geography: Province or territoryDescription:
The Canadian Community Health Survey (CCHS) provides timely estimates of health information at the sub-provincial level. We explore two main issues that prevented us from using physical activity data from CCHS cycle 3.1 (2005) as part of the Profile of Women's Health in Manitoba. CCHS uses the term 'moderate' to describe physical effort that meets Canadian minimum guidelines, whereas 'moderate' conversely describes sub-minimal levels of activity. A Manitoba survey of physical activity interrogates a wider variety of activities to measure respondents' daily energy expenditure. We found the latter survey better suited to our needs and more likely a better measure of women's daily physical activity and health.
Release date: 2009-12-03 - Articles and reports: 75F0002M2008006Geography: Province or territoryDescription:
Comparisons of low income between regions may have impacts on policy choices. However, it is often argued that rankings of distributions are not robust and that they are also quite sensitive to methods of defining low income. This paper avoids these problems by using a stochastic dominance approach to compare regional low income profiles in Canada without arbitrarily specifying a low-income line. This analysis is carried out for the 10 provinces using the Survey of Labour and Income Dynamics for 2000. Robustness of the results is also verified with respect to different choices of spatial price deflators and equivalence scales. The extent to which the findings are sensitive to the choice of an absolute or a relative concept of low income is also examined. We show that, in most cases, dominance relations can be determined and regional low income can be ordered for a wide range of low-income lines. We also show that dominance results are robust to the choice of equivalence scales, while rank reversal occurs when alternative cost-of-living deflators are used. Switching from an absolute to a relative low-income concept only affects low-income rankings for Ontario, Quebec and the Prairie provinces, but not in the case of other provinces. Nevertheless, for all scales, we find that low income is greatest in British Columbia.
Release date: 2008-10-09 - Articles and reports: 11-522-X200600110444Geography: Province or territoryDescription:
General population health surveys often include small samples of smokers. Few longitudinal studies specific to smoking have been carried out. We discuss development of the Ontario Tobacco Survey (OTS) which combines a rolling longitudinal, and repeated cross-sectional components. The OTS began in July 2005 using random selection and data-collection by telephones. Every 6 months, new samples of smokers and non-smokers provide data on smoking behaviours and attitudes. Smokers enter a panel study and are followed for changes in smoking influences and behaviour. The design is proving to be cost effective in meeting sample requirements for multiple research objectives.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110452Geography: Canada, Province or territoryDescription:
Accurate information about the timing of access to primary mental health care is critically important in order to identify potentially modifiable factors which could facilitate timely and on-going management of care. No "gold standard" measure of mental health care utilization exists, so it useful to know how strengths, gaps, and limitations in different data sources influence study results. This study compares two population-wide measures of primary mental health care utilization data: the Canadian Community Health Survey of Mental Health and Well-being (CCHS, cycle 1.2) and provincial health insurance records in the province of British Columbia. It explores four questions: (1) Is 12-month prevalence of contacts with general practitioners for mental heath issues the same regardless of whether survey data or administrative data are used? (2) What is the level of agreement between the survey data and administrative data for having had any contact with a general practitioner for mental heath issues during the 12 month period before the survey interview? (3) Is the level of agreement constant throughout the 12-month period or does it decline over more distant sub-timeframes within the 12-month period? (4) What kinds of respondent characteristics, including mental disorders, are associated with agreement or lack of agreement? The results of this study will provide useful information about how to use and interpret each measure of health care utilization. In addition, it will contribute to survey design research, and to research which aims to improve the methods for using administrative data for mental health services research.
Release date: 2008-03-17 - Articles and reports: 11F0019M2006280Geography: Province or territoryDescription:
Before 1989, childless social assistance recipients in Quebec under age 30 received much lower benefits than recipients over age 30. We use this sharp discontinuity in policy to estimate the effects of social assistance on various labour market outcomes using a regression discontinuity approach. We find strong evidence that more generous social assistance benefits reduce employment. The estimates exhibit little sensitivity to the degree of flexibility in the specification, and perform very well when we control for unobserved heterogeneity using a first difference specification. Finally, we show that commonly used difference-in-differences estimators may perform poorly with inappropriately chosen control groups.
Release date: 2006-06-14 - Journals and periodicals: 84F0013XGeography: Canada, Province or territoryDescription:
This study was initiated to test the validity of probabilistic linkage methods used at Statistics Canada. It compared the results of data linkages on infant deaths in Canada with infant death data from Nova Scotia and Alberta. It also compared the availability of fetal deaths on the national and provincial files.
Release date: 1999-10-08 - 10. The Impact on the CPI of Not Surveying House Prices in Rural Regions: A Sensitivity Analysis ArchivedArticles and reports: 62F0014M1997008Geography: Province or territoryDescription:
In light of a recent change in population coverage, this study was initiated to determine whether the integrity of the Consumer Price Index (CPI) should be questioned on the grounds that it does not explicitly take into account rural house price movements. An attempt is made here to quantify the potential impact, using various regimes of artificial data to represent house price movements for rural regions. The regimes were manufactured in a way that allowed the analysis of differences between urban and rural regions in terms of the evolution of house prices, as well as differences in their cumulative price index levels. Three provinces were considered: Newfoundland, Saskatchewan, and British Columbia, all of which have large rural populations. The study results were monthly indexes for the time period, January 1986 to December 1994. The general conclusion was that house prices in rural regions would have to move very differently from those in urban regions to affect the overall level of the CPI. However, in the case of lower-level aggregates the failure to include rural house prices could be having an important effect. In addition, even when cumulative house price movements for rural and urban regions are similar, differences in their evolution tend to have an effect on the trend of the CPI, especially in the case of lower-level aggregates. While it is tempting to conclude that the current CPI methodology is robust enough to apply to the expanded population, this would be based purely on conjecture about the nature of movements in rural house prices. Hence, a second phase of this study will be initiated, whose purpose will be to develop a methodology to construct price indexes for rural regions.
Release date: 1999-05-13
Reference (11)
Reference (11) (0 to 10 of 11 results)
- Surveys and statistical programs – Documentation: 62F0026M2014001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2012 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2014-01-29 - Surveys and statistical programs – Documentation: 62F0026M2013001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2011 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2013-01-30 - Notices and consultations: 62F0026M2012001Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2010 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2012-04-25 - Surveys and statistical programs – Documentation: 62F0026M2010006Geography: Province or territoryDescription:
This report describes the quality indicators produced for the 2009 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-12-17 - Surveys and statistical programs – Documentation: 62F0026M2009002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2009-12-18 - Surveys and statistical programs – Documentation: 62F0026M2006001Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2006-12-12 - Surveys and statistical programs – Documentation: 62F0026M2005007Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).
Release date: 2005-12-12 - Surveys and statistical programs – Documentation: 62F0026M2004003Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households.
This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2004-12-13 - Surveys and statistical programs – Documentation: 62F0026M2003002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Conducted in January, February and March after the reference year, data are collected via personal interview using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2003-12-17 - Surveys and statistical programs – Documentation: 62F0026M2002002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).
Release date: 2002-12-11
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