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All (21) (0 to 10 of 21 results)

  • Articles and reports: 12-001-X201600214684
    Description:

    This paper introduces an incomplete adaptive cluster sampling design that is easy to implement, controls the sample size well, and does not need to follow the neighbourhood. In this design, an initial sample is first selected, using one of the conventional designs. If a cell satisfies a prespecified condition, a specified radius around the cell is sampled completely. The population mean is estimated using the \pi-estimator. If all the inclusion probabilities are known, then an unbiased \pi estimator is available; if, depending on the situation, the inclusion probabilities are not known for some of the final sample units, then they are estimated. To estimate the inclusion probabilities, a biased estimator is constructed. However, the simulations show that if the sample size is large enough, the error of the inclusion probabilities is negligible, and the relative \pi-estimator is almost unbiased. This design rivals adaptive cluster sampling because it controls the final sample size and is easy to manage. It rivals adaptive two-stage sequential sampling because it considers the cluster form of the population and reduces the cost of moving across the area. Using real data on a bird population and simulations, the paper compares the design with adaptive two-stage sequential sampling. The simulations show that the design has significant efficiency in comparison with its rival.

    Release date: 2016-12-20

  • Articles and reports: 85-002-X201600114679
    Description:

    Using data from the Uniform Crime Reporting Survey, this Juristat article presents data on police-reported impaired driving, including data specific to drug-impaired driving. More precisely, it examines the trends of impaired driving in Canada, the provinces and territories and in census metropolitan areas. Characteristics of impaired driving, such as the age and sex of accused persons and the time of day or time of year when those incidents occur, are also examined. The analysis is also supported by self-reported data on impaired driving from the Canadian community health survey. This Juristat article also presents data on impaired driving cases completed by criminal courts, including comparisons between alcohol and drug-impaired cases.

    Release date: 2016-12-14

  • Articles and reports: 11-633-X2016003
    Description:

    Large national mortality cohorts are used to estimate mortality rates for different socioeconomic and population groups, and to conduct research on environmental health. In 2008, Statistics Canada created a cohort linking the 1991 Census to mortality. The present study describes a linkage of the 2001 Census long-form questionnaire respondents aged 19 years and older to the T1 Personal Master File and the Amalgamated Mortality Database. The linkage tracks all deaths over a 10.6-year period (until the end of 2011, to date).

    Release date: 2016-10-26

  • Stats in brief: 82-624-X201600114649
    Description:

    Congenital anomalies, commonly referred to as birth defects, describe conditions that develop in the fetus at the time of conception or during pregnancy. This article presents data on trends in the average age at death, and death rates from five of the most common congenital anomalies: circulatory anomalies; Spina Bifida; and three chromosomal anomalies-Down syndrome, Edwards' syndrome and Patau's syndrome. Data from the 1974 to 2012 Canadian Vital Statistics-Deaths Database will be used to examine differences in the death rate due to congenital anomalies, among infants in Canada.

    Release date: 2016-09-29

  • Articles and reports: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 82-003-X201600714644
    Geography: Census metropolitan area
    Description: Children younger than age 18 enumerated in the 2006 Census who lived in Toronto, Montreal or Vancouver were linked to published air pollution exposure land use regression models to assign exposure at the Dissemination Area level. Associations between both socioeconomic and visible minority status and exposure to ambient nitrogen dioxide among children in these three cities were examined in a series of regression models.
    Release date: 2016-07-20

  • Articles and reports: 82-003-X201600714646
    Description:

    This study uses the 1991-to-2006 Census Mortality and Cancer Cohort to assess the influence of community factors as measured by the Community Well-being index and individual characteristics on the mortality of individuals who identified as Registered First Nations people or Indian band members.

    Release date: 2016-07-20

  • Articles and reports: 12-001-X201600114539
    Description:

    Statistical matching is a technique for integrating two or more data sets when information available for matching records for individual participants across data sets is incomplete. Statistical matching can be viewed as a missing data problem where a researcher wants to perform a joint analysis of variables that are never jointly observed. A conditional independence assumption is often used to create imputed data for statistical matching. We consider a general approach to statistical matching using parametric fractional imputation of Kim (2011) to create imputed data under the assumption that the specified model is fully identified. The proposed method does not have a convergent EM sequence if the model is not identified. We also present variance estimators appropriate for the imputation procedure. We explain how the method applies directly to the analysis of data from split questionnaire designs and measurement error models.

    Release date: 2016-06-22

  • Articles and reports: 12-001-X201600114541
    Description:

    In this work we compare nonparametric estimators for finite population distribution functions based on two types of fitted values: the fitted values from the well-known Kuo estimator and a modified version of them, which incorporates a nonparametric estimate for the mean regression function. For each type of fitted values we consider the corresponding model-based estimator and, after incorporating design weights, the corresponding generalized difference estimator. We show under fairly general conditions that the leading term in the model mean square error is not affected by the modification of the fitted values, even though it slows down the convergence rate for the model bias. Second order terms of the model mean square errors are difficult to obtain and will not be derived in the present paper. It remains thus an open question whether the modified fitted values bring about some benefit from the model-based perspective. We discuss also design-based properties of the estimators and propose a variance estimator for the generalized difference estimator based on the modified fitted values. Finally, we perform a simulation study. The simulation results suggest that the modified fitted values lead to a considerable reduction of the design mean square error if the sample size is small.

    Release date: 2016-06-22

  • Articles and reports: 11F0019M2016379
    Description:

    Comparative studies of intergenerational earnings and income mobility largely rank Canada as one of the most mobile countries among advanced economies, such as Denmark, Finland and Norway. The assertion that Canada is a highly mobile society is drawn from intergenerational income elasticity estimates reported in Corak and Heisz (1999). Corak and Heisz used data from the earlier version of the Intergenerational Income Database (IID), which tracked income of Canadian youth only into their early thirties. Recent theoretical literature, however, suggests that the relationship between childrens’ and parents’ lifetime income may not be accurately estimated when children’s income are not observed from their mid-careers— known as lifecycle bias. The present study addresses this concern by re-examining the extent of intergenerational earnings and income mobility in Canada using the updated version of the IID, which tracks children well into their mid-forties, when mid-career income are observed.

    Release date: 2016-06-17
Stats in brief (1)

Stats in brief (1) ((1 result))

  • Stats in brief: 82-624-X201600114649
    Description:

    Congenital anomalies, commonly referred to as birth defects, describe conditions that develop in the fetus at the time of conception or during pregnancy. This article presents data on trends in the average age at death, and death rates from five of the most common congenital anomalies: circulatory anomalies; Spina Bifida; and three chromosomal anomalies-Down syndrome, Edwards' syndrome and Patau's syndrome. Data from the 1974 to 2012 Canadian Vital Statistics-Deaths Database will be used to examine differences in the death rate due to congenital anomalies, among infants in Canada.

    Release date: 2016-09-29
Articles and reports (20)

Articles and reports (20) (0 to 10 of 20 results)

  • Articles and reports: 12-001-X201600214684
    Description:

    This paper introduces an incomplete adaptive cluster sampling design that is easy to implement, controls the sample size well, and does not need to follow the neighbourhood. In this design, an initial sample is first selected, using one of the conventional designs. If a cell satisfies a prespecified condition, a specified radius around the cell is sampled completely. The population mean is estimated using the \pi-estimator. If all the inclusion probabilities are known, then an unbiased \pi estimator is available; if, depending on the situation, the inclusion probabilities are not known for some of the final sample units, then they are estimated. To estimate the inclusion probabilities, a biased estimator is constructed. However, the simulations show that if the sample size is large enough, the error of the inclusion probabilities is negligible, and the relative \pi-estimator is almost unbiased. This design rivals adaptive cluster sampling because it controls the final sample size and is easy to manage. It rivals adaptive two-stage sequential sampling because it considers the cluster form of the population and reduces the cost of moving across the area. Using real data on a bird population and simulations, the paper compares the design with adaptive two-stage sequential sampling. The simulations show that the design has significant efficiency in comparison with its rival.

    Release date: 2016-12-20

  • Articles and reports: 85-002-X201600114679
    Description:

    Using data from the Uniform Crime Reporting Survey, this Juristat article presents data on police-reported impaired driving, including data specific to drug-impaired driving. More precisely, it examines the trends of impaired driving in Canada, the provinces and territories and in census metropolitan areas. Characteristics of impaired driving, such as the age and sex of accused persons and the time of day or time of year when those incidents occur, are also examined. The analysis is also supported by self-reported data on impaired driving from the Canadian community health survey. This Juristat article also presents data on impaired driving cases completed by criminal courts, including comparisons between alcohol and drug-impaired cases.

    Release date: 2016-12-14

  • Articles and reports: 11-633-X2016003
    Description:

    Large national mortality cohorts are used to estimate mortality rates for different socioeconomic and population groups, and to conduct research on environmental health. In 2008, Statistics Canada created a cohort linking the 1991 Census to mortality. The present study describes a linkage of the 2001 Census long-form questionnaire respondents aged 19 years and older to the T1 Personal Master File and the Amalgamated Mortality Database. The linkage tracks all deaths over a 10.6-year period (until the end of 2011, to date).

    Release date: 2016-10-26

  • Articles and reports: 11F0019M2016381
    Description:

    Changes in health status may affect not just the individuals who experience such changes, but also their family members. For example, if the main earner in a family loses his or her ability to generate income due to a health shock, it invariably affects the financial situation of the spouse and other dependents. In addition, spouses and working-age children may themselves increase or reduce their labour supply to make up for the lost income (“added worker effect”) or care for a sick family member (“caregiver effect”). Since consumption smoothing and self-insurance occur at the household level, the financial effects of health for other family members have important policy implications. To shed light on such effects, this study analyzes how one spouse’s cancer diagnosis affects the employment and earnings of the other spouse and (before-tax) total family income using administrative data from Canada.

    Release date: 2016-07-22

  • Articles and reports: 82-003-X201600714644
    Geography: Census metropolitan area
    Description: Children younger than age 18 enumerated in the 2006 Census who lived in Toronto, Montreal or Vancouver were linked to published air pollution exposure land use regression models to assign exposure at the Dissemination Area level. Associations between both socioeconomic and visible minority status and exposure to ambient nitrogen dioxide among children in these three cities were examined in a series of regression models.
    Release date: 2016-07-20

  • Articles and reports: 82-003-X201600714646
    Description:

    This study uses the 1991-to-2006 Census Mortality and Cancer Cohort to assess the influence of community factors as measured by the Community Well-being index and individual characteristics on the mortality of individuals who identified as Registered First Nations people or Indian band members.

    Release date: 2016-07-20

  • Articles and reports: 12-001-X201600114539
    Description:

    Statistical matching is a technique for integrating two or more data sets when information available for matching records for individual participants across data sets is incomplete. Statistical matching can be viewed as a missing data problem where a researcher wants to perform a joint analysis of variables that are never jointly observed. A conditional independence assumption is often used to create imputed data for statistical matching. We consider a general approach to statistical matching using parametric fractional imputation of Kim (2011) to create imputed data under the assumption that the specified model is fully identified. The proposed method does not have a convergent EM sequence if the model is not identified. We also present variance estimators appropriate for the imputation procedure. We explain how the method applies directly to the analysis of data from split questionnaire designs and measurement error models.

    Release date: 2016-06-22

  • Articles and reports: 12-001-X201600114541
    Description:

    In this work we compare nonparametric estimators for finite population distribution functions based on two types of fitted values: the fitted values from the well-known Kuo estimator and a modified version of them, which incorporates a nonparametric estimate for the mean regression function. For each type of fitted values we consider the corresponding model-based estimator and, after incorporating design weights, the corresponding generalized difference estimator. We show under fairly general conditions that the leading term in the model mean square error is not affected by the modification of the fitted values, even though it slows down the convergence rate for the model bias. Second order terms of the model mean square errors are difficult to obtain and will not be derived in the present paper. It remains thus an open question whether the modified fitted values bring about some benefit from the model-based perspective. We discuss also design-based properties of the estimators and propose a variance estimator for the generalized difference estimator based on the modified fitted values. Finally, we perform a simulation study. The simulation results suggest that the modified fitted values lead to a considerable reduction of the design mean square error if the sample size is small.

    Release date: 2016-06-22

  • Articles and reports: 11F0019M2016379
    Description:

    Comparative studies of intergenerational earnings and income mobility largely rank Canada as one of the most mobile countries among advanced economies, such as Denmark, Finland and Norway. The assertion that Canada is a highly mobile society is drawn from intergenerational income elasticity estimates reported in Corak and Heisz (1999). Corak and Heisz used data from the earlier version of the Intergenerational Income Database (IID), which tracked income of Canadian youth only into their early thirties. Recent theoretical literature, however, suggests that the relationship between childrens’ and parents’ lifetime income may not be accurately estimated when children’s income are not observed from their mid-careers— known as lifecycle bias. The present study addresses this concern by re-examining the extent of intergenerational earnings and income mobility in Canada using the updated version of the IID, which tracks children well into their mid-forties, when mid-career income are observed.

    Release date: 2016-06-17

  • Articles and reports: 11-626-X2016059
    Description:

    This Economic Insights article examines the extent to which the lifetime income of children is correlated with the lifetime income of their fathers—a topic known as intergenerational income mobility. The analysis uses data from Statistics Canada’s Intergenerational Income Database, which links together children and their parents using tax files. The data provides information that permits the comparison of the income of children to those of parents at a similar stage of the lifecycle. A longer, more detailed study is also available.

    Release date: 2016-06-17
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