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All (6) ((6 results))

  • Articles and reports: 91F0015M1996002
    Geography: Canada
    Description:

    This paper attempts to rescue a small but nonetheless important segment of the Canadian population from neglect, those classified by the census as long-term residents in collective dwellings. In 1991, 440,000 Canadians belonged to this population, living in nursing homes, correctional institutions, rooming houses and the like. The changing age-sex structure of the Canadian population caused their number to increase between 1971 and 1991, despite the fact that Canadian men and women were less likely at most ages to live in collective dwellings in the latter year.

    Non-census data on several segments of this population are reviewed, especially for people in health-related institutions and in correctional facilities, and reveal that long-term residents are in each case a small fraction of a much larger population with a relatively brief contact with the institution on average. This review concludes that non-census data can provide a useful context for the study of the population in collective dwellings, but that the census is at present the only data source providing a comprehensive overview, despite the limited data collected and the even more limited data published.

    Special tabulations from the 1971, 1981 and 1991 censuses are used to explore its changing size and age-sex structure with particular attention to three of its components, people in health-related institutions, in service collective dwellings and in religious institutions. A significant difference between people in collective dwellings and those in private dwellings is that the former have, whether willingly or unwillingly, left the family circle. Hence, marital status is a key variable, and is used to show the close relationship between the changing marital status of the population, in particular the declining numbers of the never married and the growing numbers of separated, widowed or divorced older women, and structural changes.

    Release date: 1996-12-20

  • Articles and reports: 82-003-X19960022829
    Geography: Canada
    Description:

    Breast cancer is the leading form of cancer diagnosed in Canadian women (excluding non-melanoma skin cancer), accounting for about 30% of all new cases. After age 30, incidence rates begin to rise, and the highest rates are among women aged 60 and over. Canadian incidence rates have increased slowly and steadily since 1969, rising most rapidly among women aged 50 and over. Canada's rates are among the highest of any country in the world, ranking second only to those in the United States. After decades of little change, breast cancer mortality rates for all ages combined have declined slightly since 1990. While not dramatic, this decline is statistically significant and is consistent with similar decreases in the United Kingdom, the United States, and Australia. Breast cancer survival rates are relatively more favourable than those of other forms of cancer. Survival rates are better for younger women and for women whose cancer was detected at an early stage. This article presents breast cancer data from the Canadian Cancer Registry, the National Cancer Incidence Reporting System, and vital statistics mortality data, all of which are maintained by the Health Statistics Division of Statistics Canada. These data are provided to Statistics Canada by the provincial and territorial cancer and vital statistics registrars.

    Release date: 1996-11-18

  • Articles and reports: 12-001-X199600114384
    Description:

    The Lavallée-Hidiroglou (L-H) method of finding stratification boundaries has been used in the Census Bureau’s Annual Capital Expenditures Survey (ACES) to stratify part of its universe in the pilot study and the subsequent preliminary survey. This iterative method minimizes the sample size while fixing the desired reliability level by constructing appropriate boundary points. However, we encountered two problems in our application. One problem was that different starting boundaries resulted in different ending boundaries. The other problem was that the convergence to locally-optimal boundaries was slow, i.e., the number of iterations was large and convergence was not guaranteed. This paper addresses our difficulties with the L-H method and shows how they were resolved so that this procedure would work well for the ACES. In particular, we describe how contour plots were constructed and used to help illustrate how insignificant these problems were once the L-H method was applied. This paper describes revisions made to the L-H method; revisions that made it a practical method of finding stratification boundaries for ACES.

    Release date: 1996-06-14

  • Articles and reports: 12-001-X199600114390
    Description:

    Data are often available only as a set of group or area means. However, it is well known that statistical analysis based on such data will often produce results very different from those obtained from analysing the corresponding individual or household data. If the results of area level analyses are thought to apply to the individual level then we risk committing the ecological fallacy. Aggregation or ecological effects arise in part because geographic areas are not comprised of random groupings of people or households but exhibit strong socio-economic differences between areas. The population structure must be incorporated into the statistical model underpinning the analysis if aggregation effects are to be understood. A simple general model is proposed to achieve this and the consequences of the model and its implications for the estimation of population means and covariance matrices are obtained. Furthermore, methods are suggested which can provide unbiased estimates of individual level parameters from aggregated data and so avoid the ecological fallacy. These methods rely on identifying the “grouping variables” that characterise the process that led to the population structure, or at least characterise the area differences. An estimate of the unit level covariance matrix of the grouping variables is required from some source. Data from the 1991 Census of the United Kingdom have been analysed to identify the important grouping variables and evaluate the effectiveness of the proposed adjustment methods for the estimation of covariance matrices and correlation coefficients. These results lead to a suggested strategy for the analysis of aggregated data.

    Release date: 1996-06-14

  • Articles and reports: 75-001-X19960022890
    Geography: Canada
    Description:

    Contrary to popular belief, the average earnings of men working full year full time seem to decline prior to retirement. This study explores several possible explanations for the unexpected pattern.

    Release date: 1996-06-05

  • Articles and reports: 91-209-X19950009311
    Geography: Province or territory
    Description: The 1990 report compared the situation of the Canadian population with that of the United States, Canada's historical partner in the settlement of North America, showing their similarities and differences and how each has developed over time. Continuing in the same vein, the 1993 report described the Mexican situation in comparison with the population of Canada. It seemed worthwhile to consider why and how Canada's two most densely populated provinces, Quebec and Ontario, are alike and differ.
    Release date: 1996-01-19
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Articles and reports (6)

Articles and reports (6) ((6 results))

  • Articles and reports: 91F0015M1996002
    Geography: Canada
    Description:

    This paper attempts to rescue a small but nonetheless important segment of the Canadian population from neglect, those classified by the census as long-term residents in collective dwellings. In 1991, 440,000 Canadians belonged to this population, living in nursing homes, correctional institutions, rooming houses and the like. The changing age-sex structure of the Canadian population caused their number to increase between 1971 and 1991, despite the fact that Canadian men and women were less likely at most ages to live in collective dwellings in the latter year.

    Non-census data on several segments of this population are reviewed, especially for people in health-related institutions and in correctional facilities, and reveal that long-term residents are in each case a small fraction of a much larger population with a relatively brief contact with the institution on average. This review concludes that non-census data can provide a useful context for the study of the population in collective dwellings, but that the census is at present the only data source providing a comprehensive overview, despite the limited data collected and the even more limited data published.

    Special tabulations from the 1971, 1981 and 1991 censuses are used to explore its changing size and age-sex structure with particular attention to three of its components, people in health-related institutions, in service collective dwellings and in religious institutions. A significant difference between people in collective dwellings and those in private dwellings is that the former have, whether willingly or unwillingly, left the family circle. Hence, marital status is a key variable, and is used to show the close relationship between the changing marital status of the population, in particular the declining numbers of the never married and the growing numbers of separated, widowed or divorced older women, and structural changes.

    Release date: 1996-12-20

  • Articles and reports: 82-003-X19960022829
    Geography: Canada
    Description:

    Breast cancer is the leading form of cancer diagnosed in Canadian women (excluding non-melanoma skin cancer), accounting for about 30% of all new cases. After age 30, incidence rates begin to rise, and the highest rates are among women aged 60 and over. Canadian incidence rates have increased slowly and steadily since 1969, rising most rapidly among women aged 50 and over. Canada's rates are among the highest of any country in the world, ranking second only to those in the United States. After decades of little change, breast cancer mortality rates for all ages combined have declined slightly since 1990. While not dramatic, this decline is statistically significant and is consistent with similar decreases in the United Kingdom, the United States, and Australia. Breast cancer survival rates are relatively more favourable than those of other forms of cancer. Survival rates are better for younger women and for women whose cancer was detected at an early stage. This article presents breast cancer data from the Canadian Cancer Registry, the National Cancer Incidence Reporting System, and vital statistics mortality data, all of which are maintained by the Health Statistics Division of Statistics Canada. These data are provided to Statistics Canada by the provincial and territorial cancer and vital statistics registrars.

    Release date: 1996-11-18

  • Articles and reports: 12-001-X199600114384
    Description:

    The Lavallée-Hidiroglou (L-H) method of finding stratification boundaries has been used in the Census Bureau’s Annual Capital Expenditures Survey (ACES) to stratify part of its universe in the pilot study and the subsequent preliminary survey. This iterative method minimizes the sample size while fixing the desired reliability level by constructing appropriate boundary points. However, we encountered two problems in our application. One problem was that different starting boundaries resulted in different ending boundaries. The other problem was that the convergence to locally-optimal boundaries was slow, i.e., the number of iterations was large and convergence was not guaranteed. This paper addresses our difficulties with the L-H method and shows how they were resolved so that this procedure would work well for the ACES. In particular, we describe how contour plots were constructed and used to help illustrate how insignificant these problems were once the L-H method was applied. This paper describes revisions made to the L-H method; revisions that made it a practical method of finding stratification boundaries for ACES.

    Release date: 1996-06-14

  • Articles and reports: 12-001-X199600114390
    Description:

    Data are often available only as a set of group or area means. However, it is well known that statistical analysis based on such data will often produce results very different from those obtained from analysing the corresponding individual or household data. If the results of area level analyses are thought to apply to the individual level then we risk committing the ecological fallacy. Aggregation or ecological effects arise in part because geographic areas are not comprised of random groupings of people or households but exhibit strong socio-economic differences between areas. The population structure must be incorporated into the statistical model underpinning the analysis if aggregation effects are to be understood. A simple general model is proposed to achieve this and the consequences of the model and its implications for the estimation of population means and covariance matrices are obtained. Furthermore, methods are suggested which can provide unbiased estimates of individual level parameters from aggregated data and so avoid the ecological fallacy. These methods rely on identifying the “grouping variables” that characterise the process that led to the population structure, or at least characterise the area differences. An estimate of the unit level covariance matrix of the grouping variables is required from some source. Data from the 1991 Census of the United Kingdom have been analysed to identify the important grouping variables and evaluate the effectiveness of the proposed adjustment methods for the estimation of covariance matrices and correlation coefficients. These results lead to a suggested strategy for the analysis of aggregated data.

    Release date: 1996-06-14

  • Articles and reports: 75-001-X19960022890
    Geography: Canada
    Description:

    Contrary to popular belief, the average earnings of men working full year full time seem to decline prior to retirement. This study explores several possible explanations for the unexpected pattern.

    Release date: 1996-06-05

  • Articles and reports: 91-209-X19950009311
    Geography: Province or territory
    Description: The 1990 report compared the situation of the Canadian population with that of the United States, Canada's historical partner in the settlement of North America, showing their similarities and differences and how each has developed over time. Continuing in the same vein, the 1993 report described the Mexican situation in comparison with the population of Canada. It seemed worthwhile to consider why and how Canada's two most densely populated provinces, Quebec and Ontario, are alike and differ.
    Release date: 1996-01-19
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