Keyword search

Sort Help
entries

Results

All (11)

All (11) (0 to 10 of 11 results)

  • Table: 81-590-X2004001
    Geography: Canada
    Description:

    The Program for International Student Assessment (PISA) is a collaborative effort among member countries of the OECD, designed to assess, on a regular basis, the achievement of 15-year-olds in reading, mathematical and scientific literacy through a common international test.

    This report provides results from the PISA 2003 assessment of student performance in mathematics, reading, science and problem solving at the provincial level, and compares the achievement of Canadian students to that of students internationally. PISA 2003 has a special focus on mathematical literacy.

    Forty-one countries participated in PISA 2003, including all 30 OECD countries and 11 non-OECD countries. About 28,000 15-year-olds from more than 1,000 schools took part in Canada.

    Release date: 2004-12-20

  • Articles and reports: 81-004-X20040057736
    Description:

    This article summarizes the results of the 2003 Programme for International Assessment, providing international comparisons of student performance in mathematics, reading, science and problem-solving.

    Release date: 2004-12-14

  • Articles and reports: 88F0006X2004019
    Description:

    This publication is an explanation of the estimation procedures used to calculate 2002-2003 research and development (R&D) expenditures in the higher education sector. This estimation procedure was revised in 2000 as R&D activities in the higher education sector have increased in importance to policy developers, major funders of these activities, and also to the performing institutions themselves. In 2002-2003 the R&D expenditures for higher education were estimated to total $7.4 billion, an increase of 16% over 2001-2002 revised estimates.

    Release date: 2004-11-23

  • Articles and reports: 81-004-X20040047423
    Description:

    This article reviews the evidence on the existence of a gender gap in these education indicators: literacy test results, high school drop-out rates and the proportion of each sex enrolled in full-time undergraduate studies.

    Release date: 2004-10-29

  • Articles and reports: 11F0019M2004233
    Geography: Canada
    Description:

    In Canada's federal system for economic (skilled) class immigrant selection, education is treated as if it is homogeneous and only differs in quantity. Some provinces, however, differentiate based on postsecondary field of study. This study explores the economic implications of field of study for each sex, and for two subgroups of immigrants, those educated in Canada and those educated elsewhere .

    Field of study is not observed to explain much of the earnings difference between immigrants and the Canadian born, though it is relatively more important for males than females in doing so. Interestingly, while there are a few exceptions, a general pattern is observed whereby the differences between high- and low-earning fields are not as large for immigrants as for the Canadian born. Similarly, social assistance receipt has smaller variance across fields for immigrants than for the Canadian born. Nevertheless, substantial inter-field differences are observed for each immigrant group.

    Release date: 2004-10-28

  • Articles and reports: 11F0019M2004232
    Geography: Canada
    Description:

    This study extends previous work on the evolution of the education premium, and investigates the existence of diverging university/high school earnings ratio trends across industries in the knowledge-based economy. The study also discusses the changing demand for high-skilled workers by comparing relative wages of university graduates holding degrees in "applied" fields to those of other university graduates (the "field" premium).

    Release date: 2004-09-29

  • Articles and reports: 75-001-X200410613121
    Geography: Canada
    Description:

    This paper examines the problems new immigrants have when looking for a job in Canada, including non-recognition of their credentials, their education level, and their experience abroad.

    Release date: 2004-09-21

  • Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13

  • Articles and reports: 12-001-X20040016991
    Description:

    In survey sampling, Taylor linearization is often used to obtain variance estimators for calibration estimators of totals and nonlinear finite population (or census) parameters, such as ratios, regression and correlation coefficients, which can be expressed as smooth functions of totals. Taylor linearization is generally applicable to any sampling design, but it can lead to multiple variance estimators that are asymptotically design unbiased under repeated sampling. The choice among the variance estimators requires other considerations such as (i) approximate unbiasedness for the model variance of the estimator under an assumed model, (ii) validity under a conditional repeated sampling framework. In this paper, a new approach to deriving Taylor linearization variance estimators is proposed. It leads directly to a variance estimator which satisfies the above considerations at least in a number of important cases. The method is applied to a variety of problems, covering estimators of a total as well as other estimators defined either explicitly or implicitly as solutions of estimating equations. In particular, estimators of logistic regression parameters with calibration weights are studied. It leads to a new variance estimator for a general class of calibration estimators that includes generalized raking ratio and generalized regression estimators. The proposed method is extended to two-phase sampling to obtain a variance estimator that makes fuller use of the first phase sample data compared to traditional linearization variance estimators.

    Release date: 2004-07-14

  • Articles and reports: 12-001-X20040016996
    Description:

    This article studies the use of the sample distribution for the prediction of finite population totals under single-stage sampling. The proposed predictors employ the sample values of the target study variable, the sampling weights of the sample units and possibly known population values of auxiliary variables. The prediction problem is solved by estimating the expectation of the study values for units outside the sample as a function of the corresponding expectation under the sample distribution and the sampling weights. The prediction mean square error is estimated by a combination of an inverse sampling procedure and a re-sampling method. An interesting outcome of the present analysis is that several familiar estimators in common use are shown to be special cases of the proposed approach, thus providing them a new interpretation. The performance of the new and some old predictors in common use is evaluated and compared by a Monte Carlo simulation study using a real data set.

    Release date: 2004-07-14
Data (1)

Data (1) ((1 result))

  • Table: 81-590-X2004001
    Geography: Canada
    Description:

    The Program for International Student Assessment (PISA) is a collaborative effort among member countries of the OECD, designed to assess, on a regular basis, the achievement of 15-year-olds in reading, mathematical and scientific literacy through a common international test.

    This report provides results from the PISA 2003 assessment of student performance in mathematics, reading, science and problem solving at the provincial level, and compares the achievement of Canadian students to that of students internationally. PISA 2003 has a special focus on mathematical literacy.

    Forty-one countries participated in PISA 2003, including all 30 OECD countries and 11 non-OECD countries. About 28,000 15-year-olds from more than 1,000 schools took part in Canada.

    Release date: 2004-12-20
Analysis (10)

Analysis (10) ((10 results))

  • Articles and reports: 81-004-X20040057736
    Description:

    This article summarizes the results of the 2003 Programme for International Assessment, providing international comparisons of student performance in mathematics, reading, science and problem-solving.

    Release date: 2004-12-14

  • Articles and reports: 88F0006X2004019
    Description:

    This publication is an explanation of the estimation procedures used to calculate 2002-2003 research and development (R&D) expenditures in the higher education sector. This estimation procedure was revised in 2000 as R&D activities in the higher education sector have increased in importance to policy developers, major funders of these activities, and also to the performing institutions themselves. In 2002-2003 the R&D expenditures for higher education were estimated to total $7.4 billion, an increase of 16% over 2001-2002 revised estimates.

    Release date: 2004-11-23

  • Articles and reports: 81-004-X20040047423
    Description:

    This article reviews the evidence on the existence of a gender gap in these education indicators: literacy test results, high school drop-out rates and the proportion of each sex enrolled in full-time undergraduate studies.

    Release date: 2004-10-29

  • Articles and reports: 11F0019M2004233
    Geography: Canada
    Description:

    In Canada's federal system for economic (skilled) class immigrant selection, education is treated as if it is homogeneous and only differs in quantity. Some provinces, however, differentiate based on postsecondary field of study. This study explores the economic implications of field of study for each sex, and for two subgroups of immigrants, those educated in Canada and those educated elsewhere .

    Field of study is not observed to explain much of the earnings difference between immigrants and the Canadian born, though it is relatively more important for males than females in doing so. Interestingly, while there are a few exceptions, a general pattern is observed whereby the differences between high- and low-earning fields are not as large for immigrants as for the Canadian born. Similarly, social assistance receipt has smaller variance across fields for immigrants than for the Canadian born. Nevertheless, substantial inter-field differences are observed for each immigrant group.

    Release date: 2004-10-28

  • Articles and reports: 11F0019M2004232
    Geography: Canada
    Description:

    This study extends previous work on the evolution of the education premium, and investigates the existence of diverging university/high school earnings ratio trends across industries in the knowledge-based economy. The study also discusses the changing demand for high-skilled workers by comparing relative wages of university graduates holding degrees in "applied" fields to those of other university graduates (the "field" premium).

    Release date: 2004-09-29

  • Articles and reports: 75-001-X200410613121
    Geography: Canada
    Description:

    This paper examines the problems new immigrants have when looking for a job in Canada, including non-recognition of their credentials, their education level, and their experience abroad.

    Release date: 2004-09-21

  • Articles and reports: 11-522-X20020016740
    Geography: Province or territory
    Description:

    Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

    Release date: 2004-09-13

  • Articles and reports: 12-001-X20040016991
    Description:

    In survey sampling, Taylor linearization is often used to obtain variance estimators for calibration estimators of totals and nonlinear finite population (or census) parameters, such as ratios, regression and correlation coefficients, which can be expressed as smooth functions of totals. Taylor linearization is generally applicable to any sampling design, but it can lead to multiple variance estimators that are asymptotically design unbiased under repeated sampling. The choice among the variance estimators requires other considerations such as (i) approximate unbiasedness for the model variance of the estimator under an assumed model, (ii) validity under a conditional repeated sampling framework. In this paper, a new approach to deriving Taylor linearization variance estimators is proposed. It leads directly to a variance estimator which satisfies the above considerations at least in a number of important cases. The method is applied to a variety of problems, covering estimators of a total as well as other estimators defined either explicitly or implicitly as solutions of estimating equations. In particular, estimators of logistic regression parameters with calibration weights are studied. It leads to a new variance estimator for a general class of calibration estimators that includes generalized raking ratio and generalized regression estimators. The proposed method is extended to two-phase sampling to obtain a variance estimator that makes fuller use of the first phase sample data compared to traditional linearization variance estimators.

    Release date: 2004-07-14

  • Articles and reports: 12-001-X20040016996
    Description:

    This article studies the use of the sample distribution for the prediction of finite population totals under single-stage sampling. The proposed predictors employ the sample values of the target study variable, the sampling weights of the sample units and possibly known population values of auxiliary variables. The prediction problem is solved by estimating the expectation of the study values for units outside the sample as a function of the corresponding expectation under the sample distribution and the sampling weights. The prediction mean square error is estimated by a combination of an inverse sampling procedure and a re-sampling method. An interesting outcome of the present analysis is that several familiar estimators in common use are shown to be special cases of the proposed approach, thus providing them a new interpretation. The performance of the new and some old predictors in common use is evaluated and compared by a Monte Carlo simulation study using a real data set.

    Release date: 2004-07-14

  • 10. Literacy counts Archived
    Articles and reports: 81-004-X20040016853
    Description:

    A key indicator of educational progress is the extent to which schools are successful in equipping their students with strong literacy skills. Do educational systems that have the highest average literacy scores also tend to have the smallest gaps in achievement between high-scoring and low-scoring students?

    Release date: 2004-04-30
Reference (0)

Reference (0) (0 results)

No content available at this time.

Date modified: