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  • Articles and reports: 12-001-X20010026095
    Description:

    In this paper, we discuss the application of the bootstrap with a re-imputation step to capture the imputation variance (Shao and Sitter 1996) in stratified multistage sampling. We propose a modified bootstrap that does not require rescaling so that Shao and Sitter's procedure can be applied to the case where random imputation is applied and the first-stage stratum sample sizes are very small. This provides a unified method that works irrespective of the imputation method (random or nonrandom), the stratum size (small or large), the type of estimator (smooth or nonsmooth), or the type of problem (variance estimation or sampling distribution estimation). In addition, we discuss the proper Monte Carlo approximation to the bootstrap variance, when using re-imputation together with resampling methods. In this setting, more care is needed than is typical. Similar results are obtained for the method of balanced repeated replications, which is often used in surveys and can be viewed as an analytic approximation to the bootstrap. Finally, some simulation results are presented to study finite sample properties and various variance estimators for imputed data.

    Release date: 2002-02-28

  • Articles and reports: 12-001-X20010026096
    Description:

    Local polynomial regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed regression methods are put forward to aid in exploratory data analysis for large-scale surveys. The proposed method relies on binning the data on the x-variable and calculating the appropriate survey estimates for the mean of the y-values at each bin. When binning on x has been carried out to the precision of the recorded data, the method is the same as applying the survey weights to the standard criterion for obtaining local polynomial regression estimates. The alternative of using classical polynomial regression is also considered and a criterion is proposed to decide whether the nonparametric approach to modeling should be preferred over the classical approach. Illustrative examples are given from the 1990 Ontario Health Survey.

    Release date: 2002-02-28

  • Articles and reports: 12-001-X20010026097
    Description:

    A compositional time series is defined as a multivariate time series in which each of the series has values bounded between zero and one and the sum of the series equals one at each time point. Data with such characteristics are observed in repeated surveys when a survey variable has a multinomial response but interest lies in the proportion of units classified in each of its categories. In this case, the survey estimates are proportions of a whole subject to a unity-sum constraint. In this paper we employ a state space approach for modelling compositional time series from repeated surveys taking into account the sampling errors. The additive logistic transformation is used in order to guarantee predictions and signal estimates bounded between zero and one which satisfy the unity-sum constraint. The method is applied to compositional data from the Brazilian Labour Force Survey. Estimates of the vector of proportions and the unemployment rate are obtained. In addition, the structural components of the signal vector, such as the seasonals and the trends, are produced.

    Release date: 2002-02-28

  • Articles and reports: 12-001-X20010029567
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2002-02-28

  • Articles and reports: 11F0019M2002187
    Geography: Canada
    Description:

    Using data from the Assets and Debts Survey of 1984 and the Survey of Financial Security of 1999, we document the evolution of wealth inequality in Canada between 1984 and 1999. Our main findings are as follows: 1) wealth inequality has increased between 1984 and 1999, 2) the growth in wealth inequality has been associated with substantial declines in real average and median wealth for young couples with children and recent immigrants, 3) real median wealth and real average wealth rose much more among family units whose major income recipient is a university graduate than among other family units, 4) real median and average wealth fell among family units whose major income recipient is aged 25-34 and increased among those whose major income recipient is aged 55 and over, 5) the aging of the Canadian population over the 1984-1999 period has tended to reduce wealth inequality, 6) diverging changes in permanent income do not explain a substantial portion of the growing gap between low-wealth and high-wealth family units. Factors that may have contributed to rising wealth inequality - which cannot be quantified with existing data sets - include differences in the growth of inheritances, inter vivos transfers, rates of return on savings and number of years worked full-time. In particular, rates of return on savings may have increased more for wealthy family units than for their poorer counterparts as a result of the booming stock market during the 1990s.

    Release date: 2002-02-22

  • Articles and reports: 88-003-X20020016146
    Geography: Canada
    Description:

    This, the first issue of 2002 presents an opportunity to recapitulate some of the findings that we have reported during the life of the Bulletin. In an interview, Dr. Fred Gault, Director of Statistics Canada's Science, Innovation and Electronic Information Division, discusses some of the findings on innovation, e-commerce, emerging technologies, Internet use, the telecommunications industry, R&D and commercialization.

    Release date: 2002-02-15

  • Articles and reports: 88-003-X20020016147
    Geography: Canada
    Description:

    Canadian manufacturing firms fall into two groups: The first uses patents and trademarks as a part of successful innovation strategy consisting of regular R&D financed by R&D grants and tax credits introducing world-first innovations. These are usually large firms in the technology-intensive core sector. The second group includes firms of all sizes in all sectors that rely mostly on trade secrets. They typically transfer technology from abroad by introducing Canada-first innovations and rely on government information services more than on R&D grants and tax credits.

    Release date: 2002-02-15

  • Articles and reports: 88-003-X20020016148
    Geography: Canada
    Description:

    In September 2000, a small international group met to develop a survey on knowledge management. Creating the pilot questionnaire required a cooperative effort on behalf of survey taking experts, knowledge management specialists and policy analysts. Bringing together a preliminary questionnaire that met the basic requirements of a group of dynamic and outspoken experts, each with individual and collective objectives was not a simple task.

    Release date: 2002-02-15

  • Articles and reports: 88-003-X20020016149
    Geography: Canada
    Description:

    According to the report Profile of Spin-off Firms in the Biotechnology Sector, three out of every 10 companies in Canada's rapidly expanding biotechnology sector in 1999 were spin-offs. These firms, which range from corporate spin-offs to biotechnology companies created by universities and research hospitals, accounted for more than one-quarter of total revenues in 1999.

    Release date: 2002-02-15

  • 290. Time to skill Archived
    Articles and reports: 88-003-X20020016150
    Geography: Canada
    Description:

    Given that science and technology skills are a high priority for maintaining Canada's competitive advantage in the new economy, the obvious question is: Where do S&T skills come from and how does Canada compare with other countries? Read the findings from a recent Statistics Canada study that examines the ins and outs of the science stream, starting in Grade 4 through to the workforce.

    Release date: 2002-02-15
Reference (56)

Reference (56) (40 to 50 of 56 results)

  • Geographic files and documentation: 92F0146G
    Description:

    The Dissemination Area Reference Maps Reference Guide is available for the following products:- Dissemination Area Reference Maps, by Census Tract, for Census Metropolitan Areas and Census Agglomerations, 2001 Census (Catalogue Nos. 92F0146XIB, 92F0146XCB and 92F0146XPB)- Dissemination Area Reference Maps, by Non-tracted Census Agglomeration, 2001 Census (Catalogue Nos. 92F0147XIB, 92F0147XCB and 92F0147XPB)- Dissemination Area Reference Maps, by Census Division, for Areas Outside Census Metropolitan Areas and Census Agglomerations, 2001 Census (Catalogue Nos. 92F0148XIB, 92F0148XCB and 92F0148XPB). The Reference Guide describes the content and applications of these products, as well as data quality, record layouts, and other information.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0146X
    Description:

    The set of Dissemination Area Reference Maps by Census Tract covers all 27 census metropolitan areas (CMAs) and the 19 census agglomerations (CAs) that are part of the census tract program. Each map in the set covers one census tract (CT) and shows the boundaries and codes of dissemination areas within that CT. The maps also show census tract, census subdivision, and census metropolitan area or census agglomeration boundaries on a background of detailed street networks and other visible features such as rivers, lakes and railroad tracks.There are 6,157 maps in this set - generally one map per census tract. The dimensions of each map are approximately 27 cm by 43 cm (11 inches by 17 inches). Map scales vary according to the size of the census tract; thus the maps cannot be cut and pasted together. In cases where there is too much detail to show on one map, the census tract may be split into two or four maps. Clients are not charged for the extra maps resulting from the CT split. A reference guide is available (Catalogue No. 92F0146GIE).Dissemination area reference maps are also available for smaller urban centres, that is, non-tracted census agglomerations (92F0147XCB, 92F0147XIB, 92F0147XPB), and by census division for areas outside census metropolitan areas and census agglomerations (92F0148XCB, 92F0148XIB, 92F0148XPB). Together, the three sets of dissemination area maps cover all of Canada.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0147X
    Description:

    The set of Dissemination Area Reference Maps by Non-tracted Census Agglomeration covers the smaller census agglomerations that are not part of the census tract program. Each map in the set covers one census agglomeration (CA) and shows the boundaries and codes of dissemination areas within that CA. The maps also show the boundaries of census subdivisions (municipalities), as well as urban areas, and representative points for designated places. The maps include background information such as rivers, lakes, railroad tracks and provincial boundaries, and other significant features.There are 173 maps in this set - between one and four maps per census agglomeration.. Some maps include insets to show detail for the congested areas. These insets appear on the main map where possible, but in some cases it appears on a second map sheet. The maps vary in scale and size, the maximum dimensions being approximately 91 cm by 101 cm (36 inches by 40 inches). A reference guide is available (Catalogue No. 92F0146GIE).Dissemination area reference maps are also available for census tract for large urban centres, that is, census metropolitan areas and census agglomerations (92F0146XCB, 92F0146XIB, 92F0146XPB), and by census division for areas outside census metropolitan areas and census agglomerations (92F0148XCB, 92F0148XIB, 92F0148XPB). Together, the three sets of dissemination area maps cover all of Canada.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0148X
    Description:

    The set of Dissemination Area Reference Maps covers areas outside census metropolitan areas (CMAs) and census agglomerations (CAs). Each map in the set covers one census division (CD) and shows the boundaries and codes of dissemination areas within that CD. The maps also show the boundaries of census subdivisions, census metropolitan areas and census agglomerations, as well as urban areas and representative points for designated places. The maps include background information such as rivers, lakes, railroad tracks and provincial boundaries, and other significant features.There are approximately 600 maps in this set - generally two maps per census division. Some maps include insets to show detail for the congested areas. These insets appear on the main map where possible, but in some cases they appear on a second map sheet. The maps vary in scale and size; the maximum dimensions are approximately 91 cm by 101 cm (36 inches by 40 inches). A reference guide is available (Catalogue No. 92F0146GIE).Dissemination area reference maps are also available by census tract for larger urban centres, that is, census metropolitaan areas and census agglomerations (92F0146XCB, 92F0146XIB, 92F0146XPB), and by small urban centres, that is, non-tracted census agglomarations (92F0147XCB, 92F0147XIB, 92F0147XPB). Together, the three sets of dissemination area maps cover all of Canada.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0149G
    Description:

    The Census Division and Census Subdivision Reference Maps Reference Guide is available for the following products: Census Division and Census Subdivision Reference Maps, by Province or Territory, 2001 Census (Catalogue Nos. 92F0149XIB, 92F0149XCB and 92F0149XPB). The Reference Guide describes the content and applications of these products, as well as data quality, record layouts, and other information.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0149X
    Geography: Province or territory
    Description:

    The set of Census Division and Census Subdivision Reference Maps covers all of Canada, by province and territory. The maps show the boundaries, names and codes of census divisions (such as counties and regional districts) and census subdivisions (such as cities, towns, villages, other local municipal entities, townships and Indian reserves). The maps also show the boundaries of census metropolitan areas and census agglomerations. There are 22 maps in the set: one map covers each province or territory, except for Ontario, Manitoba, Saskatchewan and Alberta where two maps cover each province, British Columbia where three maps cover the province, and Quebec where four maps cover the province. The maps vary in scale (ranging from 1:310,000 to 1:3,500,000) and size, the maximum dimensions being approximately 145 cm by 99 cm (57 inches by 39 inches). The maps have the same general look as in 1996. A reference guide is available (Catalogue No. 92F0149GIE). The complete set of CD/CSD maps is available in the Standard Geographical Classification Manual, Volume II (Catalogue No. 12-572-XPB). This publication also includes three maps of Canada at the 1:10,000,000 scale, one showing census divisions, one showing economic regions and census divisions, and one showing point locations of census metropolitan areas and census agglomerations.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0150G
    Description:

    GeoSuite is a tool for data retrieval, query, and tabular output, with software. GeoSuite allows users to explore the links between all standard levels of geography and to determine geographic codes, names, and population and dwelling counts. GeoSuite includes a dissemination area (DA) reference map listing that facilitates the identification of appropriate DA reference maps.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0152X
    Description:

    This national map shows the boundaries, names and codes of federal electoral districts (FEDs) according to the 1996 Representation Order, on a background of major lakes and rivers. Insets show more detail for the congested areas on the map. The FED map was produced by Natural Resources Canada for Elections Canada. The dimensions of this map are approximately 28 cm by 79 cm (11 inches by 31 inches).

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0157G
    Description:

    The Road Network Files Reference Guide is available for the following product: Road Network Files (RNFs) (Catalogue No. 92F0157XCE). The Reference Guide describes the content and applications of the product, as well as data quality, record layouts, and other information.

    Release date: 2002-03-12

  • Geographic files and documentation: 92F0158G
    Description:

    The Skeletal Road Network File Reference Guide is available for the following product: Skeletal Road Network File (SRNF) (Catalogue No. 92F0158XCE). The Reference Guide describes the content and applications of the product, as well as data quality, record layouts, and other information.

    Release date: 2002-03-12
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