Analysis

Skip to filters. View results.
View results

Filter results by

Search Help
Currently selected filters that can be removed
Remove Remove "Science and technology" filterRemove Remove "K" filter
Clear all

Keyword(s)

Subject

Year of publication

5 facets displayed. 0 facets selected.

Author(s)

5 facets displayed. 1 facets selected.

Survey or statistical program

2 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (5)

All (5) ((5 results))

  • 1. Imputation for nonmonotone nonresponse in the survey of industrial research and development Archived
    Articles and reports: 12-001-X201200211753
    Description:

    Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

    Release date: 2012-12-19
  • 2. Results from Statistics Canada's Bioproducts Production and Development Survey 2009 Archived
    Articles and reports: 88F0006X2011001
    Description:

    This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2011-12-23
  • 3. Results from the Functional Foods and Natural Health Products Survey - 2007 Archived
    Articles and reports: 88F0006X2009001
    Description:

    This working paper profiles Canadian firms involved in the development, production and distribution of functional foods and/or natural health products (FFNHP). It provides data on the number and types of FFNHP firms in 2007, covering FFNHP revenues, Research and Development, patents, products, business practices and the impact of government regulation on the sector.

    Release date: 2009-07-27
  • 4. Trends in the technology intensity of Canadian exports: A comparison with other countries (III-G) Archived
    Stats in brief: 11F0024M20050008661
    Description:

    Canada has reached its innovation-driven stage of development where the country's global competitiveness is critically linked to its ability to rapidly shift to new innovative technologies and to generate high rates of innovation and commercialization of those technologies. The country has made significant progress in terms of the growth of high- and medium-high technology-intensive exports in the last few decades. The share of high- and medium-high-technology manufacturing industries' products in our total exports has increased from 32.1% in 1980 to 44% in 2002, while our dependence on low- and medium-low technology products has shrunk from 48.0% of total exports in 1980 to 41% in 2002. This paper utilizes Statistics Canada data for the period 1980-2003 to examine trends in the technology intensity of Canada's exports. Trends in the revealed comparative advantage as well as the structural trade balance for technology-intensive goods are also examined. The analyses in the paper show that Canada has made some gains in its relative competitive position in the world trade of high- and medium-high technology goods.

    Release date: 2005-10-20
  • 5. Community innovation: Industrial specialization in Canadian cities Archived
    Stats in brief: 88-003-X20040026934
    Geography: Canada
    Description:

    This paper provides an index of specialization for Canada's 50 largest communities including analysis comparing changes in specialization in selected high technology industries with changes in employment in these communities.

    Release date: 2004-06-30
Stats in brief (2)

Stats in brief (2) ((2 results))

  • 1. Trends in the technology intensity of Canadian exports: A comparison with other countries (III-G) Archived
    Stats in brief: 11F0024M20050008661
    Description:

    Canada has reached its innovation-driven stage of development where the country's global competitiveness is critically linked to its ability to rapidly shift to new innovative technologies and to generate high rates of innovation and commercialization of those technologies. The country has made significant progress in terms of the growth of high- and medium-high technology-intensive exports in the last few decades. The share of high- and medium-high-technology manufacturing industries' products in our total exports has increased from 32.1% in 1980 to 44% in 2002, while our dependence on low- and medium-low technology products has shrunk from 48.0% of total exports in 1980 to 41% in 2002. This paper utilizes Statistics Canada data for the period 1980-2003 to examine trends in the technology intensity of Canada's exports. Trends in the revealed comparative advantage as well as the structural trade balance for technology-intensive goods are also examined. The analyses in the paper show that Canada has made some gains in its relative competitive position in the world trade of high- and medium-high technology goods.

    Release date: 2005-10-20
  • 2. Community innovation: Industrial specialization in Canadian cities Archived
    Stats in brief: 88-003-X20040026934
    Geography: Canada
    Description:

    This paper provides an index of specialization for Canada's 50 largest communities including analysis comparing changes in specialization in selected high technology industries with changes in employment in these communities.

    Release date: 2004-06-30
Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Imputation for nonmonotone nonresponse in the survey of industrial research and development Archived
    Articles and reports: 12-001-X201200211753
    Description:

    Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

    Release date: 2012-12-19
  • 2. Results from Statistics Canada's Bioproducts Production and Development Survey 2009 Archived
    Articles and reports: 88F0006X2011001
    Description:

    This working paper profiles Canadian firms involved in the development and production of Bioproducts. It provides data on the number and types of Bioproducts firms in 2009, covering bioproducts revenues, research and development, use of biomass, patents, products, business practices and the impact of government regulations on the sector.

    Release date: 2011-12-23
  • 3. Results from the Functional Foods and Natural Health Products Survey - 2007 Archived
    Articles and reports: 88F0006X2009001
    Description:

    This working paper profiles Canadian firms involved in the development, production and distribution of functional foods and/or natural health products (FFNHP). It provides data on the number and types of FFNHP firms in 2007, covering FFNHP revenues, Research and Development, patents, products, business practices and the impact of government regulation on the sector.

    Release date: 2009-07-27
Journals and periodicals (0)

Journals and periodicals (0) (0 results)

No content available at this time.

Report a problem or mistake on this page
Date modified:

Search help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Sort help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.