Data analysis

Skip to filters. View results.
View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Type

2 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (3)

All (3) ((3 results))

  • 1. Producing Hours Worked for the SNA in Order to Measure Productivity: The Canadian Experience Archived
    Surveys and statistical programs – Documentation: 15-206-X2006004
    Description:

    This paper provides a brief description of the methodology currently used to produce the annual volume of hours worked consistent with the System of National Accounts (SNA). These data are used for labour input in the annual and quarterly measures of labour productivity, as well as in the annual measures of multifactor productivity. For this purpose, hours worked are broken down by educational level and age group, so that changes in the composition of the labour force can be taken into account. They are also used to calculate hourly compensation and the unit labour cost and for simulations of the SNA Input-Output Model; as such, they are integrated as labour force inputs into most SNA satellite accounts (i.e., environment, tourism).

    Release date: 2006-10-27
  • 2. Bayesian analysis of nonignorable missing categorical data: An application to bone mineral density and family income Archived
    Articles and reports: 12-001-X20050029048
    Description:

    We consider a problem in which an analysis is needed for categorical data from a single two-way table with partial classification (i.e., both item and unit nonresponses). We assume that this is the only information available. A Bayesian methodology permits modeling different patterns of missingness under ignorability and nonignorability assumptions. We construct a nonignorable nonresponse model which is obtained from the ignorable nonresponse model via a model expansion using a data-dependent prior; the nonignorable nonresponse model robustifies the ignorable nonresponse model. A multinomial-Dirichlet model, adjusted for the nonresponse, is used to estimate the cell probabilities, and a Bayes factor is used to test for association. We illustrate our methodology using data on bone mineral density and family income. A sensitivity analysis is used to assess the effects of the data-dependent prior. The ignorable and nonignorable nonresponse models are compared using a simulation study, and there are subtle differences between these models.

    Release date: 2006-02-17
  • 3. On the correlation structure of sample units Archived
    Articles and reports: 12-001-X20050029050
    Description:

    In this paper we make explicit some distributional properties of sample units, not usually found in the literature; in particular, their correlation structure and the fact that it does not depend on arbitrarily assigned population indices. Such properties are relevant to a number of estimation procedures, whose efficiency would benefit from making explicit reference to them.

    Release date: 2006-02-17
Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (2)

Analysis (2) ((2 results))

  • 1. Bayesian analysis of nonignorable missing categorical data: An application to bone mineral density and family income Archived
    Articles and reports: 12-001-X20050029048
    Description:

    We consider a problem in which an analysis is needed for categorical data from a single two-way table with partial classification (i.e., both item and unit nonresponses). We assume that this is the only information available. A Bayesian methodology permits modeling different patterns of missingness under ignorability and nonignorability assumptions. We construct a nonignorable nonresponse model which is obtained from the ignorable nonresponse model via a model expansion using a data-dependent prior; the nonignorable nonresponse model robustifies the ignorable nonresponse model. A multinomial-Dirichlet model, adjusted for the nonresponse, is used to estimate the cell probabilities, and a Bayes factor is used to test for association. We illustrate our methodology using data on bone mineral density and family income. A sensitivity analysis is used to assess the effects of the data-dependent prior. The ignorable and nonignorable nonresponse models are compared using a simulation study, and there are subtle differences between these models.

    Release date: 2006-02-17
  • 2. On the correlation structure of sample units Archived
    Articles and reports: 12-001-X20050029050
    Description:

    In this paper we make explicit some distributional properties of sample units, not usually found in the literature; in particular, their correlation structure and the fact that it does not depend on arbitrarily assigned population indices. Such properties are relevant to a number of estimation procedures, whose efficiency would benefit from making explicit reference to them.

    Release date: 2006-02-17
Reference (1)

Reference (1) ((1 result))

  • 1. Producing Hours Worked for the SNA in Order to Measure Productivity: The Canadian Experience Archived
    Surveys and statistical programs – Documentation: 15-206-X2006004
    Description:

    This paper provides a brief description of the methodology currently used to produce the annual volume of hours worked consistent with the System of National Accounts (SNA). These data are used for labour input in the annual and quarterly measures of labour productivity, as well as in the annual measures of multifactor productivity. For this purpose, hours worked are broken down by educational level and age group, so that changes in the composition of the labour force can be taken into account. They are also used to calculate hourly compensation and the unit labour cost and for simulations of the SNA Input-Output Model; as such, they are integrated as labour force inputs into most SNA satellite accounts (i.e., environment, tourism).

    Release date: 2006-10-27
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.