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  • Data Visualization: 71-607-X2019024
    Description: With this interactive tool, users can see the changes in Gross domestic product (GDP) at basic prices over time, at the provincial and territorial levels, using a detailed approach by industry as defined by North American Industry Classification System (NAICS) Canada 2017 version 3.0. GDP by industry at basic prices is a measure of the economic production of Canada’s provinces and territories. The values in the visualization tool are presented as percent change in chained (2017) dollars and by contributions to the percentage change, by selected industries. For more information on this program, please see Gross Domestic Product by Industry - Provincial and Territorial (Annual). As a supplement to the GDP by industry data, please also consult the following visualization product: Provincial and territorial economic accounts: Interactive tool.
    Release date: 2024-05-01

  • Articles and reports: 13-605-X201900100010
    Description:

    This article describes revisions of the Provincial and Territorial Gross Domestic Product (PTGDP) by industry program for the 2015 to 2017 period. These follow the November 8, 2018 release of the estimates for the program for the three reference years.

    Release date: 2019-09-04

  • Articles and reports: 11F0027M2007047
    Geography: Canada
    Description:

    This paper examines the effect of aberrant observations in the Capital, Labour, Energy, Materials and Services (KLEMS) database and a method for dealing with them. The level of disaggregation, data construction and economic shocks all potentially lead to aberrant observations that can influence estimates and inference if care is not exercised. Commonly applied pre-tests, such as the augmented Dickey-Fuller and the Kwaitkowski, Phillips, Schmidt and Shin tests, need to be used with caution in this environment because they are sensitive to unusual data points. Moreover, widely known methods for generating statistical estimates, such as Ordinary Least Squares, may not work well when confronted with aberrant observations. To address this, a robust method for estimating statistical relationships is illustrated.

    Release date: 2007-12-05

  • Journals and periodicals: 15-548-X
    Description:

    This document describes all aspects of output-based Gross Domestic Product (GDP), also known as GDP by industry or simply monthly GDP. It contains a comprehensive record of specific methodologies and data sources, on an industry by industry basis.

    It is meant to complement a previous Statistics Canada publication, released in November 2002, entitled Gross Domestic Product by Industry, Sources and Methods (Catalogue no. 15-547), which discusses in general terms the concepts, definitions, classifications and statistical methods underlying the monthly GDP measures.

    Release date: 2006-02-28

  • Surveys and statistical programs – Documentation: 13F0031M2000004
    Description:

    The changes made in this historical revision elaborate on the changes, over one hundred in all, made in the accounts. This paper updates an earlier report issued in August 1996 in several ways: decisions which did not involve any change in the accounts were pruned out; several new issues were added and many decisions were rewritten.

    Release date: 1998-04-01
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Analysis (3) ((3 results))

  • Articles and reports: 13-605-X201900100010
    Description:

    This article describes revisions of the Provincial and Territorial Gross Domestic Product (PTGDP) by industry program for the 2015 to 2017 period. These follow the November 8, 2018 release of the estimates for the program for the three reference years.

    Release date: 2019-09-04

  • Articles and reports: 11F0027M2007047
    Geography: Canada
    Description:

    This paper examines the effect of aberrant observations in the Capital, Labour, Energy, Materials and Services (KLEMS) database and a method for dealing with them. The level of disaggregation, data construction and economic shocks all potentially lead to aberrant observations that can influence estimates and inference if care is not exercised. Commonly applied pre-tests, such as the augmented Dickey-Fuller and the Kwaitkowski, Phillips, Schmidt and Shin tests, need to be used with caution in this environment because they are sensitive to unusual data points. Moreover, widely known methods for generating statistical estimates, such as Ordinary Least Squares, may not work well when confronted with aberrant observations. To address this, a robust method for estimating statistical relationships is illustrated.

    Release date: 2007-12-05

  • Journals and periodicals: 15-548-X
    Description:

    This document describes all aspects of output-based Gross Domestic Product (GDP), also known as GDP by industry or simply monthly GDP. It contains a comprehensive record of specific methodologies and data sources, on an industry by industry basis.

    It is meant to complement a previous Statistics Canada publication, released in November 2002, entitled Gross Domestic Product by Industry, Sources and Methods (Catalogue no. 15-547), which discusses in general terms the concepts, definitions, classifications and statistical methods underlying the monthly GDP measures.

    Release date: 2006-02-28
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