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  • Stats in brief: 11-001-X20200483496
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-02-17

  • Stats in brief: 11-001-X202004322583
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-02-12

  • Articles and reports: 11F0019M2020005
    Description:

    Understanding intangible investments is essential for providing accurate measures of gross fixed capital formation (GFCF), gross domestic product (GDP) and productivity growth, and for understanding the innovation system. Statistical agencies need measures of intangible investment to produce economic statistics on aggregate activity that accurately measure concepts such as GDP, GFCF or savings. The levels of GDP, GFCF and savings will be underestimated to the extent that expenditures are incorrectly classified as intermediate inputs that are fully consumed during the period being measured—and not as investments that are not fully consumed during the period when the expenditures are incurred. Estimates for GDP and productivity growth rates may be similarly underestimated. This paper updates and expands upon the intangible capital estimates presented by Baldwin et al. (2009), who extended already measured intangibles (i.e., research and development [R&D], software, mineral exploration) to include additional asset classes consistent with international research on intangible capital measurement (see Corrado, Hulten and Sichel 2009).

    Release date: 2020-02-12

  • Stats in brief: 11-001-X20200313569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-31

  • Stats in brief: 11-001-X202001716361
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-17

  • Stats in brief: 11-001-X202001721943
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-17

  • Articles and reports: 11F0019M2020001
    Description:

    Multifactor productivity (MFP) declined in Canada from 2000 to 2009 and then recovered after. The movements in productivity since 2000 have attracted great attention from researchers and policy makers because productivity is important both for economic growth and for improvements in living standards. This paper applies the stochastic frontier framework to decompose each firm’s MFP into two parts: its technological frontier and its technical efficiency. Change in the aggregate technological frontier refers to improvements in the productivity potential of an economy, i.e., the maximum productivity of an economy if all firms are fully efficient. Aggregate technical efficiency reflects the economy’s capacity to achieve that potential. The results of this decomposition can show whether the movements in productivity after 2000 in Canada were mainly the result of changes in the technological frontier and productivity potential or of changes in the technical efficiency.

    Release date: 2020-01-17

  • Articles and reports: 11F0019M2020002
    Description:

    Labour productivity growth in the business sector in Canada started to decline in 2000, from 2.3% per year in the period from 1991 to 2000 to 1.0% per year in the period from 2000 to 2015. This paper examines how innovation, innovation diffusion across firms, and business dynamism affected the productivity slowdown.

    Release date: 2020-01-17

  • Journals and periodicals: 11-631-X
    Description:

    Statistics Canada engages regularly with Canadians to discuss statistical findings about the country’s economy, society and environment. Events are held in various cities throughout the year to discuss the use of statistics in many fields. These events provide Statistics Canada with an opportunity to promote the role of official statistics and better understand data users’ needs.

    This series provides online access to the presentations that were made at outreach events with data users.

    Release date: 2020-01-16

  • Stats in brief: 11-001-X20200093389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-09
Reference (176)

Reference (176) (0 to 10 of 176 results)

  • Notices and consultations: 13-605-X
    Description:

    This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.

    Release date: 2019-12-23

  • Surveys and statistical programs – Documentation: 15-602-X
    Description:

    With the 2015 comprehensive revision, the Canadian System of Macroeconomic Accounts (CSMA) has introduced a major presentational change to the national and the provincial and territorial input-output tables. The previous CSMA input-output presentation differed from the international standard and the practice found in most national statistical organizations. The CSMA has aligned its presentation with the international standard and replaces the presentation found in catalogues 15F0041X and 15F0042X, as well as 15F0002X.

    Release date: 2019-11-07

  • Notices and consultations: 13-605-X201900100007
    Description:

    This article describes the upcoming revisions (November 2019) in the Canadian Macroeconomic Accounts resulting from the inclusion of illegal cannabis production, consumption and distribution as well as statistical revisions of the international travel services. The paper highlights the impact of these revisions on Gross Domestic Product (GDP) and the balance of international payments (BOP).

    Release date: 2019-05-30

  • Surveys and statistical programs – Documentation: 11-633-X2019001
    Description:

    The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

    Release date: 2019-05-29

  • Surveys and statistical programs – Documentation: 15F0004X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The national IO model was not released in 2015 or 2016.

    Release date: 2019-04-04

  • Surveys and statistical programs – Documentation: 15F0009X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The interprovincial IO model was not released in 2015 or 2016.

    Release date: 2019-04-04

  • Surveys and statistical programs – Documentation: 13-606-G
    Description: This guide provides a detailed explanation of the structure, concepts and history of Canada’s System of Macroeconomic Accounts.
    Release date: 2018-06-22

  • Surveys and statistical programs – Documentation: 13-606-G201600114624
    Description:

    An explanation of the structure and concepts of Canada’s new government financial statistics-based public sector accounts.

    Release date: 2018-06-22

  • Surveys and statistical programs – Documentation: 15F0046X
    Description:

    The input-output multipliers are derived from the supply and use tables. They are used to assess the effects on the economy of an exogenous change in final demand for the output of a given industry. They provide a measure of the interdependence between an industry and the rest of the economy.

    The national and provincial multipliers show the direct, indirect, and induced effects on gross output, the detailed components of GDP, jobs, and imports. Like the supply and use tables, the multipliers are presented at four levels of aggregation: Detail level (236 industries), Link-1997 level (187 industries), Link-1961 level (111 industries) and Summary level (35 industries).

    Release date: 2018-04-03

  • Surveys and statistical programs – Documentation: 13-605-X201700114839
    Description:

    Users of macroeconomic statistics require long time series in order to understand economic cycles, forecast and conduct economic modeling. In general the longer the time series the better users are able to understand the economy. Statistics Canada has been producing macroeconomic account statistics since the 1930s. Over the last 80 plus years these statistics have evolved due to the changing nature of the economy, the development of international macroeconomic accounting standards and the development of new statistical methods and processes.

    Release date: 2017-08-31

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