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All (27) (0 to 10 of 27 results)

  • 1. Earnings and payroll employment in brief: Interactive app
    Data Visualization: 14-20-00012019001
    Description: This interactive visualization application provides a comprehensive picture of the Canadian labour market using the most recent data from the Survey of Employment, Payrolls and Hours (SEPH). The estimates are seasonally adjusted and available by province and largest industrial sector. Historical estimates, going back 10 years, are also included. The interactive application allows users to quickly and easily explore and personalize the information presented. Combine multiple provinces and industrial sectors to create your own labour market domains of interest.
    Release date: 2024-04-25
  • 2. Statistics Canada’s Seasonal Adjustment Dashboard Archived
    Articles and reports: 11-522-X202100100020
    Description: Seasonal adjustment of time series at Statistics Canada is performed using the X-12-ARIMA method. For most statistical programs performing seasonal adjustment, subject matter experts (SMEs) are responsible for managing the program and for verification, analysis and dissemination of the data, while methodologists from the Time Series Research and Analysis Center (TSRAC) are responsible for developing and maintaining the seasonal adjustment process and for providing support on seasonal adjustment to SMEs. A visual summary report called the seasonal adjustment dashboard has been developed in R Shiny by the TSRAC to build capacity to interpret seasonally adjusted data and to reduce the resources needed to support seasonal adjustment. It is currently being made available internally to assist SMEs to interpret and explain seasonally adjusted results. The summary report includes graphs of the series across time, as well as summaries of individual seasonal and calendar effects and patterns. Additionally, key seasonal adjustment diagnostics are presented and the net effect of seasonal adjustment is decomposed into its various components. This paper gives a visual representation of the seasonal adjustment process, while demonstrating the dashboard and its interactive functionality.

    Key Words: Time Series; X-12-ARIMA; Summary Report; R Shiny.

    Release date: 2021-10-15
  • 3. Statistics Canada Quality Guidelines
    Surveys and statistical programs – Documentation: 12-539-X
    Description:

    This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.

    Release date: 2019-12-04
  • 4. Seasonal adjustment of stocks and flows in the Financial and Wealth Accounts: towards an integrated approach Archived
    Articles and reports: 13-605-X201800154972
    Description:

    The principal motivation in producing estimates of seasonally adjusted household sector borrowing arose as a result of the observed seasonality present in the unadjusted credit market debt estimates. For example, Canadians tend to borrow more in the form of consumer credit in the fourth quarter, with the arrival of significant retail activity tied to the holidays, and then subsequently retrench in the first quarter. Moreover, mortgage borrowing has a tendency to slow down in the first quarter, but then pick up in the second and third quarters as winter recedes in many areas of Canada and resale activity picks up and families look to secure housing before the start of the upcoming school year. This phenomena of sub-annual cyclical patterns is not constrained to the household sector and can be seen in other areas such as government borrowing. Consequently, seasonal adjustment in this context enhances the interpretability of estimates that possess a strong cyclical component, eliminating the variation due to predictable and recurrent events, and provides data users, policy makers, and researchers with more accurate quarter-to-quarter movements that reveal the underlying trends in the data. While only household borrowing is the current sector of interest, seasonal adjustment will be eventually expanded to encompass other pertinent sectors in the Financial and Wealth Accounts.

    Release date: 2018-12-14
  • 5. Employment, Earnings and Hours
    Table: 72-002-X
    Description:

    This publication presents a timely picture of employment, earnings and hours. The tabulations focus on monthly labour market information and some historical data series. The program provides data for over 200 industries on the total number of paid employees, earnings and hours for Canada, provinces and territories. The estimates are presented as weekly estimates and annual averages are also compiled.

    Release date: 2013-01-15
  • 6. National Income and Expenditure Accounts: Data Tables Archived
    Table: 13-019-X
    Description: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.
    Release date: 2012-08-31
  • 7. Canada's employment downturn Archived
    Articles and reports: 75-001-X200911211048
    Geography: Canada
    Description:

    The Canadian labour market recently experienced its worst downturn since the recession of the early 1990s. Since employment last peaked in October 2008, employment declined by 2.3%, or 400,000 individuals. This article uses data from the Labour Force Survey to examine variations in employment levels from October 2008 to October 2009 across a variety of personal and job characteristics. Comparisons are also made with earlier recessions and the U.S. labour market.

    Release date: 2010-03-23
  • 8. Seasonal adjustment and identifying economic trends Archived
    Articles and reports: 11-010-X201000311141
    Geography: Canada
    Description:

    A review of what seasonal adjustment does, and how it helps analysts focus on recent movements in the underlying trend of economic data.

    Release date: 2010-03-18
  • 9. Canada's employment downturn (October 2008 to October 2009) Archived
    Articles and reports: 11-010-X200901111023
    Geography: Canada
    Description:

    A look at how the labour market changed between October 2008 and 2009.

    Release date: 2009-11-12
  • 10. A nonparametric test for residual seasonality Archived
    Articles and reports: 12-001-X200900110885
    Description:

    Peaks in the spectrum of a stationary process are indicative of the presence of stochastic periodic phenomena, such as a stochastic seasonal effect. This work proposes to measure and test for the presence of such spectral peaks via assessing their aggregate slope and convexity. Our method is developed nonparametrically, and thus may be useful during a preliminary analysis of a series. The technique is also useful for detecting the presence of residual seasonality in seasonally adjusted data. The diagnostic is investigated through simulation and an extensive case study using data from the U.S. Census Bureau and the Organization for Economic Co-operation and Development (OECD).

    Release date: 2009-06-22
Data (5)

Data (5) ((5 results))

  • 1. Earnings and payroll employment in brief: Interactive app
    Data Visualization: 14-20-00012019001
    Description: This interactive visualization application provides a comprehensive picture of the Canadian labour market using the most recent data from the Survey of Employment, Payrolls and Hours (SEPH). The estimates are seasonally adjusted and available by province and largest industrial sector. Historical estimates, going back 10 years, are also included. The interactive application allows users to quickly and easily explore and personalize the information presented. Combine multiple provinces and industrial sectors to create your own labour market domains of interest.
    Release date: 2024-04-25
  • 2. Employment, Earnings and Hours
    Table: 72-002-X
    Description:

    This publication presents a timely picture of employment, earnings and hours. The tabulations focus on monthly labour market information and some historical data series. The program provides data for over 200 industries on the total number of paid employees, earnings and hours for Canada, provinces and territories. The estimates are presented as weekly estimates and annual averages are also compiled.

    Release date: 2013-01-15
  • 3. National Income and Expenditure Accounts: Data Tables Archived
    Table: 13-019-X
    Description: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.
    Release date: 2012-08-31
  • 4. Labour Force Information Archived
    Table: 71-001-P
    Description:

    This publication provides the most current monthly labour market statistics. Each month, this publication contains a brief commentary highlighting recent developments in the Canadian labour market. It also includes a series of charts and tables on a variety of labour force characteristics, such as employment and unemployment for Canada, the provinces, metropolitan areas and economic regions.

    Release date: 2002-08-09
  • 5. Building Permits, Annual Summary Archived
    Table: 64-203-X
    Description:

    This annual publication includes detailed analysis and charts depicting construction activity over the last decade. The tables are comparable to those in the monthly publication 64-001-XPB Building permits. In addition, the annual publication includes revised monthly data, on a seasonally adjusted basis, for the previous three years.

    Release date: 1998-03-30
Analysis (20)

Analysis (20) (0 to 10 of 20 results)

  • 1. Statistics Canada’s Seasonal Adjustment Dashboard Archived
    Articles and reports: 11-522-X202100100020
    Description: Seasonal adjustment of time series at Statistics Canada is performed using the X-12-ARIMA method. For most statistical programs performing seasonal adjustment, subject matter experts (SMEs) are responsible for managing the program and for verification, analysis and dissemination of the data, while methodologists from the Time Series Research and Analysis Center (TSRAC) are responsible for developing and maintaining the seasonal adjustment process and for providing support on seasonal adjustment to SMEs. A visual summary report called the seasonal adjustment dashboard has been developed in R Shiny by the TSRAC to build capacity to interpret seasonally adjusted data and to reduce the resources needed to support seasonal adjustment. It is currently being made available internally to assist SMEs to interpret and explain seasonally adjusted results. The summary report includes graphs of the series across time, as well as summaries of individual seasonal and calendar effects and patterns. Additionally, key seasonal adjustment diagnostics are presented and the net effect of seasonal adjustment is decomposed into its various components. This paper gives a visual representation of the seasonal adjustment process, while demonstrating the dashboard and its interactive functionality.

    Key Words: Time Series; X-12-ARIMA; Summary Report; R Shiny.

    Release date: 2021-10-15
  • 2. Seasonal adjustment of stocks and flows in the Financial and Wealth Accounts: towards an integrated approach Archived
    Articles and reports: 13-605-X201800154972
    Description:

    The principal motivation in producing estimates of seasonally adjusted household sector borrowing arose as a result of the observed seasonality present in the unadjusted credit market debt estimates. For example, Canadians tend to borrow more in the form of consumer credit in the fourth quarter, with the arrival of significant retail activity tied to the holidays, and then subsequently retrench in the first quarter. Moreover, mortgage borrowing has a tendency to slow down in the first quarter, but then pick up in the second and third quarters as winter recedes in many areas of Canada and resale activity picks up and families look to secure housing before the start of the upcoming school year. This phenomena of sub-annual cyclical patterns is not constrained to the household sector and can be seen in other areas such as government borrowing. Consequently, seasonal adjustment in this context enhances the interpretability of estimates that possess a strong cyclical component, eliminating the variation due to predictable and recurrent events, and provides data users, policy makers, and researchers with more accurate quarter-to-quarter movements that reveal the underlying trends in the data. While only household borrowing is the current sector of interest, seasonal adjustment will be eventually expanded to encompass other pertinent sectors in the Financial and Wealth Accounts.

    Release date: 2018-12-14
  • 3. Canada's employment downturn Archived
    Articles and reports: 75-001-X200911211048
    Geography: Canada
    Description:

    The Canadian labour market recently experienced its worst downturn since the recession of the early 1990s. Since employment last peaked in October 2008, employment declined by 2.3%, or 400,000 individuals. This article uses data from the Labour Force Survey to examine variations in employment levels from October 2008 to October 2009 across a variety of personal and job characteristics. Comparisons are also made with earlier recessions and the U.S. labour market.

    Release date: 2010-03-23
  • 4. Seasonal adjustment and identifying economic trends Archived
    Articles and reports: 11-010-X201000311141
    Geography: Canada
    Description:

    A review of what seasonal adjustment does, and how it helps analysts focus on recent movements in the underlying trend of economic data.

    Release date: 2010-03-18
  • 5. Canada's employment downturn (October 2008 to October 2009) Archived
    Articles and reports: 11-010-X200901111023
    Geography: Canada
    Description:

    A look at how the labour market changed between October 2008 and 2009.

    Release date: 2009-11-12
  • 6. A nonparametric test for residual seasonality Archived
    Articles and reports: 12-001-X200900110885
    Description:

    Peaks in the spectrum of a stationary process are indicative of the presence of stochastic periodic phenomena, such as a stochastic seasonal effect. This work proposes to measure and test for the presence of such spectral peaks via assessing their aggregate slope and convexity. Our method is developed nonparametrically, and thus may be useful during a preliminary analysis of a series. The technique is also useful for detecting the presence of residual seasonality in seasonally adjusted data. The diagnostic is investigated through simulation and an extensive case study using data from the U.S. Census Bureau and the Organization for Economic Co-operation and Development (OECD).

    Release date: 2009-06-22
  • 7. Revisions of the Canadian National Tourism Indicators Archived
    Stats in brief: 13-604-M2005047
    Description:

    This paper discusses the revision policy of Canada's National Tourism Indicators (NTI) and summarizes results from some recent studies of data revisions to the NTI. The discussion is timely, as the adoption of explicit data revision policies has been emphasized recently as an essential element in the good governance of statistical systems.

    The paper starts with a brief description of the NTI, their underlying conceptual framework, and their sources and methods. Next comes a discussion of the need for data revisions, and an outline of various types of revisions. Then a few sections are devoted to the new NTI revision policy adopted with the first quarter 2004 estimates, and the associated costs and benefits. Revision studies, which have been used to assess quality of national accounts estimates, and the database established to track data revisions to the NTI are described next. Last, results from some recent NTI data revision exercises and studies are summarized.

    Release date: 2005-01-28
  • 8. Seasonal adjustment of short series Archived
    Articles and reports: 11-522-X20030017693
    Description:

    This paper evaluates changes in the quality performances of two different and widely used programs for seasonal adjustment, X-12-Regarima and Tramo-Seats, when the length of time series is progressively reduced.

    Release date: 2005-01-26
  • 9. Reporting on the quality of seasonal adjustment process at the Statistical Office for the European Commission Archived
    Articles and reports: 11-522-X20030017707
    Description:

    The paper discusses the structure and the quality measures Eurostat uses to provide European Union and EU-Zone with economic seasonally adjusted series.

    Release date: 2005-01-26
  • 10. Combining information from multiple surveys through the empirical likelihood method Archived
    Articles and reports: 11-522-X20030017711
    Description:

    This article uses the recently developed pseudo-empirical likelihood method to construct estimators that not only meet the consistency and efficiency requirements but have more attractive features.

    Release date: 2005-01-26
Reference (2)

Reference (2) ((2 results))

  • 1. Statistics Canada Quality Guidelines
    Surveys and statistical programs – Documentation: 12-539-X
    Description:

    This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.

    Release date: 2019-12-04
  • 2. Gross Domestic Product by Industry: Sources and Methods Archived
    Surveys and statistical programs – Documentation: 15-547-X
    Description:

    Like most statistical agencies, Statistics Canada publishes three Gross Domestic Product (GDP) series. These are the output-based GDP, the income-based GDP and the expenditure-based GDP. This document is aimed at describing the concepts, definitions, classifications and statistical methods underlying the output-based GDP series, also known as GDP by industry or simply monthly GDP.

    The report is organized into seven chapters. Chapter 1 defines what GDP by industry is, describes its various uses and how it connects with the other components of the Canadian System of National Accounts. Chapter 2 deals with the calculation of the GDP by industry estimates. Chapter 3 examines industry and commodity classification schemes. Chapter 4 discusses the subject of deflation. The choice of deflators, the role of the base year and the method of rebasing are all addressed in this chapter. Chapter 5 looks at such technical issues as benchmarking, trading day and seasonal adjustment. Chapter 6 is devoted to the presentation of the GDP by industry, detailing the format, release dates and modes of dissemination, as well as the need and the frequency of revising the estimates. Finally, Chapter 7 reviews the historical development of monthly GDP from 1926 to the present.

    Release date: 2002-11-29
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