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All (137) (0 to 10 of 137 results)

  • 1. Latest Developments in the Canadian Economic Accounts
    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: 2025-12-11
  • 2. On the Interplay of Legal Requirements, Quality Aspects and Ethical Risks when using Machine Learning in German Official Statistics Archived
    Articles and reports: 11-522-X202500100014
    Description: Artificial intelligence (AI) with its subfield machine learning (ML) has found its way into administration in general and also into official statistics in Germany in particular. This paper highlights the ethical issues that may arise when using AI/ML in official statistics and examines whether a separate ethical framework is needed to deal with these issues appropriately, as is proposed by institutions of other countries and intergovernmental institutions related to official statistics. The results of the study are presented to show that the implementation of the requirements of the existing and mostly non-AI/ML-specific frames of reference such as law and quality is already sufficient to adequately address the ethical issues based on risk scenarios.
    Release date: 2025-09-08
  • 3. The Future of National Statistical Organisations: The Longer-Term Role and Shape of NSOs Archived
    Articles and reports: 11-522-X202500100024
    Description: This paper explores a vision for the future of National Statistics Offices (NSOs). It analyses the history and role of NSOs before exploring current and future challenges and opportunities for NSOs, before finally outlining a future where NSOs become more agile, open, and collaborative while maintaining their high level of trust in the community, thereby allowing them to fulfil their new role as data stewards in a rapidly evolving data landscape.
    Release date: 2025-09-08
  • 4. Ahead of the Trends: J.N.K. Rao's Contributions to Survey Research Archived
    Articles and reports: 11-522-X202500100029
    Description: J.N.K. Rao has contributed to almost every subdiscipline of survey research, including unequal-probability and two-phase sampling, variance estimation, regression and categorical data analysis, small area estimation, and data integration. For each of these topics, Rao's work anticipated and led future research directions. His contributions will be discussed in the context of broader research trends as seen in the articles of Survey Methodology over the journal's 50-year history.
    Release date: 2025-09-08
  • 5. Contributions of J.N.K. Rao to Complex Survey Multilevel Models and Composite Likelihood Archived
    Articles and reports: 11-522-X202500100030
    Description: In the setting of multilevel models to be estimated using data from surveys with complex sampling designs, this paper outlines some contributions of the landmark paper by Rao, Verret and Hidiroglou (Survey Methodology, 2013) and subsequent related work.
    Release date: 2025-09-08
  • 6. A conversation with Geoffrey Hole
    Articles and reports: 12-001-X202500100001
    Description: Geoffrey J.C. Hole (or Geoff, as he likes to be called) was born on January 24, 1940 at Shardeloes, Amersham, Buckinghamshire, England, to Charles William Hole and Sybil Winifred Hole, formerly Morge. He completed a BSc Honours in Mathematics in 1961, and a Postgraduate Diploma in Statistics at Manchester University the following year. He started his career as a mathematical statistician in London, England, working successively for the National Coal Board (1962-63), the Central Electricity Generating Board (1963-66), and the Electricity Council (1966-67), where his title was Economist. He moved to Canada in 1967 to join the Dominion Bureau of Statistics (DBS) as a survey methodologist. In 1971-72, he was Chief of Census Operations, Methodology and Quality Control Section, and Assistant Coordinator, Socio-Economic Survey Methods Section. He then took a one-year leave of absence to complete an MSc (Econ) in Statistics at the London School of Economics. In 1973, Geoff returned to the DBS, which had become Statistics Canada, as Chief, Methodology Group V, Business Survey Methods Division. In 1974, he was appointed Director, Institutions and Agriculture Survey Methods Division, and, as of 1986, Director, Business Survey Methods Division. His career culminated when he became Director, Social Survey Methods Division, in 1987. He held that position until his retirement, on September 29, 2004. In addition to his long-term involvement at Statistics Canada, including as a member of the Editorial Board of Survey Methodology between 1983 and 1987, Geoff was very active in the Statistical Society of Canada (SSC), serving among others as Chair of the Program Committee for the 1986 Annual Meeting at the Banff Centre, in Alberta, and President of the SSC in 1989-90. He was also Program Chair for a joint conference of the International Association of Survey Statisticians and the International Association for Official Statistics which was held in Aguascalientes, Mexico, in 1998.
    Release date: 2025-06-30
  • 7. A conversation with Dr. Ivan P. Fellegi
    Articles and reports: 12-001-X202500100002
    Description: Ivan Fellegi is an expert in statistical science and a public servant who was the Chief Statistician of Canada from 1985 to 2008. This article briefly recounts his early life, long-spanning career and influential research contributions. It includes an interview conducted in February 2017 to mark the 60th year of service of Ivan Fellegi’s career at Statistics Canada.
    Release date: 2025-06-30
  • 8. Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100015
    Description: This rejoinder is arranged as a series of themes or issues, inspired by the original article, and addressed, to varying degrees, in the six discussions. Among the themes: probability sampling and other paradigms in survey science; the role of the national statistical institutes in the growth of survey science; recent breakthroughs in the use of administrative data in statistics production, with multiple data inputs; the research tradition: a finite population and a well-behaved sample; deepened awareness, in recent decades, of the tradition and its ramifications; the theory track and the role of the academic sector; attempts, over time, at resolving problems; imperfections in the data collection, in the realized sample; nonresponse treatment, responsive design, panel surveys; realpolitik in national statistics production: a realistic approach to meet urgent demands for statistical information.
    Release date: 2025-06-30
  • 9. Comments by Mary E. Thompson on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100016
    Description: These comments on C.-E. Särndal’s paper, “Progress in survey science and practice: yesterday-today-tomorrow”, will touch on probability sampling fundamentals, progress through competing approaches to inference, connections with other parts of statistics, and data in the twenty-first century.
    Release date: 2025-06-30
  • 10. Comments by Eric Rancourt on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100017
    Description: In his paper, Särndal is reviewing the scientific aspects of the development of the survey sampling theory. In light of multiple changes in this field, some have called for a new paradigm. Upon careful analysis, Särndal lands on saying that there has been a strong research tradition which is anchored on assumptions about finite populations and feasibility of characterizing them with only a sample. With this framework, there can still be research and change, but the paradigm would essentially remain. In my discussion of this article, after providing precisions on the context of National Statistical Offices (mainly about Statistics Canada), I agree on many points and wonder if it is not a change in methodological paradigm rather than statistical paradigm that we are witnessing and point to some possible ways forward.
    Release date: 2025-06-30
Data (1)

Data (1) ((1 result))

  • 1. National Tourism Indicators, Historical Estimates Archived
    Table: 13-220-X
    Description: In the 1997 edition, new and revised benchmarks were introduced for 1992 and 1988. The indicators are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The annual tables are derived using the National Income and Expenditure Accounts (NIEA) and various industry and travel surveys. Tables providing actual data and percentage changes, for seasonally adjusted current and constant price estimates are included. In addition, an analytical section provides graphs, and time series of first differences, percentage changes, and seasonal factors for selected indicators. Data are published from 1987 and the publication will be available on the day of release. New data are included in the demand tables for non-tourism commodities produced by non-tourism industries and in the employment tables covering direct tourism employment generated by non-tourism industries. This product was commissioned by the Canadian Tourism Commission to provide annual updates for the Tourism Satellite Account.
    Release date: 2003-01-08
Analysis (106)

Analysis (106) (0 to 10 of 106 results)

  • 1. On the Interplay of Legal Requirements, Quality Aspects and Ethical Risks when using Machine Learning in German Official Statistics Archived
    Articles and reports: 11-522-X202500100014
    Description: Artificial intelligence (AI) with its subfield machine learning (ML) has found its way into administration in general and also into official statistics in Germany in particular. This paper highlights the ethical issues that may arise when using AI/ML in official statistics and examines whether a separate ethical framework is needed to deal with these issues appropriately, as is proposed by institutions of other countries and intergovernmental institutions related to official statistics. The results of the study are presented to show that the implementation of the requirements of the existing and mostly non-AI/ML-specific frames of reference such as law and quality is already sufficient to adequately address the ethical issues based on risk scenarios.
    Release date: 2025-09-08
  • 2. The Future of National Statistical Organisations: The Longer-Term Role and Shape of NSOs Archived
    Articles and reports: 11-522-X202500100024
    Description: This paper explores a vision for the future of National Statistics Offices (NSOs). It analyses the history and role of NSOs before exploring current and future challenges and opportunities for NSOs, before finally outlining a future where NSOs become more agile, open, and collaborative while maintaining their high level of trust in the community, thereby allowing them to fulfil their new role as data stewards in a rapidly evolving data landscape.
    Release date: 2025-09-08
  • 3. Ahead of the Trends: J.N.K. Rao's Contributions to Survey Research Archived
    Articles and reports: 11-522-X202500100029
    Description: J.N.K. Rao has contributed to almost every subdiscipline of survey research, including unequal-probability and two-phase sampling, variance estimation, regression and categorical data analysis, small area estimation, and data integration. For each of these topics, Rao's work anticipated and led future research directions. His contributions will be discussed in the context of broader research trends as seen in the articles of Survey Methodology over the journal's 50-year history.
    Release date: 2025-09-08
  • 4. Contributions of J.N.K. Rao to Complex Survey Multilevel Models and Composite Likelihood Archived
    Articles and reports: 11-522-X202500100030
    Description: In the setting of multilevel models to be estimated using data from surveys with complex sampling designs, this paper outlines some contributions of the landmark paper by Rao, Verret and Hidiroglou (Survey Methodology, 2013) and subsequent related work.
    Release date: 2025-09-08
  • 5. A conversation with Geoffrey Hole
    Articles and reports: 12-001-X202500100001
    Description: Geoffrey J.C. Hole (or Geoff, as he likes to be called) was born on January 24, 1940 at Shardeloes, Amersham, Buckinghamshire, England, to Charles William Hole and Sybil Winifred Hole, formerly Morge. He completed a BSc Honours in Mathematics in 1961, and a Postgraduate Diploma in Statistics at Manchester University the following year. He started his career as a mathematical statistician in London, England, working successively for the National Coal Board (1962-63), the Central Electricity Generating Board (1963-66), and the Electricity Council (1966-67), where his title was Economist. He moved to Canada in 1967 to join the Dominion Bureau of Statistics (DBS) as a survey methodologist. In 1971-72, he was Chief of Census Operations, Methodology and Quality Control Section, and Assistant Coordinator, Socio-Economic Survey Methods Section. He then took a one-year leave of absence to complete an MSc (Econ) in Statistics at the London School of Economics. In 1973, Geoff returned to the DBS, which had become Statistics Canada, as Chief, Methodology Group V, Business Survey Methods Division. In 1974, he was appointed Director, Institutions and Agriculture Survey Methods Division, and, as of 1986, Director, Business Survey Methods Division. His career culminated when he became Director, Social Survey Methods Division, in 1987. He held that position until his retirement, on September 29, 2004. In addition to his long-term involvement at Statistics Canada, including as a member of the Editorial Board of Survey Methodology between 1983 and 1987, Geoff was very active in the Statistical Society of Canada (SSC), serving among others as Chair of the Program Committee for the 1986 Annual Meeting at the Banff Centre, in Alberta, and President of the SSC in 1989-90. He was also Program Chair for a joint conference of the International Association of Survey Statisticians and the International Association for Official Statistics which was held in Aguascalientes, Mexico, in 1998.
    Release date: 2025-06-30
  • 6. A conversation with Dr. Ivan P. Fellegi
    Articles and reports: 12-001-X202500100002
    Description: Ivan Fellegi is an expert in statistical science and a public servant who was the Chief Statistician of Canada from 1985 to 2008. This article briefly recounts his early life, long-spanning career and influential research contributions. It includes an interview conducted in February 2017 to mark the 60th year of service of Ivan Fellegi’s career at Statistics Canada.
    Release date: 2025-06-30
  • 7. Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100015
    Description: This rejoinder is arranged as a series of themes or issues, inspired by the original article, and addressed, to varying degrees, in the six discussions. Among the themes: probability sampling and other paradigms in survey science; the role of the national statistical institutes in the growth of survey science; recent breakthroughs in the use of administrative data in statistics production, with multiple data inputs; the research tradition: a finite population and a well-behaved sample; deepened awareness, in recent decades, of the tradition and its ramifications; the theory track and the role of the academic sector; attempts, over time, at resolving problems; imperfections in the data collection, in the realized sample; nonresponse treatment, responsive design, panel surveys; realpolitik in national statistics production: a realistic approach to meet urgent demands for statistical information.
    Release date: 2025-06-30
  • 8. Comments by Mary E. Thompson on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100016
    Description: These comments on C.-E. Särndal’s paper, “Progress in survey science and practice: yesterday-today-tomorrow”, will touch on probability sampling fundamentals, progress through competing approaches to inference, connections with other parts of statistics, and data in the twenty-first century.
    Release date: 2025-06-30
  • 9. Comments by Eric Rancourt on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100017
    Description: In his paper, Särndal is reviewing the scientific aspects of the development of the survey sampling theory. In light of multiple changes in this field, some have called for a new paradigm. Upon careful analysis, Särndal lands on saying that there has been a strong research tradition which is anchored on assumptions about finite populations and feasibility of characterizing them with only a sample. With this framework, there can still be research and change, but the paradigm would essentially remain. In my discussion of this article, after providing precisions on the context of National Statistical Offices (mainly about Statistics Canada), I agree on many points and wonder if it is not a change in methodological paradigm rather than statistical paradigm that we are witnessing and point to some possible ways forward.
    Release date: 2025-06-30
  • 10. Comments by Risto Lehtonen on “Progress in survey science and practice: Yesterday-today-tomorrow”
    Articles and reports: 12-001-X202500100018
    Description: In his article, Professor Carl-Erik Särndal presents for sample-based statistics a new conceptual framework with only a few key assumptions. Selected aspects of the research tradition in Survey Science are briefly discussed in my comments.
    Release date: 2025-06-30
Reference (30)

Reference (30) (0 to 10 of 30 results)

  • 1. Latest Developments in the Canadian Economic Accounts
    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: 2025-12-11
  • 2. First-time homebuyer concept: Technical reference note Archived
    Surveys and statistical programs – Documentation: 75F0002M2020001
    Description:

    This note provides the definition of a first-time homebuyer concept used in the 2018 Canadian Housing Survey (CHS). It also includes the methodology used to identify first-time homebuyers and provides sensitivity analysis under alternative methodologies.

    Release date: 2020-01-15
  • 3. Overview of the Canadian Government Finance Statistics Archived
    Surveys and statistical programs – Documentation: 13-605-X201400514088
    Description:

    An overview of the Canadian Government Finance Statistics (CGFS) framework; how it relates to other government statistics such as the Canadian System of Macroeconomic Accounts and the Public Accounts; and the new GFS data products available to users

    Release date: 2014-11-07
  • 4. Balance of Payments trade in goods at Statistics Canada: Expanding geographic detail to 27 principal trading partners
    Notices and consultations: 13-605-X201400414107
    Description:

    Beginning in November 2014, International Trade in goods data will be provided on a Balance of Payments (BOP) basis for additional country detail. In publishing this data, BOP-based exports to and imports from 27 countries, referred to as Canada’s Principal Trading Partners (PTPs), will be highlighted for the first time. BOP-based trade in goods data will be available for countries such as China and Mexico, Brazil and India, South Korea, and our largest European Union trading partners, in response to substantial demand for information on these countries in recent years. Until now, Canada’s geographical trading patterns have been examined almost exclusively through analysis of Customs-based trade data. Moreover, BOP trade in goods data for these countries will be available alongside the now quarterly Trade in Services data as well as annual Foreign Direct Investment data for many of these Principal Trading Partners, facilitating country-level international trade and investment analysis using fully comparable data. The objective of this article is to introduce these new measures. This note will first walk users through the key BOP concepts, most importantly the concept of change in ownership. This will serve to familiarize analysts with the Balance of Payments framework for analyzing country-level data, in contrast to Customs-based trade data. Second, some preliminary analysis will be reviewed to illustrate the concepts, with provisional estimates for BOP-based trade with China serving as the principal example. Lastly, we will outline the expansion of quarterly trade in services to generate new estimates of trade for the PTPs and discuss future work in trade statistics.

    Release date: 2014-11-04
  • 5. Revisions to trade data for crude oil and natural gas Archived
    Surveys and statistical programs – Documentation: 13-605-X201400214100
    Description:

    Canadian international merchandise trade data are released monthly and may be revised in subsequent releases as new information becomes available. These data are released approximately 35 days following the close of the reference period and represent one of the timeliest economic indicators produced by Statistics Canada. Given their timeliness, some of the data are not received in time and need to be estimated or modelled. This is the case for imports and exports of crude petroleum and natural gas. More specifically, at the time of release, energy trade data are based on an incomplete set of information and are revised as Statistics Canada and National Energy Board information becomes available in the subsequent months. Due to the increasing importance of energy imports and exports and the timeliness of the data, the revisions to energy prices and volumes are having an increasingly significant impact on the monthly revision to Canada’s trade balance. This note explains how the estimates in the initial release are made when data sources are not yet available, and how the original data are adjusted in subsequent releases.

    Release date: 2014-10-03
  • 6. Revisions to international merchandise trade statistics Archived
    Surveys and statistical programs – Documentation: 13-605-X201300411819
    Description:

    This is an update of the 2009 article Revisions to international merchandise trade statistics, accounting for changes resulting from increased timeliness in the release of merchandise trade statistics.

    Release date: 2013-06-07
  • 7. An overview of the upcoming planned revisions to the Canadian System of Macroeconomic Accounts
    Notices and consultations: 13-605-X201300311816
    Description:

    Statistical revisions are regularly applied to the Canadian System of Macroeconomic Accounts in order to incorporate the most current information from censuses, annual surveys, administrative statistics, public accounts, etc., and to implement improved estimation methods. Statistics Canada also conducts more comprehensive revisions to the Canadian System of Macroeconomic Accounts, which generally reflect new concepts, accounting treatments or methods. This paper outlines the scheduled revisions planned for 2013 to 2015.

    Release date: 2013-05-21
  • 8. Reconciling Canadian - U.S. measures of household disposable income and household debt Archived
    Surveys and statistical programs – Documentation: 13-605-X201200511748
    Description:

    This note provides users with a reconciliation between Canadian and American measures of household disposable income, debt and the household credit market debt to disposable income ratio.

    Release date: 2012-12-03
  • 9. A New Presentation for the Quarterly National Accounts Archived
    Notices and consultations: 13-605-X201200111671
    Description:

    Macroeconomic data for Canada, including Canada's National Accounts (gross domestic product (GDP), saving and net worth), Balance of International Payments (current and capital account surplus or deficit and International Investment Position) and Government Financial Statistics (government deficit and debt) are based on international standards. These international standards are set on a coordinated basis by international organizations including the United Nations, the Organisation for Economic Cooperation and Development (OECD), the International Monetary Fund (IMF), the World Bank and Eurostat, with input from experts around the world. Canada has always played an important role in the development and updating of these standards as they have transformed from the crude guidelines of the early to mid 20th century to the fully articulated standards that exist today.

    The purpose of this document is to introduce a new presentation of the quarterly National Accounts (Income and Expenditure Accounts, Financial Flow Accounts and National Balance Sheet Accounts) that will be published with the conversion of the Canadian National Accounts to the latest international standard - System of National Accounts 2008.

    Release date: 2012-05-30
  • 10. A preview of the historical revision of the Canadian System of National Accounts Archived
    Notices and consultations: 13-605-X201100311491
    Description:

    This paper provides a preview of the comprehensive (historical) revision of the Canadian System National Accounts to be released beginning in June 2012. The last revision of this scope took place in 1997. The paper highlights the changes resulting from the adoption of SNA2008 which is the revised international standard for national accounting, along with statistical revisions arising from new and improved source data and methodologies. Updates to the classification systems used in the Canadian System of National Accounts are also presented along with a list of changes planned for 2014.

    Release date: 2011-06-20

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