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All (128) (0 to 10 of 128 results)

  • Stats in brief: 11-001-X202032126983
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-11-16

  • Articles and reports: 11F0019M2020019
    Description:

    The wages of Canadian women have caught up substantially to those of their male counterparts, particularly from the 1970s to the early 1990s. However, the convergence in earnings by gender has slowed down since 1998. Researchers have struggled to explain this phenomenon with human capital alone (e.g., education and job tenure). Using data from the Canadian Employer–Employee Dynamics Database between 2001 and 2015, this study examines the impact of firms’ hiring and pay-setting policies on the gender earnings gap in Canada.

    Release date: 2020-11-16

  • Journals and periodicals: 11F0019M
    Geography: Canada
    Description:

    The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies Branch staff and collaborators. The Series is intended to stimulate discussion on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. Readers of the Series are encouraged to contact the authors with their comments and suggestions. All the papers in the Analytical Studies Branch Research Paper Series go through institutional and peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.

    Release date: 2020-11-16

  • 33-22-0002
    Description:

    This webinar will provide you with an overview of different Statistics Canada data sets you can access when conducting your market research. It will help you find information on the following 3 topics: getting to know your target market (demographic and household spending data, etc.), understanding your industry (industry classification, financial indicators, etc.) and finding trade data (import/export data, retail/wholesale trade, e-commerce, etc.).

    Release date: 2020-10-20

  • Table: 22-10-0128-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that allow the use of personally-owned devices to carry out regular business-related activities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0129-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that have a specific number of employees that complete tasks related to cyber security as part of their regular responsibilities by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0130-01
    Frequency: Occasional
    Description:

    Percentage of enterprises that use specific risk management arrangements to manage cyber security risks by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0131-01
    Frequency: Occasional
    Description:

    Average spending on specific measures to prevent or detect cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0132-01
    Frequency: Occasional
    Description:

    Average spending on specific measures to recover from cyber security incidents by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20

  • Table: 22-10-0133-01
    Frequency: Occasional
    Description:

    Percentage of enterprises impacted by cyber security incidents in specific ways by the North American Industry Classification System (NAICS) and size of enterprise.

    Release date: 2020-10-20
Data (22)

Data (22) (0 to 10 of 22 results)

Analysis (88)

Analysis (88) (0 to 10 of 88 results)

  • Stats in brief: 11-001-X202032126983
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-11-16

  • Articles and reports: 11F0019M2020019
    Description:

    The wages of Canadian women have caught up substantially to those of their male counterparts, particularly from the 1970s to the early 1990s. However, the convergence in earnings by gender has slowed down since 1998. Researchers have struggled to explain this phenomenon with human capital alone (e.g., education and job tenure). Using data from the Canadian Employer–Employee Dynamics Database between 2001 and 2015, this study examines the impact of firms’ hiring and pay-setting policies on the gender earnings gap in Canada.

    Release date: 2020-11-16

  • Journals and periodicals: 11F0019M
    Geography: Canada
    Description:

    The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies Branch staff and collaborators. The Series is intended to stimulate discussion on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. Readers of the Series are encouraged to contact the authors with their comments and suggestions. All the papers in the Analytical Studies Branch Research Paper Series go through institutional and peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.

    Release date: 2020-11-16

  • Stats in brief: 45-28-0001202000100056
    Description:

    The COVID-19 pandemic continues to impact the Canadian economy and the ability of businesses to operate. Using data from the Canadian Survey on Business Conditions, a comparison was made to assess the impact of COVID-19 on businesses majority-owned by women.

    Release date: 2020-07-17

  • Stats in brief: 11-627-M2019028
    Description:

    The infographic sheds light on the representation of women in leadership positions within corporations conducting business in Canada for the year 2016.

    Release date: 2019-05-07

  • Stats in brief: 11-001-X201909220268
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-04-02

  • Stats in brief: 11-001-X201826719118
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2018-09-24

  • Stats in brief: 11-001-X201704615423
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-02-15

  • Stats in brief: 11-001-X201528112491
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2015-10-08

  • Stats in brief: 11-001-X201516712383
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2015-06-16
Reference (16)

Reference (16) (0 to 10 of 16 results)

  • 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: 12-001-X200800210760
    Description:

    The design of a stratified simple random sample without replacement from a finite population deals with two main issues: the definition of a rule to partition the population into strata, and the allocation of sampling units in the selected strata. This article examines a tree-based strategy which plans to approach jointly these issues when the survey is multipurpose and multivariate information, quantitative or qualitative, is available. Strata are formed through a hierarchical divisive algorithm that selects finer and finer partitions by minimizing, at each step, the sample allocation required to achieve the precision levels set for each surveyed variable. In this way, large numbers of constraints can be satisfied without drastically increasing the sample size, and also without discarding variables selected for stratification or diminishing the number of their class intervals. Furthermore, the algorithm tends not to define empty or almost empty strata, thus avoiding the need for strata collapsing aggregations. The procedure was applied to redesign the Italian Farm Structure Survey. The results indicate that the gain in efficiency held using our strategy is nontrivial. For a given sample size, this procedure achieves the required precision by exploiting a number of strata which is usually a very small fraction of the number of strata available when combining all possible classes from any of the covariates.

    Release date: 2008-12-23

  • Surveys and statistical programs – Documentation: 15-206-X2008017
    Description:

    This paper provides an overview of the productivity program at Statistics Canada and a brief description of Canada's productivity performance. The paper defines productivity and the various measures that are used to investigate different aspects of productivity growth. It describes the difference between partial productivity measures (such as labour productivity) and a more complete measure (multifactor productivity) and the advantages and disadvantages of each. The paper explains why productivity is important. It outlines how productivity growth fits into the growth accounting framework and how this framework is used to examine the various sources of economic growth. The paper briefly discusses the challenges that face statisticians in measuring productivity growth. It also provides an overview of Canada's long-term productivity performance and compares Canada to the United States - both in terms of productivity levels and productivity growth rates.

    Release date: 2008-02-25

  • Notices and consultations: 11-015-X
    Description:

    This newsletter is a brief description of projects within the Business and Labour Market Analysis Division of Statistics Canada. The research covers a wide range of topics including labour market issues, low income, immigration, business firm dynamics, pensions, productivity, technology and innovation, as well as economic geography.

    Release date: 2007-09-14

  • Surveys and statistical programs – Documentation: 11F0024M
    Description:

    This product contains presentations done at Statistics Canada's annual Economic Conference which provides a forum for the exchange of empirical research among the business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analysis while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review.

    Release date: 2005-10-20

  • Surveys and statistical programs – Documentation: 11-522-X20010016229
    Description:

    This paper discusses the approach that Statistics Canada has taken to improve the quality of annual business surveys through their integration in the Unified Enterprise Survey (UES). The primary objective of the UES is to measure the final annual sales of goods and services accurately by province, in sufficient detail and in a timely manner.

    This paper describes the methodological approaches that the UES has used to improve financial and commodity data quality in four broad areas. These include improved coherence of the data collected from different levels of the enterprise, better coverage of industries, better depth of information (in the sense of more content detail and estimates for more detailed domains) and better consistency of the concepts and methods across industries.

    The approach, in achieving quality, has been to (a) establish a base measure of the quality of the business survey program prior to the UES, (b) measure the annual data quality of the UES, and (c) carry out specific studies to better understand the quality of UES data and methods.

    Release date: 2002-09-12

  • Surveys and statistical programs – Documentation: 68F0015X
    Description:

    The purpose of this paper is to provide some general background and describe the methodology of the pilot year Unified Enterprise Survey (UES). It also illustrates the role of the Unified Enterprise Survey Program (UESP) within The Project to Improve Provincial Economic Statistics (PIPES) program. This information package is targeted toward external clients, for example the Provincial Focal Points, enabling them to assess future data releases planned by industry sector. The scope of this information package will be expanded as subsequent data releases over the next six months or so provide more industry specific details for the seven new pilot industries included in the 1997 UES. This document is approximately twenty-two pages in length and is to be offered at no charge to callers requesting information on the UES.

    Release date: 1999-09-01

  • Surveys and statistical programs – Documentation: 61F0041M
    Description:

    These papers consist of research related to business and trade statistics.

    Release date: 1999-09-01

  • Surveys and statistical programs – Documentation: 61F0019X19990025579
    Geography: Canada
    Description:

    The Unified Enterprise Survey (UES) incorporates several annual business surveys into an integrated survey framework. It aims to ensure Statistics Canada receives consistent and integrated data from many types and sizes of businesses, with enough detail to produce accurate provincial statistics. This year, 17 industry surveys are included in the UES, as well as two cross-industry surveys of large enterprises.

    Release date: 1999-06-25

  • Surveys and statistical programs – Documentation: 1105
    Description: The Business Register (BR) is Statistics Canada's continuously-maintained central repository of baseline information on businesses and institutions operating in Canada. As a statistical register, it provides listings of units and related attributes required for survey sampling frames, data integration, stratification and business demographic statistics. The BR is a major pillar of the agency's business statistics programs, including the Census of Agriculture.
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