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- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-05-23
- 2. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 ArchivedSurveys and statistical programs – Documentation: 11-633-X2019001Description:
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 - Articles and reports: 11-522-X200800010959Description:
The Unified Enterprise Survey (UES) at Statistics Canada is an annual business survey that unifies more than 60 surveys from different industries. Two types of collection follow-up score functions are currently used in the UES data collection. The objective of using a score function is to maximize the economically weighted response rates of the survey in terms of the primary variables of interest, under the constraint of a limited follow-up budget. Since the two types of score functions are based on different methodologies, they could have different impacts on the final estimates.
This study generally compares the two types of score functions based on the collection data obtained from the two recent years. For comparison purposes, this study applies each score function method to the same data respectively and computes various estimates of the published financial and commodity variables, their deviation from the true pseudo value and their mean square deviation, based on each method. These estimates of deviation and mean square deviation based on each method are then used to measure the impact of each score function on the final estimates of the financial and commodity variables.
Release date: 2009-12-03 - 4. Efficient bootstrap for business surveys ArchivedArticles and reports: 12-001-X200700210494Description:
The Australian Bureau of Statistics has recently developed a generalized estimation system for processing its large scale annual and sub-annual business surveys. Designs for these surveys have a large number of strata, use Simple Random Sampling within Strata, have non-negligible sampling fractions, are overlapping in consecutive periods, and are subject to frame changes. A significant challenge was to choose a variance estimation method that would best meet the following requirements: valid for a wide range of estimators (e.g., ratio and generalized regression), requires limited computation time, can be easily adapted to different designs and estimators, and has good theoretical properties measured in terms of bias and variance. This paper describes the Without Replacement Scaled Bootstrap (WOSB) that was implemented at the ABS and shows that it is appreciably more efficient than the Rao and Wu (1988)'s With Replacement Scaled Bootstrap (WSB). The main advantages of the Bootstrap over alternative replicate variance estimators are its efficiency (i.e., accuracy per unit of storage space) and the relative simplicity with which it can be specified in a system. This paper describes the WOSB variance estimator for point-in-time and movement estimates that can be expressed as a function of finite population means. Simulation results obtained as part of the evaluation process show that the WOSB was more efficient than the WSB, especially when the stratum sample sizes are sometimes as small as 5.
Release date: 2008-01-03 - 5. Industrial research and development ArchivedStats in brief: 88-001-X20030057878Description:
The statistics in this bulletin are derived from the 2001 survey of industrial research and development activities in Canada, which covers firms spending a million dollars or more on the performance or funding of research and development in Canada, and from the administrative data of the Canada Customs and Revenue Agency (CCRA) for firms which spend less than a million dollars on the performance or funding of research and development
Release date: 2003-07-24 - 6. Rural Diversification ArchivedArticles and reports: 21-601-M2002060Description:
This research project provides an overview of diversification and specialization in rural regions and communities for the census years 1981, 1986, 1991 and 1996.
Release date: 2002-12-04 - Surveys and statistical programs – Documentation: 11-522-X20010016229Description:
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 - Articles and reports: 11-522-X20010016263Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper describes the Annual Business Inquiry (ABI) project to integrate the Office for National Statistics' (ONS) main, annual business surveys, regardless of economic sectors. The ABI project also brings together employment and financial data surveys and is capable of generating a wide range of subnational analyses, another objective of the development. Methodological aspects covered by the paper include sample design; estimation and outlier treatment; apportionment of data from reporting units to local units (individual sites) and the methodology for subnational and small area estimation. The subnational methodology involves the use of logistic and loglinear models.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016305Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
A review of the Office for National Statistics (ONS) identified the need for new methods which would improve the efficiency of the data validation and editing processes in business surveys, but would not adversely impact the data quality. Methods for automating the correction of systematic errors, and for applying selective editing, were developed. However, the ways in which the organization and the procedures for ONS business surveys have evolved, presented a number of challenges in implementing these methods. This paper describes these challenges and how they were addressed and considers the relevance of these challenges to other organizations. Approaches to evaluating the impact of new methods on both quality and efficiency are also discussed.
Release date: 2002-09-12 - 10. Industrial research and development, 1998 to 2002 ArchivedStats in brief: 88-001-X20020047897Description:
The statistics in this bulletin are derived from the 2000 survey of industrial research and development activities in Canada, which covers firms spending a million dollars or more on the performance or funding of research and development in Canada, and from the administrative data of the Canada Customs and Revenue Agency (CCRA) for firms which spend less than a million dollars on the performance or funding of research and development in Canada. The use of CCRA data results in a small understatement in total figures for the most recent years reported.
Release date: 2002-07-19
Data (4)
Data (4) ((4 results))
- Table: 50-002-X20010015780Description:
Section 1 described results for small for-hire carriers whose operating revenues were between $30,000 and $1,000,000. Section 2 contains data for all owner operators included in the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators including some firms whose operating revenues exceeded $1,000,000. Section 3 provides a general discussion of the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators methodology and data quality.
Release date: 2001-06-29 - 2. Telecommunications in Canada ArchivedTable: 56-203-XDescription:
This online publication presents annual, detailed financial statistics on the Canadian telephone industry by province. Also included are operational data such as wire mileage, number of telephone calls and number of access lines in service. There is a textual analysis of the data with comments on methodology, a data quality and a glossary of terms.
Release date: 2001-04-17 - Table: 61F0090XDescription:
The Survey of Usage by Businesses of the Social Insurance Number was conducted during June and July 2000 on behalf of Human Resources Development Canada. The survey asked companies with two or more employees how they used the Social Insurance Number of their employees, contract workers and clients, and how they used the SIN card. This electronic publication presents 7 selected detailed tables in support of The daily (cat. no. 11-001-XIE) release February 15, along with methods and concepts pertaining to the release.
Release date: 2001-02-15 - Table: 16F0006PDescription:
Environmental protection expenditures in the business sector, preliminary data presents operating and capital expenditures made by primary and manufacturing industries in response to, or in anticipation of, environmental regulations and conventions. The results are from the Environmental Protection Expenditure Survey. The data contained in Environmental protection expenditures in the business sector help to fill important gaps in existing information on the demand side of the 'environment industry.' More specifically, it provides a measure of the cost to the industry of adopting pollution prevention and abatement technologies and other environmental protection practices. Data included in Environmental protection expenditures in the business sector are components of a national statistical database on the environment industry.
Release date: 1999-02-19
Analysis (10)
Analysis (10) ((10 results))
- Journals and periodicals: 11-632-XDescription: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.Release date: 2024-05-23
- Articles and reports: 11-522-X200800010959Description:
The Unified Enterprise Survey (UES) at Statistics Canada is an annual business survey that unifies more than 60 surveys from different industries. Two types of collection follow-up score functions are currently used in the UES data collection. The objective of using a score function is to maximize the economically weighted response rates of the survey in terms of the primary variables of interest, under the constraint of a limited follow-up budget. Since the two types of score functions are based on different methodologies, they could have different impacts on the final estimates.
This study generally compares the two types of score functions based on the collection data obtained from the two recent years. For comparison purposes, this study applies each score function method to the same data respectively and computes various estimates of the published financial and commodity variables, their deviation from the true pseudo value and their mean square deviation, based on each method. These estimates of deviation and mean square deviation based on each method are then used to measure the impact of each score function on the final estimates of the financial and commodity variables.
Release date: 2009-12-03 - 3. Efficient bootstrap for business surveys ArchivedArticles and reports: 12-001-X200700210494Description:
The Australian Bureau of Statistics has recently developed a generalized estimation system for processing its large scale annual and sub-annual business surveys. Designs for these surveys have a large number of strata, use Simple Random Sampling within Strata, have non-negligible sampling fractions, are overlapping in consecutive periods, and are subject to frame changes. A significant challenge was to choose a variance estimation method that would best meet the following requirements: valid for a wide range of estimators (e.g., ratio and generalized regression), requires limited computation time, can be easily adapted to different designs and estimators, and has good theoretical properties measured in terms of bias and variance. This paper describes the Without Replacement Scaled Bootstrap (WOSB) that was implemented at the ABS and shows that it is appreciably more efficient than the Rao and Wu (1988)'s With Replacement Scaled Bootstrap (WSB). The main advantages of the Bootstrap over alternative replicate variance estimators are its efficiency (i.e., accuracy per unit of storage space) and the relative simplicity with which it can be specified in a system. This paper describes the WOSB variance estimator for point-in-time and movement estimates that can be expressed as a function of finite population means. Simulation results obtained as part of the evaluation process show that the WOSB was more efficient than the WSB, especially when the stratum sample sizes are sometimes as small as 5.
Release date: 2008-01-03 - 4. Industrial research and development ArchivedStats in brief: 88-001-X20030057878Description:
The statistics in this bulletin are derived from the 2001 survey of industrial research and development activities in Canada, which covers firms spending a million dollars or more on the performance or funding of research and development in Canada, and from the administrative data of the Canada Customs and Revenue Agency (CCRA) for firms which spend less than a million dollars on the performance or funding of research and development
Release date: 2003-07-24 - 5. Rural Diversification ArchivedArticles and reports: 21-601-M2002060Description:
This research project provides an overview of diversification and specialization in rural regions and communities for the census years 1981, 1986, 1991 and 1996.
Release date: 2002-12-04 - Articles and reports: 11-522-X20010016263Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
This paper describes the Annual Business Inquiry (ABI) project to integrate the Office for National Statistics' (ONS) main, annual business surveys, regardless of economic sectors. The ABI project also brings together employment and financial data surveys and is capable of generating a wide range of subnational analyses, another objective of the development. Methodological aspects covered by the paper include sample design; estimation and outlier treatment; apportionment of data from reporting units to local units (individual sites) and the methodology for subnational and small area estimation. The subnational methodology involves the use of logistic and loglinear models.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016305Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
A review of the Office for National Statistics (ONS) identified the need for new methods which would improve the efficiency of the data validation and editing processes in business surveys, but would not adversely impact the data quality. Methods for automating the correction of systematic errors, and for applying selective editing, were developed. However, the ways in which the organization and the procedures for ONS business surveys have evolved, presented a number of challenges in implementing these methods. This paper describes these challenges and how they were addressed and considers the relevance of these challenges to other organizations. Approaches to evaluating the impact of new methods on both quality and efficiency are also discussed.
Release date: 2002-09-12 - Stats in brief: 88-001-X20020047897Description:
The statistics in this bulletin are derived from the 2000 survey of industrial research and development activities in Canada, which covers firms spending a million dollars or more on the performance or funding of research and development in Canada, and from the administrative data of the Canada Customs and Revenue Agency (CCRA) for firms which spend less than a million dollars on the performance or funding of research and development in Canada. The use of CCRA data results in a small understatement in total figures for the most recent years reported.
Release date: 2002-07-19 - Articles and reports: 11F0027M2002002Geography: CanadaDescription:
The paper examines the possible explanations for deviations from purchasing power parity (PPP) between Canada and the United States in the 1980s and 1990s and investigates both the productivity effect and the underlying PPP assumption for tradable goods.
Release date: 2002-05-30 - Journals and periodicals: 61F0057MGeography: CanadaDescription:
The results of special business surveys conducted on a cost-recovery basis on behalf of clients outside Statistics Canada are published in this series, one issue per survey. The first issue presents the results of the 1995 Survey of Practices in Support of Quality Services in the Federal Public Service.
Release date: 1999-06-21
Reference (3)
Reference (3) ((3 results))
- 1. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 ArchivedSurveys and statistical programs – Documentation: 11-633-X2019001Description:
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: 11-522-X20010016229Description:
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 - 3. Unified Enterprise Survey Information Package ArchivedSurveys and statistical programs – Documentation: 68F0015XDescription:
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
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