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Description: Number of hours in a standard work week for salaried employees, by North American Industry Classification System (NAICS), last 5 months.

Description: Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.

Description: Employment for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.

Description: Average weekly earnings (including overtime) for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.

Description: Average weekly hours (including overtime) for employees paid by the hour, by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.

Description: Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.

Description:

Number of employees and average weekly earnings (including overtime) for all employees in the automotive industry, based on the North American Industry Classification System (NAICS), last 5 months.

Description: Number of employees, average hourly and weekly earnings, and average weekly hours by North American Industry Classification System (NAICS) and type of employee, last 5 months.

Description: Number of employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.

Description: Number of employees and average weekly earnings (including overtime) for all employees by provinces, territories and North American Industry Classification System (NAICS), last 5 months.

Description: Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.

Description:

Number of employees and average weekly earnings (including overtime) for all employees in the automotive industry, based on the North American Industry Classification System (NAICS), last 5 months.

Description: Number of employees, average hourly and weekly earnings, and average weekly hours by North American Industry Classification System (NAICS) and type of employee, last 5 months.

Description: Number of employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.

Description: Number of employees and average weekly earnings (including overtime) for all employees by provinces, territories and North American Industry Classification System (NAICS), last 5 months.

Description:

Average weekly hours for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 months.

Description: Number of job vacancies and payroll employees, and job vacancy rate by province and territory, last 5 months.

Description: Number of job vacancies and payroll employees, and job vacancy rate by two-digit North American Industry Classification System (NAICS) code, last 5 months.

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Number of job vacancies and payroll employees, and job vacancy rate by two-digit North American Industry Classification System (NAICS) code, last 5 months.

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Number of job vacancies and payroll employees, and job vacancy rate by province and territory, last 5 months.

Description:

Due to the absence of hard data and the lack of standardization with respect to nonresponse terminology and reporting procedures, U.S. commercial survey researchers have been unable to obtain an accurate assessment of the nature and extent of the nonresponse problem. However, the results of two recent studies conducted by the author among leading U.S. based market and public opinion research firms revealed that nonresponse is one of the major problems now confronting the commercial survey research industry. This paper discusses the results of the two studies and their implications.

Description:

The article provides a general overview of the concepts of incomplete data and non-response. It is recognized that non-response is an important indicator of data quality, as it affects the estimators by introducing bias and increasing variance due to a reduction in the effective sample size. The relationship between bias and the non-response rate is less obvious, since it depends on the extent of non-response and on the difference in the various characteristics between respondents and non-respondents.

The most effective way of dealing with the effects of non-response is to minimize its extent. However, any attempt to control the extent of non-response must be based on a good understanding of its origins. The causes and extent of non-response are fundamentally related to (i) the type of survey, (ii) the data capture methods, and (iii) the sample design. However, given a sample design, the extent of non-response will be influenced by factors such as the type of region and the type of non-response.

There are several ways to handle incomplete data. Each one, in the end, assigns a value to the missing or incorrect data, unless it is decided to publish “raw” data. The procedure for assigning values is called imputation and such an imputed value presumably describes the characteristic of the non-respondent.

The article provides a brief philosophical explanation about validation and imputation and their applications in the methodology of the various imputation procedures. These include weighting, replication, hot deck imputation using previous data and substitution by a zero value. The using of imputation compared with the methods used in the Canadian Labour Force Survey (LFS) is also discussed. A decision table is provided indicating the various steps to follow for a particular case of a partially completed LFS questionnaire.

Description:

This presentation focuses on the present and future social needs of the public, and tracking these needs by surveys. It is divided into two parts. First, the writer gives some history of the tracking systems. Then, he speaks about the future and his forecasts for the new tracking systems.

Description: This paper makes a proposal to create a new type of information bank, the “Synthetic Data Bank”. This type of bank would involve linking information from two data banks to create a third. The result would be that much greater use could be made of existing data banks in conjunction with new data collection activities. This would mean a significant reduction in the amount of data to be collected which, in effect, could potentially reduce both data collection costs and response burden. The paper suggests a number of considerations in developing statistical techniques to facilitate the creation of such an information linkage concept. Some of these techniques are to be found in modern literature’ others may well have to be developed.

Description: My brief as a speaker was to comment on points raised in the opening session, within the general theme of serving the needs of research users in the 1980’s. This scheme did not allow a prepared paper, and my impromptu comments tended to be discussive. Below is a summary of my main points, leaving out anecdotes and examples used in the actual talk.

Description: This paper deals with the desirability of designing surveys in such a way that results can be compared to previous existing data. The writer explains why there are practical difficulties in assessing the significance of data collected in a one-time survey where these data stand alone and are not readily comparable to other existing data, i.e., where control group data or other benchmarks do not exist.

Description: The government survey sponsor should plan carefully what he expects to get from the supplier, specifying who is to do what, when, including details of what the sponsor will do. If there are many eligible suppliers, only a small number should be invited to submit proposals, increasing as the value of the contract increases. Procedures for screening suppliers and selecting the successful one should be organized before proposals are received. These should include visits to review suppliers, facilities and organization, as a good relationship between a sponsor and a supplier depends largely on good faith and willing cooperation. Sponsor-supplier relationships are more formal, and more time-consuming in the selection process, than in the private sector.

Description: Various research methods are discussed in terms of evaluating government programs and meeting the needs of users in the private sector. A brief evaluation of social trend studies is given, as well as a description of problems associated with consumer research.

Description:

The paper illustrates several practical problems in the adaptation of statistical theory to survey design in the context of the revision of an employment survey programme.

Description:

The Reverse Record Check is the main vehicle used to assess the level of undercoverage in the Canadian Census of Population. A sample of persons is selected from sources independent of the current census and extensive tracing operations are undertaken to determine the usual address of each selected person as of Census day. Census records are then checked to determine whether or not each selected person was enumerated. The tracing is by far the most complex, costly and time-consuming operation associated with this study. It involves extensive use of administrative records as well as tracing in the field. This paper describes the various tracing methods used as well as the success obtained from each of them.

Description: This product contains specifications intended for users of the human landscape modification index (HLMI) geospatial files that represent the degree of direct landscape modifications to Canada's terrestrial and freshwater extent (excluding the Great Lakes) around 2020. This document provides important technical information for users, including scope, data content and structure, data quality and data capture. This document also provides additional information about the datasets used to develop the HLMI.

Description: Spatial information products provide users with data for visualization, reference, mapping and spatial analysis using geographical information systems (GIS). Available files include spatial environmental data as well as documentation and metadata. This information is released as part of a suite of products associated with the Census of Environment (CoE). The CoE organizes data about Canada’s natural environment using the System of Environmental-Economic Accounting – Ecosystem Accounting international statistical standard, which takes a spatial approach to accounting for Canada’s ecosystems and natural capital.

Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.

Description: This article provides nontechnical answers to questions related to the production, use and interpretation of advance indicators for Statistics Canada’s Monthly Survey of Manufacturing, Monthly Wholesale Trade Survey and Monthly Retail Trade Survey.

Description: Documents in this series provide insight into the statistical methods used by Statistics Canada to produce official statistics. They include introductory material, in-depth descriptions of techniques and methods, best practices, and guidelines. All documents have undergone review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted methodological standards and practices.

Description: This reference document provides answers on selected topics related to the use, interpretation, and calculation of trend-cycle estimates for seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment and trend-cycle estimation found in Statistics Canada publications and reference manuals.

Description: This reference document provides nontechnical answers on selected topics related to the use and interpretation of seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment found in Statistics Canada publications and reference manuals.

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.

Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.