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Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.

Description:

This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

Description: This table contains 1812 series, with data for years 2009 – 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick;… ) Prices (3 items: Current prices; 2017 constant prices; Chained (2017) dollars) Sector (4 items: Total all sectors; Business sector; Government sector; Non-profit institutions serving households sector) Flows and stocks (3 items: Investment; Geometric depreciation; Geometric end-year net stock) Assets (7 items: Total assets; Total non-residential; Non-residential buildings; Engineering construction; ...).

Description: Quarterly income-based gross domestic product, Canada.

Description: Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.

Description: Quarterly indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.

Description: Quarterly fixed-weighted price and implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, Canada, 2017 = 100.

Description: Quarterly household final consumption expenditure components in chained (2017) and current dollars.

Description: Quarterly gross fixed capital formation components in chained (2017), current dollars and contribution to percent change.

Description: Quarterly investment in inventories components in chained (2017) and current dollars.

Description:

Revenue, expenditure and budgetary balance of provincial and territorial administration, education, health and social services sub-sectors.

Description: Annual output, intermediate consumption, and gross value added of the environmental and clean technology products sector, by goods and services category, for Canada, provinces and territories.

Description: Annual output, gross domestic product, and compensation of employees estimates of the environmental and clean technology products sector, by industry, for Canada, provinces and territories.

Description: Housing stock in units is an economic estimate of the number of housing units in Canada, the provinces and territories by institutional sector, dwelling occupation, dwelling type, and tenure type. These data are used to estimate gross domestic product by income and expenditure. The units are benchmarked to dwelling data from the census at the national, provincial and territorial levels. Dwelling type and tenure type are also aligned with census data.

Description: National data on employment in the environmental and clean technology products sector by type of worker and by demographic characteristic. This includes full-time employment and part time employment, and it includes gender, age, level of education, immigration status, indigenous identity and visible minority status by environmental and clean technology products group. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment in the environmental and clean technology products sector by demographic characteristic. This includes gender, age, level of education, immigration status, indigenous identity and visible minority status by industry. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment in the environmental and clean technology products sector, by gender, age, and demographic characteristic. This includes level of education, immigration status, indigenous identity and visible minority status by environmental and clean technology products group. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment per occupation (National Occupation Classification) in the environmental and clean technology products sector by demographic characteristic. This includes level of education, immigration status, indigenous identity and visible minority status. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: Annual expenditure-based, gross domestic product, Canada, in chained (2017) dollars, current dollars and chained (2017) dollar percentage change.

Description: This table contains estimates of gross domestic product per capita and other per capita macroeconomic indicators.

Description:

This paper provides a summary description of some of the characteristics of the proposals for new surveys submitted to Statistics Canada for review and consultation by other federal government departments. It describes which departments have been involved, gives details of the types of studies proposed and methodologies used, and deals briefly with some of the problems which the review process has uncovered.

Description:

This paper examines the effects of fertility, mortality and migration on the age profile of the Canadian population, particularly the effect of fluctuating fertility patterns which have occurred since the second World War. The author analyses the impact on social services and the economy as the shifting requirements of the “Baby Boom” cohorts move through their life cycle.

Description:

A major packaged goods manufacturer details his firm’s assemblage and application of market understanding information, impact information, market tracking, share/volume forecasting and documentation procedure.

Description:

Increasing costs without a concomitant increase in research budgets are putting severe strains on research quality. Improvements in technology, however, both in the physical domain and in the conceptual domain are sufficient to maintain research productivity at least at its prior level.

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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: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: The survey objective is to validate industry classification codes, and to obtain information required to efficiently select samples for Statistics Canada's economic survey programs. Topics studied include business activity, research and development, and capital expenditures.

Description: The Historical Database gathers the data from existing cycles of the General Social Survey (GSS) together in an easily accessed form so that researchers may follow trends in Canadian society over time.

Description: These data sets are developed for the purpose of longitudinal analysis of the Census of Agriculture for both Soil Landscapes of Canada and Drainage Area (Watershed) spatial frameworks.

Description: The Longitudinal Employment Analysis Program (LEAP) is a database that contains annual employment information for each employer business in Canada, starting with the 1983 reference year.

Description: This study will be used to determine which method would be the most effective to select households in Canada for any given survey that is conducted by Statistics Canada.