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Results
All (24,431)
All (24,431) (60 to 70 of 24,431 results)
- Table: 10-10-0144-01Geography: CanadaFrequency: WeeklyDescription: This table contains 8 series, with data starting from 1992 (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), Rates (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).Release date: 2024-08-01
- Stats in brief: 11-001-X20242133569Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-07-31
- Stats in brief: 11-001-X20242134881Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-07-31
- Public use microdata: 81M0011XDescription: This survey was designed to collect details on topics such as: i) the extent to which graduates of postsecondary programs have been successful in obtaining employment since graduation; ii) the relationship between the graduates' program of study and the employment subsequently obtained; iii) the type of employment obtained and qualification requirements; iv) sources of funding for postsecondary education; and v) government-sponsored student loans and other sources of student debt. The survey results are directed towards policy makers, researchers, educators, employers and persons interested in public postsecondary education and graduates' transition from school to work.Release date: 2024-07-31
- Table: 18-10-0212-01Geography: CanadaFrequency: MonthlyDescription:
Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.
Release date: 2024-07-31 - Table: 18-10-0212-02Geography: CanadaFrequency: MonthlyDescription:
Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The table presents month-to-month and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.
Release date: 2024-07-31 - Table: 18-10-0275-01Geography: CanadaFrequency: MonthlyDescription: Couriers and messengers services price index (CMSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2010. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2019=100).Release date: 2024-07-31
- Table: 18-10-0275-02Geography: CanadaFrequency: MonthlyDescription: Couriers and messengers services price index (CMSPI) by North American Industry Classification System (NAICS). Monthly data are available from February 2010. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2019=100).Release date: 2024-07-31
- Table: 20-10-0081-01Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: MonthlyDescription: Historical releases of retail trade sales, available for all members under release and adjustment dimensions, for Canada, provinces and territories, available on a monthly basis in dollars x 1,000.Release date: 2024-07-31
- Table: 20-10-0082-01Geography: CanadaFrequency: MonthlyDescription: Historical (real-time) releases of retail sales, price, and volume, available for all members under North American Industry Classification System (NAICS) dimension, for Canada, available on a monthly basis, seasonally adjusted, in dollars x 1,000,000.Release date: 2024-07-31
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Data (12,044)
Data (12,044) (60 to 70 of 12,044 results)
- Table: 25-10-0015-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Electricity generation by class of electricity producer (electric utilities, electricity producers, industries, etc.) and type of electricity generation (hydroelectric, combustible fuels, wind, etc.). Data are presented at the national and provincial levels, however not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0016-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Generation, receipts and deliveries of electric power, including deliveries and receipts to and from other provinces, as well as the United States. Data are presented at the national and provincial levels, however not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0036-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Data presented at the national and provincial levels for the supply of processing plant products, including propane, butane, ethane and sulphur. Not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0045-01Geography: CanadaFrequency: MonthlyDescription: Data presented at the national level by supply and disposition characteristic (supply of coal, coal coke received, etc.).Release date: 2024-07-31
- Table: 25-10-0046-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Data presented at the national and provincial levels, by coal types and uses (bituminous, sub-bituminous, etc.) and by volume of production and exports. Not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0055-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Data presented at the national and provincial levels for monthly supply and disposition of natural gas. Not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0063-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: MonthlyDescription: Supply and disposition characteristics such as production (fuels include heavy crude, synthetic crude, etc.), input to refineries, exports and others. The data are available at the national and provincial levels. Not all combinations necessarily have data for all years.Release date: 2024-07-31
- Table: 25-10-0079-01Geography: CanadaFrequency: MonthlyDescription: Monthly primary and secondary energy by fuel type in terajoules (coal, natural gas, electricity, etc.) and supply and demand characteristics (production, exports, imports, etc.) for Canada.Release date: 2024-07-31
- Table: 25-10-0081-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Data presented on petroleum and other liquids by supply and disposition characteristics (e.g., production, exports, inventories, products supplied). Not all combinations are available.Release date: 2024-07-31
- Table: 25-10-0081-02Geography: Canada, Province or territoryFrequency: MonthlyDescription: Data presented on petroleum and other liquids by supply and disposition characteristics (e.g., production, exports, inventories, products supplied). Not all combinations are available.Release date: 2024-07-31
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Analysis (10,018)
Analysis (10,018) (9,900 to 9,910 of 10,018 results)
- Articles and reports: 12-001-X198600214462Description:
In the presence of unit nonresponse, two types of variables can sometimes be observed for units in the “intended” sample s, namely, (a) variables used to estimate the response mechanism (the response probabilities), (b) variables (here called co-variates) that explain the variable of interest, in the usual regression theory sense. This paper, based on Särndal and Swensson (1985 a, b), discusses nonresponse adjusted estimators with and without explicit involvement of co-variates. We conclude that the presence of strong co-variates in an estimator induces several favourable properties. Among other things, estimators making use of co-variates are considerably more resistant to nonresponse bias. We discuss the calculation of standard error and valid confidence intervals for estimators involving co-variates. The structure of the standard error is examined and discussed.
Release date: 1986-12-15 - 9,902. Ratio estimation with subsampling the nonrespondents ArchivedArticles and reports: 12-001-X198600214463Description:
The procedure of subsampling the nonrespondents suggested by Hansen and Hurwitz (1946) is considered. Post-stratification prior to the subsampling is examined. For the mean of a characteristic of interest, ratio estimators suitable for different practical situations are proposed and their merits are examined. Suitable ratio estimators are also suggested for the situations in which the Hard-Core are present.
Release date: 1986-12-15 - 9,903. The treatment of missing survey data ArchivedArticles and reports: 12-001-X198600114404Description:
Missing survey data occur because of total nonresponse and item nonresponse. The standard way to attempt to compensate for total nonresponse is by some form of weighting adjustment, whereas item nonresponses are handled by some form of imputation. This paper reviews methods of weighting adjustment and imputation and discusses their properties.
Release date: 1986-06-16 - 9,904. On the definitions of response rates ArchivedArticles and reports: 12-001-X198600114437Description:
In this paper, different types of response/nonresponse and associated measures such as rates are provided and discussed together with their implications on both estimation and administrative procedures. The missing data problems lead to inconsistent terminology related to nonresponse such as completion rates, eligibility rates, contact rates, and refusal rates, many of which can be defined in different ways. In addition, there are item nonresponse rates as well as characteristic response rates. Depending on the uses, the rates may be weighted or unweighted.
Release date: 1986-06-16 - 9,905. Some optimality results in the presence of nonresponse ArchivedArticles and reports: 12-001-X198600114438Description:
Using the optimal estimating functions for survey sampling estimation (Godambe and Thompson 1986), we obtain some optimality results for nonresponse situations in survey sampling.
Release date: 1986-06-16 - 9,906. Basic ideas of multiple imputation for nonresponse ArchivedArticles and reports: 12-001-X198600114439Description:
Multiple imputation is a technique for handling survey nonresponse that replaces each missing value created by nonresponse by a vector of possible values that reflect uncertainty about which values to impute. A simple example and brief overview of the underlying theory are used to introduce the general procedure.
Release date: 1986-06-16 - 9,907. Imputation options in a generalized edit and imputation system ArchivedArticles and reports: 12-001-X198600114440Description:
Statistics Canada has undertaken a project to develop a generalized edit and imputation system, the intent of which is to meet the processing requirements of most of its surveys. The various approaches to imputation for item non-response, which have been proposed, will be discussed. Important issues related to the implementation of these proposals into a generalized setting will also be addressed.
Release date: 1986-06-16 - 9,908. The maximum likelihood method for non-response in sample surveys ArchivedArticles and reports: 12-001-X198600114441Description:
The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.
Release date: 1986-06-16 - 9,909. Statistical editing and imputation for periodic business surveys ArchivedArticles and reports: 12-001-X198600114442Description:
For periodic business surveys which are conducted on a monthly, quarterly or annual basis, the data for responding units must be edited and the data for non-responding units must be imputed. This paper reports on methods which can be used for editing and imputing data. The editing is comprised of consistency and statistical edits. The imputation is done for both total non-response and partial non-response.
Release date: 1986-06-16 - 9,910. Practical criteria for definition of weighting classes ArchivedArticles and reports: 12-001-X198600114443Description:
When the technique of adjustment using weighting classes is applied to compensate for the effect of non-response, several questions arise that call for precise and quantified answers: How does the choice of the variables used for definition of the classes affect total root-mean-square error, in particular non-response bias and sampling variance? What rule and what procedure should be followed in choosing the adjustment variables? On the basis of what criterion can the optimal sizes for the weighting classes be established? Finally, when this procedure is applied to compensate for non-response with respect to specific elements of a questionnaire, how can strongly correlated ancillary variables be used effectively when they themselves are affected by non-response? This article is addressed to those professionals working at a practical level who are seeking guidelines.
Release date: 1986-06-16
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Reference (1,895)
Reference (1,895) (10 to 20 of 1,895 results)
- Surveys and statistical programs – Documentation: 75-514-GDescription: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.Release date: 2024-06-18
- Notices and consultations: 13-605-XDescription: 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: 2024-06-05
- Notices and consultations: 41-20-00012024001Description: From November 2022 to March 2023 Statistics Canada undertook a series of discussions to obtain feedback on the questions used to identify First Nations people, Métis and Inuit on the Census of Population and on other Statistics Canada surveys. This report summarizes the feedback received during these discussions.Release date: 2024-05-29
- Notices and consultations: 41-20-0001Description: Engagement on the questions used to identify First Nations people, Métis and Inuit that are included on the Census of Population and on other Statistics Canada surveys is an important part of ensuring high quality and meaningful data are collected. The feedback received during these discussions are presented in these reports.Release date: 2024-05-29
- Classification: 89-26-0004Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).Release date: 2024-04-30
- Notices and consultations: 92-137-X2024001Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector. This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.Release date: 2024-04-17
- Surveys and statistical programs – Documentation: 37-20-0001Description: 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.Release date: 2024-04-17
- Notices and consultations: 92-137-XDescription: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.Release date: 2024-04-17
- Surveys and statistical programs – Documentation: 72-203-GDescription: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.Release date: 2024-03-28
- Surveys and statistical programs – Documentation: 81-582-GDescription: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.
The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.
Release date: 2024-03-28
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