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All (166) (30 to 40 of 166 results)

31. Modernizing Construction Indicators Through Machine Learning and Satellite Imagery Archived
Articles and reports: 11-522-X202100100019
Description: Official statistical agencies must continually seek new methods and techniques that can increase both program efficiency and product relevance. The U.S. Census Bureau’s measurement of construction activity is currently a resource-intensive endeavor, relying heavily on monthly survey response via questionnaires and extensive field data collection. While our data users continually require more timely and granular data products, the traditional survey approach and associated collection cost and respondent burden limits our ability to meet that need. In 2019, we began research on whether the application of machine learning techniques to satellite imagery could accurately estimate housing starts and completions while meeting existing monthly indicator timelines at a cost equal to or less than existing methods. Using historical Census construction survey data in combination with targeted satellite imagery, the team trained, tested, and validated convolutional neural networks capable of classifying images by their stage of construction demonstrating the viability of a data science-based approach to producing official measures of construction activity.
Key Words: Official Statistics; Housing Starts, Machine Learning, Satellite Imagery
Release date: 2021-10-15
32. Theory and Application of Raking for Time Series
19-22-0007
Description:
Course Duration: 2 days
Course Cost: There is no cost for Statistics Canada employees. The cost for external participants is $200 per day.
Course Language: Offered in English and in French
Pre-requisites: Knowledge of SAS is highly recommended. Knowledge equivalent to the SAS 9 Programming 1: Essentials course is a minimum.
To familiarize participants with raking methods and software. Raking deals with the problem of restoring cross-sectional aggregation constraints in time series systems. Optionally, temporal constraints can also be preserved. We also use the words reconciliation and balancing.
Benefits to Participants: Upon completion of the course, the participants will be able to understand some of the raking techniques in use at Statistics Canada. They will acquire the technical knowledge to run PROC TSRAKING, aSAS procedure developed at Statistics Canada. The course is practical, technical and theoretical.
Course outline: Introduction; One and two dimensional raking with or without annual constraints; Alterability coefficients; Pro-rating and proportional iterative raking methods; Raking method implemented in PROC TSRAKING: numerical optimization approach with alterability coefficients; Time series system with multiple raking rules; Movement preservation.
Release date: 2021-10-13
33. Multi-year Consolidated Plan for Research, Modelling and Data Development, 2021 to 2023 Archived
Surveys and statistical programs – Documentation: 11-633-X2021005
Description:
The Analytical Studies and Modelling Branch (ASMB) is the research arm of Statistics Canada mandated 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 broad range of data sources and modelling techniques to address the information needs of a broad range of government, academic and public sector partners and stakeholders through analysis and research, modeling and predictive analytics, and data development. The branch strives to deliver relevant, high-quality, timely, comprehensive, horizontal and integrated research and to enable the use of its research through capacity building and strategic dissemination to meet the user needs of policy makers, academics and the general public.
This Multi-year Consolidated Plan for Research, Modelling and Data Development outlines the priorities for the branch over the next two years.
Release date: 2021-08-12
34. Statistics 101: Exploring measures of central tendency Archived
Stats in brief: 89-20-00062020002
Description:
This video is intended to teach viewers the differences between three fundamental statistical concepts. First, the mean, then the median and finally, the mode.
Release date: 2021-05-03
35. Statistics 101: Exploring measures of dispersion Archived
Stats in brief: 89-20-00062020003
Description:
In this module, we will explore the concept of dispersion, also called variability. This concept includes: the range, the interquartile range, the standard deviation and the normal distribution.
Release date: 2021-05-03
36. Measuring proximity to services and amenities: An experimental set of indicators for neighbourhoods and localities
Articles and reports: 18-001-X2020001
Description:
This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.
Release date: 2021-02-15
37. Study: Measuring proximity to services and amenities Archived
Stats in brief: 11-001-X202104628783
Description: Release published in The Daily – Statistics Canada’s official release bulletin
Release date: 2021-02-15
38. Statistical standards: A national research and development standard Archived
Stats in brief: 11-627-M2020072
Description:
This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.
Release date: 2020-10-05
39. What is Data? An Introduction to Data Terminology and Concepts Archived
Stats in brief: 89-20-00062020006
Description:
The data terminology and concepts covered in this video are datasets, databases, data protection, data variables, micro and macro data, and statistical information.
Release date: 2020-09-23
40. The Data Journey: What you need to know for successful navigation Archived
Stats in brief: 89-20-00062020007
Description:
In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it.
Release date: 2020-09-23

Data (1)

Data (1) ((1 result))

1. National Population Health Survey Overview Archived
Table: 82-567-X
Description:
The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.
This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.
Release date: 1998-07-29

Analysis (105)

Analysis (105) (0 to 10 of 105 results)

1. The Importance of Disaggregated Data: An Introduction (part 1)
Stats in brief: 89-20-00062024001
Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.
Release date: 2024-07-16
2. The Importance of Disaggregated Data: An Introduction (part 2)
Stats in brief: 89-20-00062024002
Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.
Release date: 2024-07-16
3. Heterogeneous causal effects of labour market programs: A machine learning approach Archived
Articles and reports: 11-522-X202200100017
Description: In this paper, we look for presence of heterogeneity in conducting impact evaluations of the Skills Development intervention delivered under the Labour Market Development Agreements. We use linked longitudinal administrative data covering a sample of Skills Development participants from 2010 to 2017. We apply a causal machine-learning estimator as in Lechner (2019) to estimate the individualized program impacts at the finest aggregation level. These granular impacts reveal the distribution of net impacts facilitating further investigation as to what works for whom. The findings suggest statistically significant improvements in labour market outcomes for participants overall and for subgroups of policy interest.
Release date: 2024-06-28
4. Statistics Canada International Symposium Series: Proceedings
Journals and periodicals: 11-522-X
Description: Since 1984, an annual international symposium on methodological issues has been sponsored by Statistics Canada. Proceedings have been available since 1987.
Release date: 2024-06-28
5. Survey Methodology
Journals and periodicals: 12-001-X
Geography: Canada
Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
Release date: 2024-06-25
6. A case study of using Splink: Census duplicate matching Archived
Articles and reports: 11-522-X202200100002
Description: The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained.
Release date: 2024-03-25
7. Record linkage techniques to identify 2021 Canadian Census dwellings in the new Statistical Building Register Archived
Articles and reports: 11-522-X202200100020
Description: The reconciliation of 2021 census dwellings with the new Statistical Building Register (SBgR) presented linkage challenges. The Census of Population collected information from various dwelling types. For a large proportion of the population, mailing addresses were at the centre: they were used for reaching out to people and collected as contact info. In parallel, the register environment has been evolving. The agency is transitioning from the Address Register (AR) to the SBgR holding both mailing and location addresses, while also covering non-residential buildings. The reconciliation was conducted using a combination of systems, notably the new Register Matching Engine (RME) for difficult cases. The RME holds an interesting range of sophisticated string comparators. A deterministic linkage approach was used, while incorporating some data knowledge like the entropy. Through metadata, the matching expert could also reduce the amounts of false positives and false negatives.
Release date: 2024-03-25
8. Are “immortals” an issue for survival estimates derived from Canadian Cancer Registry data?
Articles and reports: 82-003-X202301200002
Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
Release date: 2023-12-20
9. Statistical Methodology Research and Development Program Achievements
Journals and periodicals: 12-206-X
Description: This report summarizes the annual achievements of the Methodology Research and Development Program (MRDP) sponsored by the Modern Statistical Methods and Data Science Branch at Statistics Canada. This program covers research and development activities in statistical methods with potentially broad application in the agency’s statistical programs; these activities would otherwise be less likely to be carried out during the provision of regular methodology services to those programs. The MRDP also includes activities that provide support in the application of past successful developments in order to promote the use of the results of research and development work. Selected prospective research activities are also presented.
Release date: 2023-10-11
10. Construction of a Northern Market Basket Measure of poverty for Nunavut
Articles and reports: 75F0002M2022003
Description: This discussion paper describes the proposed methodology for a Northern Market Basket Measure (MBM-N) for Nunavut, as well as identifies research which could be conducted in preparation for the 2023 review. The paper presents initial MBM-N thresholds and provides preliminary poverty estimates for reference years 2018 to 2021. A review period will follow the release of this paper, during which time Statistics Canada and Employment and Social Development Canada will welcome feedback from interested parties and work with experts, stakeholders, indigenous organizations, federal, provincial and territorial officials to validate the results.
Release date: 2023-06-21

Reference (55)

Reference (55) (20 to 30 of 55 results)

21. Methodological Document on the 2011 Census Language Data Archived
Surveys and statistical programs – Documentation: 98-314-X2011051
Description:
Readers will find a complete analysis of factors affecting the comparability of Language results between the censuses in the Methodological Document on the 2011 Census Language Data.
Release date: 2013-05-03
22. User Guide for the Survey of Household Spending, 2011 Archived
Surveys and statistical programs – Documentation: 62F0026M2013001
Geography: Province or territory
Description:
This report describes the quality indicators produced for the 2011 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2013-01-30
23. User Guide for the Survey of Household Spending, 2010 Archived
Notices and consultations: 62F0026M2012001
Geography: Province or territory
Description:
This report describes the quality indicators produced for the 2010 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2012-04-25
24. Overview of the Census
Surveys and statistical programs – Documentation: 98-302-X
Description:
The Overview of the Census is a reference document covering each phase of the Census of Population and Census of Agriculture. It provides an overview of the 2011 Census from legislation governing the census to content determination, collection, processing, data quality assessment and data dissemination. It also traces the history of the census from the early days of New France to the present.
In addition, the Overview of the Census informs users about the steps taken to protect confidential information, along with steps taken to verify the data and minimize errors. It also provides information on the possible uses of census data and covers the different levels of geography and the range of products and services available.
The Overview of the Census may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2011 Census. The first part covers the Census of Population, while the second is about the Census of Agriculture.
Release date: 2012-02-08
25. Whole Farm Database Reference Manual Archived
Surveys and statistical programs – Documentation: 21F0005G
Description:
The Whole Farm Data Base (WFDB) is the product of a joint venture between Agriculture and Agri-Food Canada and Statistics Canada. It was developed with the intention to meet the increasing demands of users of agricultural statistics for more disaggregated data at the whole farm level. The WFDB provides the means for users to evaluate agricultural policies and programs as well as analyze the viability, stability, and competitiveness of various farm businesses.
Integrating into one base the agricultural data, which are available from administrative and survey sources, is the essence of the WFDB. It can offer users access to a wider than ever range of disaggregated physical and financial data at the farm level.
This reference manual will familiarize potential users of the WFDB with the structure of the data base and the quality of the data and give a description of the WFDB products and services that are currently available.
Release date: 2011-12-23
26. Preview of Census Products and Services
Surveys and statistical programs – Documentation: 98-300-X
Description:
The Preview of Products and Services offers an overview of the proposed products and services that will be released based on the 2011 Census of Population and 2011 Census of Agriculture results. Information will include a description of the products and services, 'What's new?' in comparison to 2006, levels of geography, availability/delivery methods, release timeframe and pricing.
The preview is an Internet product, and a PDF version is available via the Internet. This product will be updated periodically as details regarding products and services become finalized.
Release date: 2011-09-21
27. The relationship between monthly, quarterly, and annual growth rates Archived
Surveys and statistical programs – Documentation: 11-010-X201100611501
Description:
A detailed exposition of how the pattern of quarterly growth affects the average annual growth rate, including the relative importance of these quarters in determining growth These basic principles are applied to monthly and quarterly growth.
Release date: 2011-06-16
28. User Guide for the Survey of Household Spending, 2009 Archived
Surveys and statistical programs – Documentation: 62F0026M2010006
Geography: Province or territory
Description:
This report describes the quality indicators produced for the 2009 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.
Release date: 2010-12-17
29. Teacher's Guide to Data Discovery Archived
Surveys and statistical programs – Documentation: 12-593-X
Description: A guide for elementary and secondary teachers on the basic skills involved in statistical investigation: choosing the dataset, understanding data concepts and analysing the data with or without computer software.
Release date: 2010-09-24
30. Aboriginal Peoples Technical Report, 2006 Census Archived
Surveys and statistical programs – Documentation: 92-569-X
Description:
The 2006 Census Technical Report on Aboriginal Peoples deals with: (i) Aboriginal ancestry, (ii) Aboriginal identity, (iii) registered Indian status, and (iv) First Nation or Band membership. The report aims to inform users about the complexity of the data and any difficulties that could affect their use. It explains the conceptual framework and definitions used to gather the data, and it discusses factors that could affect data quality. The historical comparability of the data is also discussed.
Release date: 2010-02-09

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Date modified:: 2024-09-22

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