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All (24,373) (20 to 30 of 24,373 results)

21. 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
22. Statistics Canada - Data Visualization Products
Table: 71-607-X
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.
Release date: 2024-06-25
23. Statement of government operations and balance sheet, government finance statistics
Table: 10-10-0015-01
Geography: Canada
Frequency: Quarterly
Description: Quarterly data by level of government.
Release date: 2024-06-25
24. Bank of Canada, money market and other interest rates
Table: 10-10-0139-01
Geography: Canada
Frequency: Daily
Description: This table contains 39 series, with data for starting from 1991 (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); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).
Release date: 2024-06-25
25. Monthly average retail prices for gasoline and fuel oil, by geography
Table: 18-10-0001-01
Geography: Canada, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description:
Monthly average retail prices for gasoline and fuel oil for Canada, selected provincial cities, Whitehorse and Yellowknife. Prices are presented for the current month and previous four months. Includes fuel type and the price in cents per litre.

Release date: 2024-06-25
26. Consumer Price Index, monthly, not seasonally adjusted
Table: 18-10-0004-01
Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description:
Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

Release date: 2024-06-25
27. Consumer Price Index by geography, all-items, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse, Yellowknife and Iqaluit
Table: 18-10-0004-02
Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description:
Monthly indexes and percentage changes for all components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Release date: 2024-06-25
28. Consumer Price Index, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse and Yellowknife — Food
Table: 18-10-0004-03
Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description: Monthly indexes and percentage changes for selected sub-groups of the food component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.
Release date: 2024-06-25
29. Consumer Price Index, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse and Yellowknife — Shelter
Table: 18-10-0004-04
Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description: Monthly indexes and percentage changes for selected sub-groups of the shelter component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.
Release date: 2024-06-25
30. Consumer Price Index, monthly, percentage change, not seasonally adjusted, Canada, provinces, Whitehorse and Yellowknife — Household operations, furnishings and equipment
Table: 18-10-0004-05
Geography: Canada, Province or territory, Census subdivision, Census metropolitan area, Census metropolitan area part
Frequency: Monthly
Description: Monthly indexes and percentage changes for selected sub-groups of the household operations, furnishings and equipment component of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse and Yellowknife. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.
Release date: 2024-06-25

Data (12,024)

Data (12,024) (50 to 60 of 12,024 results)

51. Production and shipments of metallic minerals, monthly
Table: 16-10-0019-01
Geography: Canada, Geographical region of Canada, Province or territory
Frequency: Monthly
Description:
This table presents a few different variables for over 50 products from the mining industry such as aluminum, cobalt, gold, iron, lead, nickel, silver, etc. The variables available in this table are the quantity produced, the quantity shipped, the closing inventories and the value of shipments. The data are published at the national, provincial and territorial levels.
Release date: 2024-06-21
52. Production and shipments of non-metallic minerals, monthly
Table: 16-10-0020-01
Geography: Canada, Geographical region of Canada, Province or territory
Frequency: Monthly
Description:
This table presents different variables for a dozen of products from the mining industry such as diamonds, clay, gypsum, lime, potash, salt, etc. The variables available in this table are the quantity produced, the quantity shipped and the value of shipments. The data are published at the national, provincial and territorial levels.
Release date: 2024-06-21
53. Value of shipments of minerals, monthly
Table: 16-10-0021-01
Geography: Canada, Geographical region of Canada, Province or territory
Frequency: Monthly
Description:
This table presents the value of shipments for multiple mining industry products such as cobalt, gold, iron, lead, platinum, titanium, zinc, diamonds, etc. The data are published at the national, provincial and territorial levels.

Release date: 2024-06-21
54. Value of shipments of critical minerals, monthly
Table: 16-10-0021-02
Geography: Canada, Geographical region of Canada, Province or territory
Frequency: Monthly
Description:
Value of shipments of critical minerals, as defined by the Critical Minerals Centre of Excellence (CMCE) at Natural Resources Canada.
Release date: 2024-06-21
55. Retail services price index, monthly
Table: 18-10-0251-01
Geography: Canada
Frequency: Monthly
Description: Retail services price index (RSPI) by North American Industry Classification System (NAICS). Monthly data are available from January 2008. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).
Release date: 2024-06-21
56. Retail services price index, percentage change, monthly
Table: 18-10-0251-02
Geography: Canada
Frequency: Monthly
Description: Retail services price index (RSPI) by North American Industry Classification System (NAICS). Monthly data are available from February 2008. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).
Release date: 2024-06-21
57. Retail services price index, food and beverage stores, monthly
Table: 18-10-0251-03
Geography: Canada
Frequency: Monthly
Description: Retail Services Price Index (RSPI) for food and beverage stores, by North American Industry Classification System (NAICS). Monthly data are available from January 2008. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).
Release date: 2024-06-21
58. Retail services price index, quarterly
Table: 18-10-0252-01
Geography: Canada
Frequency: Quarterly
Description:
Retail services price index (RSPI) by North American Industry Classification System (NAICS). Quarterly Data are available from first quarter 2008. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).
Release date: 2024-06-21
59. Retail services price index, percentage change, quarterly
Table: 18-10-0252-02
Geography: Canada
Frequency: Quarterly
Description:
Retail services price index (RSPI) by North American Industry Classification System (NAICS). Data are available from the second quarter 2009. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period for the index is (2013=100).
Release date: 2024-06-21
60. Industrial product price index, by major product group, monthly
Table: 18-10-0265-01
Geography: Canada
Frequency: Monthly
Description:
Industrial product price index (IPPI), by major product group by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).
Release date: 2024-06-21

Analysis (9,984)

Analysis (9,984) (0 to 10 of 9,984 results)

1. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
Articles and reports: 12-001-X202400100001
Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
Release date: 2024-06-25
2. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
Articles and reports: 12-001-X202400100002
Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
Release date: 2024-06-25
3. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
Articles and reports: 12-001-X202400100003
Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
Release date: 2024-06-25
4. Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data
Articles and reports: 12-001-X202400100004
Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
Release date: 2024-06-25
5. Author’s response to comments on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
Articles and reports: 12-001-X202400100005
Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
Release date: 2024-06-25
6. Comments by Takumi Saegusa on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”: Causal inference, non-probability sample, and finite population
Articles and reports: 12-001-X202400100006
Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
Release date: 2024-06-25
7. Comments by Jae Kwang Kim and Yonghyun Kwon on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
Articles and reports: 12-001-X202400100007
Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.
Release date: 2024-06-25
8. Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples
Articles and reports: 12-001-X202400100008
Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.
Release date: 2024-06-25
9. Authors’ response to comments on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
Articles and reports: 12-001-X202400100009
Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.
Release date: 2024-06-25
10. Comments by Aditi Sen on “Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith”
Articles and reports: 12-001-X202400100010
Description: This discussion summarizes the interesting new findings around measurement errors in opt-in surveys by Kennedy, Mercer and Lau (KML). While KML enlighten readers about “bogus responding” and possible patterns in them, this discussion suggests combining these new-found results with other avenues of research in nonprobability sampling, such as improvement of representativeness.
Release date: 2024-06-25

Reference (1,891)

Reference (1,891) (0 to 10 of 1,891 results)

1. Population Projections for Canada, Provinces and Territories: Technical Report on Methodology and Assumptions
Surveys and statistical programs – Documentation: 91-620-X
Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.
Release date: 2024-06-24
2. Guide to the Job Vacancy and Wage Survey, 2024
Surveys and statistical programs – Documentation: 75-514-G2024001
Description: 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.
Release date: 2024-06-18
3. Guide to the Job Vacancy and Wage Survey
Surveys and statistical programs – Documentation: 75-514-G
Description: 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
4. Latest Developments in the Canadian Economic Accounts
Notices and consultations: 13-605-X
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.
Release date: 2024-06-05
5. Regional Discussion Report: Review of First Nations, Métis and Inuit questions for the 2026 Census of Population
Notices and consultations: 41-20-00012024001
Description: 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
6. Regional discussion report: Review of First Nations, Métis and Inuit questions on the census
Notices and consultations: 41-20-0001
Description: 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
7. Canadian Research and Development Classification (CRDC)
Classification: 89-26-0004
Description: 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
8. 2026 Census of Population Content Consultation Results: What we heard from Canadians
Notices and consultations: 92-137-X2024001
Description: 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
9. Technical Reference Guides for the Education and Labour Market Longitudinal Platform (ELMLP)
Surveys and statistical programs – Documentation: 37-20-0001
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.
Release date: 2024-04-17
10. Census Program Content Consultation Report
Notices and consultations: 92-137-X
Description: 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

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