Analysis

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This report explores the statistical and analytical potential of information on the language-related characteristics of occupations provided by the Occupational and Skills Information System (OaSIS). OaSIS is an information system developed by Employment and Social Development Canada (ESDC) which provides detailed information on occupations. The report identifies and explores a series of descriptors of occupations related to skills, work activities and work contexts that have a language- or communication-related aspect. These descriptors of occupations are used to enrich data from the 2021 Census.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.

Description: This study uses various demographic scenarios to examine the effects of different immigration levels and labour force participation rates on the size and composition of the Canadian labour force to 2041. These scenarios take into account the targets of the 2024–2026 Immigration Levels Plan, published in November 2023 by Immigration, Refugees and Citizenship Canada, as well as recent demographic developments, such as those related to the COVID-19 pandemic and the increase in the number of permanent and temporary immigrants admitted to Canada in 2022 and 2023.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: The paper focuses on the subset of short-term rentals (STRs) that could potentially serve as long-term housing. This subset of STRs, referred to as potential long-term dwellings (PLTDs), is intended to capture STR units that are not serving as anyone’s primary residence, but could potentially function as long-term housing (either as owner-occupied or rental units). The PLTD subset is compared with total housing units (owned or rented) at the national, provincial and territorial levels, as well as in major census metropolitan areas and in tourist areas.

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This release provides a provincial distribution of the research and development activity in the ten provinces.

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This service bulletin presents the geographic distribution of federal government science and technology expenditures. The distribution is done every two years and the previous data available are for the period 1992-93.

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The Higher Education sector is composed of "all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status.

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This service bulletin presents the geographic distribution of federal government science and technology expenditures.

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Gross domestic expenditures on research and development (GERD) represents total R&D expenditures performed in a country's national territory during a given year.

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Since the late seventies, 25 to 29 year-olds with only a secondary school education have had more difficulty finding employment, and much more difficulty obtaining well-paid work. A glance at the changes over time in the labour market "success" of 25 to 29 year-old secondary school graduates.

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Following normal practice, the annual revision of the National Economic and Financial Accounts has been carried out and the revised estimates have been released along with those for the first quarter of 1995. This annual revision of the different parts of the System of National Accounts is an integrated process, with revised estimates of the Income and Expenditure Accounts, Financial Flow Accounts and the Balance of International Payments being released simultaneously. Corresponding revisions to the monthly estimates of gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be completed in August.

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A comparison of the employment characteristics of women born in the early years of the baby boom with those of women born in the later years.

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There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

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Revised estimates of the Income and Expenditure Accounts (IEA) covering 1990 to 1993 have been released along with the estimates for the first quarter of 1994. These revised estimates reflect the most current source data and seasonal patterns. The annual revision of the different parts of the System of National Accounts is an integrated process. Revised estimates of two other parts of the system, the Balance of International Payments and Financial Flow Accounts, have been released simultaneously. Corresponding revisions to the monthly estimates of the gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be available at the end of August.

The first section of this paper reviews the current revisions to the GDP and the main aggregates. The second section analyses the revision patterns of selected income and expenditure aggregates of the GDP over the period 1980 to 1993. For further information on sources, methods and definitions employed in the IE A, refer to the Guide to the Income and Expenditure Accounts, Catalogue no. 13-603E, no. 1.

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.

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.

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.

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.

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.

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.

Description: Kennedy, Mercer, and Lau explore misreporting by respondents in non-probability samples and discover a new feature, namely that of deliberate misreporting of demographic characteristics. This finding suggests that the “arms race” between researchers and those determined to disrupt the practice of social science is not over and researchers need to account for such respondents if using high-quality probability surveys to help reduce error in non-probability samples.

Description: Nonprobability samples are quick and low-cost and have become popular for some types of survey research. Kennedy, Mercer and Lau examine data quality issues associated with opt-in nonprobability samples frequently used in the United States. They show that the estimates from these samples have serious problems that go beyond representativeness. A total survey error perspective is important for evaluating all types of surveys.

Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.

Description: This paper is an introduction to the special issue on the use of nonprobability samples featuring three papers that were presented at the 29^th Morris Hansen Lecture by Courtney Kennedy, Yan Li and Jean-François Beaumont.

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The Geography working paper series is intended to stimulate discussion on a variety of topics covering conceptual, methodological or technical work to support the development and dissemination of the division's data, products and services. Readers of the series are encouraged to contact the Geography Division with comments and suggestions.

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As Statistics Canada celebrates a significant milestone in 2018, it is time to take a look back at our history to see where we have been and what we have done over the past century. At the same time, it is a chance to reflect on where the agency is headed in the future. This series of articles shows how our work has evolved since 1918: where we started, how we have evolved and what we do now.

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This series of analytical reports provides an overview of the Canadian labour market experiences of immigrants to Canada, based on data from the Labour Force Survey. These reports examine the labour force characteristics of immigrants, by reporting on employment and unemployment at the Canada level, for the provinces and large metropolitan areas. They also provide more detailed analysis by region of birth, as well as in-depth analysis of other specific aspects of the immigrant labour market.

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Historical works allow readers to peer into the past, not only to satisfy our curiosity about “the way things were,” but also to see how far we’ve come, and to learn from the past. For Statistics Canada, such works are also opportunities to commemorate the agency’s contributions to Canada and its people, and serve as a reminder that an institution such as this continues to evolve each and every day.

On the occasion of Statistics Canada’s 100th anniversary in 2018, Standing on the shoulders of giants: History of Statistics Canada: 1970 to 2008, builds on the work of two significant publications on the history of the agency, picking up the story in 1970 and carrying it through the next 36 years, until 2008. To that end, when enough time has passed to allow for sufficient objectivity, it will again be time to document the agency’s next chapter as it continues to tell Canada’s story in numbers.

Description: This publication presents an overview of recent economic developments in the provinces and territories. The overview covers several broad areas: 1) gross domestic product (GDP) by income and by expenditure, 2) GDP by industry, 3) labour productivity and other related variables.

The publication examines trends in the major aggregates that comprise GDP, both income- and expenditure-based, as well as prices and the financing of economic activity by institutional sector. GDP is also examined by industry. The productivity estimates are meant to assist in the analysis of the short-run relationship among the fluctuations of output, employment, compensation and hours worked. Some issues also contain more technical articles, explaining national accounts methodology or analysing a particular aspect of the economy.

This publication carries the detailed analyses, charts and statistical tables that, prior to its first issue, were released in The Daily (11-001-XIE) under the headings Provincial Economic Accounts and Provincial Gross Domestic Product by industry.

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Understanding the role of women in Canadian society and how it has changed over time is dependent on having information that can begin to shed light on the diverse circumstances and experiences of women. Women in Canada provides an unparalleled compilation of data related to women's family status, education, employment, economic well-being, unpaid work, health, and more.

Women in Canada allows readers to better understand the experience of women compared to that of men. Recognizing that women are not a homogenous group and that experiences differ not only across gender but also within gender groups, Women in Canada includes chapters on immigrant women, women in a visible minority, Aboriginal women, senior women, and women with participation and activity limitations.

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The publication provides data users, health professionals and individual Canadians with geometric means and selected percentiles of blood and urine concentrations of selected environmental chemicals for the Canadian population by sex and age group. The results presented in this publication were collected during cycle 4 of the Canadian Health Measures Survey from January 2014 to December 2015.

Description: In 2018, Statistics Canada will celebrate its 100th anniversary. As we count down to this important milestone, we would like to use our data to highlight some of the sweeping changes that have had a lasting impact on Canadian society and economy.

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The Record Linkage Project Process Model (RLPPM) was developed by Statistics Canada to identify the processes and activities involved in record linkage. The RLPPM applies to linkage projects conducted at the individual and enterprise level using diverse data sources to create new data sources to meet analytical and operational needs.

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Each issue of Health at a Glance consists of a short non-technical article on topics that feature statistics from health-related surveys and administrative data.