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Statistics Canada's Trust Centre

Results

All (48)

All (48) (0 to 10 of 48 results)

1. Technology adoption by women-owned businesses in Canada
Articles and reports: 36-28-0001202400800003
Description: Technology adoption is essential for improving the growth, productivity and competitiveness of businesses. This paper links two cycles (2017 and 2019) of the Survey of Innovation and Business Strategy with the Canadian Employer–Employee Dynamics Database to study the use of advanced and emerging technologies by women- and men-owned businesses in Canada.
Release date: 2024-08-28
2. Robotics Technologies Adoption: Insights from the Survey of Advanced Technology
Articles and reports: 22-20-00012024004
Description: In an age defined by innovation and technological advancement, robotics stands at the forefront of transformative change. This analysis uses the Survey of Advanced Technology (SAT) to examine and characterize the adoption of robotics technologies, the performance of robotics technologies adopters, the challenges encountered during the adoption process, and the strategies employed to overcome these challenges in Canadian businesses.
Release date: 2024-08-28
3. Extent and socioeconomic correlates of small area variations in life expectancy in Canada and the United States
Articles and reports: 82-003-X202400800001
Description: An extensive literature shows wide variations in life expectancy (LE) across various subnational geographic areas. However, little is known about these variations across very small levels of geographic disaggregation in Canada. This study expands the boundaries for such analyses by focusing on metropolitan areas, allowing an examination of small area variations in LE that cannot be ascribed to provincial or federal-level health, social, and other policies and programs, as more than one metropolitan area per province can be studied.
Release date: 2024-08-21
4. Why Economists Are Sounding the Alarm on Productivity
Stats in brief: 45-20-00032024005
Description: Canada's workforce is among the most educated in the world. But when it comes to worker productivity, we've seen a real slump over the past few years. The quarterly data published by StatCan in June 2024 confirms Canadian workers are continuing to underperform compared to our neighbours to the south. This comes as no surprise to this episode's guest, Guy Gellatly, Chief Economic Advisor at StatCan. The latest quarterly numbers are a continuation of an ongoing decline in Canada's productivity that economists have been tracking for years.
But what factors influence worker productivity? And why does it matter if Canadians are less productive? As a matter of face, what even is productivity? In this episode, we asked Guy to help us understand how we got to this point and why it matters for Canadians.
Release date: 2024-08-14
5. Foreign workers in Canada: Differences in the transition to permanent residency across work permit programs
Articles and reports: 36-28-0001202400600001
Description: Obtaining a work permit enables foreign nationals to work in Canada temporarily, and for many individuals, this serves as a stepping stone toward obtaining permanent residency (PR). This article examines the recent changes in the transition to PR across work permit programs and immigration pathways for individuals who have made the transition. The analysis focuses on work permit holders who are in Canada for work purposes under either the Temporary Foreign Worker Program (TFWP) or the International Mobility Program (IMP).
Release date: 2024-06-26
6. New businesses since the beginning of the COVID-19 pandemic
Articles and reports: 36-28-0001202400600003
Description: Businesses have faced numerous challenges since the beginning of the COVID-19 pandemic. Public health restrictions on business and personal activities aimed at stopping the spread of the virus were associated with a slowing of economic activity. This article examines how new businesses that entered after the beginning of the pandemic fared compared with previous entry cohorts.
Release date: 2024-06-26
7. Socioeconomic profile of working-age immigrants in same-sex couples in Canada from 2000 to 2020
Articles and reports: 36-28-0001202400600005
Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.
Release date: 2024-06-26
8. 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
9. 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
10. 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

Stats in brief (9)

Stats in brief (9) ((9 results))

1. Why Economists Are Sounding the Alarm on Productivity
Stats in brief: 45-20-00032024005
Description: Canada's workforce is among the most educated in the world. But when it comes to worker productivity, we've seen a real slump over the past few years. The quarterly data published by StatCan in June 2024 confirms Canadian workers are continuing to underperform compared to our neighbours to the south. This comes as no surprise to this episode's guest, Guy Gellatly, Chief Economic Advisor at StatCan. The latest quarterly numbers are a continuation of an ongoing decline in Canada's productivity that economists have been tracking for years.
But what factors influence worker productivity? And why does it matter if Canadians are less productive? As a matter of face, what even is productivity? In this episode, we asked Guy to help us understand how we got to this point and why it matters for Canadians.
Release date: 2024-08-14
2. It's Not Easy Bein' Green
Stats in brief: 45-20-00032024004
Description: We can try our best, but its not always easy knowing what's best for the environment. The world is complicated, and it isn't as simple as reduce, reuse, recycle—though that's a great place to start! In the immortal words of Kermit the Frog, "It's not easy bein' green."
We have two stories exploring that theme. The first is one we made in-house asking just how green our digital world really is, and the second comes from the Simply Science podcast exploring the world of urban forests.
Release date: 2024-06-06
3. How does teleworking impact time use?
Stats in brief: 11-627-M2024024
Description: Using data from the 2022 Time Use Survey, this infographic provides highlights from the study “Telework, time use, and well-being: Evidence from the 2022 Time Use Survey.” Data about the differences in time use between teleworkers and non-teleworkers are shown, particularly where time saved on the commute to and from work is reallocated to other activities such as time spent with children. The infographic also shows the differences in satisfaction with work-life balance when comparing the two groups.
Release date: 2024-06-05
4. Partners’ uptake of parental benefits: An upward trend?
Stats in brief: 89-28-0001202200100010
Description: Using the Employment Insurance Coverage Survey, this paper studies the share of spouses or partners of biological or adoptive mothers who claimed or intended to claim parental benefits from 2006 to 2022.
Release date: 2024-05-15
5. Why Food Inflation Is Such A Hard Nut To Crack
Stats in brief: 45-20-00032024003
Description: Are you feeling like it's a little bit harder to bring home the bacon... from the grocery store? The latest data indicate that food prices have mostly stabilized... but why does it feel like the cost of feeding your family is still going up? Today, we're talking food inflation with StatCan's resident smart cookie Taylor Mitchell.
Release date: 2024-05-08
6. It's 8pm... Do You Know What Your Kids Are Googling?
Stats in brief: 45-20-00032024002
Description: StatCan released new analysis into the online culture our kids are growing up in, and it’s far from the best of all possible worlds: misinformation, bullying, violence… and worse.
Analyst Rachel Tsitomeneas joins us to dive into the findings.
Release date: 2024-04-12
7. How do you say “language revitalization” in Cree?
Stats in brief: 45-20-00032024001
Description: More than 70 distinct Indigenous languages are spoken by First Nations people, Métis and Inuit in Canada, but these languages are under threat. In this episode, we speak with Randy Morin and Belinda kakiyosew Daniels, who share their knowledge of the Cree language with learners at the Nêhiyawak Language Experience, about the wisdom encoded in Indigenous languages, as well as the opportunities for these languages and the barriers they face.
Release date: 2024-03-28
8. Gender representation among Canadian members of Parliament and Cabinet
Stats in brief: 11-627-M2024001
Description: This infographic presents data on the gender representation of Federal Members of Parliament from 1997 to 2023 and Federal Members of Cabinet from 2002 to 2023 in Canada’s provinces and territories.
Release date: 2024-03-08
9. Participation in French immersion, bilingualism and the use of French in adulthood, 2021
Stats in brief: 98-200-X2021018
Description: This article offers an initial in-depth analysis of participation in French immersion programs in Canada outside Quebec, based on 2021 Census data. This analysis examines factors that may be related to availability of French immersion programs and choosing of these programs. In addition, it looks at the possible links between schooling in a French immersion program and English–French bilingualism as well as the use of French at home or at work in adulthood.
Release date: 2024-02-28

Articles and reports (39)

Articles and reports (39) (0 to 10 of 39 results)

1. Technology adoption by women-owned businesses in Canada
Articles and reports: 36-28-0001202400800003
Description: Technology adoption is essential for improving the growth, productivity and competitiveness of businesses. This paper links two cycles (2017 and 2019) of the Survey of Innovation and Business Strategy with the Canadian Employer–Employee Dynamics Database to study the use of advanced and emerging technologies by women- and men-owned businesses in Canada.
Release date: 2024-08-28
2. Robotics Technologies Adoption: Insights from the Survey of Advanced Technology
Articles and reports: 22-20-00012024004
Description: In an age defined by innovation and technological advancement, robotics stands at the forefront of transformative change. This analysis uses the Survey of Advanced Technology (SAT) to examine and characterize the adoption of robotics technologies, the performance of robotics technologies adopters, the challenges encountered during the adoption process, and the strategies employed to overcome these challenges in Canadian businesses.
Release date: 2024-08-28
3. Extent and socioeconomic correlates of small area variations in life expectancy in Canada and the United States
Articles and reports: 82-003-X202400800001
Description: An extensive literature shows wide variations in life expectancy (LE) across various subnational geographic areas. However, little is known about these variations across very small levels of geographic disaggregation in Canada. This study expands the boundaries for such analyses by focusing on metropolitan areas, allowing an examination of small area variations in LE that cannot be ascribed to provincial or federal-level health, social, and other policies and programs, as more than one metropolitan area per province can be studied.
Release date: 2024-08-21
4. Foreign workers in Canada: Differences in the transition to permanent residency across work permit programs
Articles and reports: 36-28-0001202400600001
Description: Obtaining a work permit enables foreign nationals to work in Canada temporarily, and for many individuals, this serves as a stepping stone toward obtaining permanent residency (PR). This article examines the recent changes in the transition to PR across work permit programs and immigration pathways for individuals who have made the transition. The analysis focuses on work permit holders who are in Canada for work purposes under either the Temporary Foreign Worker Program (TFWP) or the International Mobility Program (IMP).
Release date: 2024-06-26
5. New businesses since the beginning of the COVID-19 pandemic
Articles and reports: 36-28-0001202400600003
Description: Businesses have faced numerous challenges since the beginning of the COVID-19 pandemic. Public health restrictions on business and personal activities aimed at stopping the spread of the virus were associated with a slowing of economic activity. This article examines how new businesses that entered after the beginning of the pandemic fared compared with previous entry cohorts.
Release date: 2024-06-26
6. Socioeconomic profile of working-age immigrants in same-sex couples in Canada from 2000 to 2020
Articles and reports: 36-28-0001202400600005
Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.
Release date: 2024-06-26
7. 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
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. Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith
Articles and reports: 12-001-X202400100013
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.
Release date: 2024-06-25

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Date modified:: 2024-09-18