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All (16) (0 to 10 of 16 results)
- Articles and reports: 36-28-0001202300700003Description: Before the onset of the COVID-19 pandemic, rapid advances in automation and artificial intelligence were often featured in discussions around the changing nature of work. The concern, which is still present today, centred around the possibility that machines and robots could perform certain tasks more efficiently than humans. The purpose of this study is to update the trends in the changing nature of work with new data covering the pandemic period (up to and including 2022).Release date: 2023-07-26
- Articles and reports: 36-28-0001202100600004Description:
Recent advances in artificial intelligence and robotics have led to a higher risk of job loss or job transformation among certain groups of workers. Moreover, the COVID-19 pandemic has shown that workers whose job can be done from home, involves sufficient physical distancing, or is deemed essential by authorities enjoy greater job security than other workers during a lockdown. In light of these two developments, it is important to identify which groups of Canadian workers might enjoy the highest or lowest level of job security in upcoming years. To do so, this study develops a forward-looking measure of job security by estimating the proportion of Canadian employees who hold ‘triple-protected’ jobs, or jobs that (a) have no predetermined end date; (b) have a low risk of being lost or transformed due to automation; and (c) are resilient to pandemics.
Release date: 2021-06-23 - Articles and reports: 36-28-0001202100400006Description:
Different sectors of the economy present different levels of risk of exposure to the coronavirus. Information about this risk may be important for evidence-based decision-making about how and when to impose or ease restrictions on businesses. To respond to this need, a network of academic researchers across Canada developed a new tool to measure the risk of COVID-19 exposure by occupation, and the importance of different sectors to the economy.
Release date: 2021-04-28 - Articles and reports: 36-28-0001202100100003Description:
This Insights article examines changes in parental expectations—between before and after the beginning of the COVID-19 lockdown—that their children will pursue postsecondary education. The study looks at whether parental expectations of their children to attain further education and their plans for helping their children with the financial aspects of postsecondary education—through savings and other means—have changed since the arrival of COVID-19. The analysis is based on the Survey of Approaches to Educational Planning (SAEP), conducted between February 2 and June 20, 2020. The sample includes children aged 17 and younger who had not yet started any postsecondary education and whose parent or legal guardian responded to the survey.
Release date: 2021-01-27 - Stats in brief: 45-28-0001202100100002Description:
This article examines whether parental expectations of their children to attain further education and their plans for helping their children with the financial aspects of postsecondary education—through savings and other means—have changed since the arrival of COVID-19. The analysis is based on the Survey of Approaches to Educational Planning (SAEP), conducted between February 2 and June 20, 2020.
Release date: 2021-01-27 - Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24 - Stats in brief: 45-28-0001202000100063Description:
The COVID-19 pandemic has already resulted in a considerable slowdown in economic activity in Canada. Young people have been hit particularly hard. This article presents estimates of the cumulative earnings losses in the first five years after graduation that this year's graduating class could experience, depending on the depth of the economic downturn. Specifically, five scenarios for this year's youth unemployment rate are examined.
Release date: 2020-07-28 - Articles and reports: 11-626-X2020012Description:
In this Economic Insights article, the potential earnings losses experienced by this year’s class of high school and postsecondary graduates as a result of COVID-19 are simulated. These graduates may face very challenging conditions as they enter the labour market, which could have long-term ramifications for their earnings prospects. Consequently, earnings losses are simulated up to five years after graduation, based on various scenarios of this year’s youth unemployment rate.
Release date: 2020-07-28 - 9. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.
Release date: 2020-06-29 - Articles and reports: 11F0019M2020011Description:
The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.
Release date: 2020-06-29
Stats in brief (5)
Stats in brief (5) ((5 results))
- Stats in brief: 45-28-0001202100100002Description:
This article examines whether parental expectations of their children to attain further education and their plans for helping their children with the financial aspects of postsecondary education—through savings and other means—have changed since the arrival of COVID-19. The analysis is based on the Survey of Approaches to Educational Planning (SAEP), conducted between February 2 and June 20, 2020.
Release date: 2021-01-27 - Stats in brief: 45-28-0001202000100063Description:
The COVID-19 pandemic has already resulted in a considerable slowdown in economic activity in Canada. Young people have been hit particularly hard. This article presents estimates of the cumulative earnings losses in the first five years after graduation that this year's graduating class could experience, depending on the depth of the economic downturn. Specifically, five scenarios for this year's youth unemployment rate are examined.
Release date: 2020-07-28 - 3. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.
Release date: 2020-06-29 - 4. Which postsecondary programs had high levels of international student enrolment prior to COVID-19? ArchivedStats in brief: 45-28-0001202000100032Description:
To provide insights into how COVID-19 could potentially impact postsecondary institutions, this article provides estimates of the share of enrolments that were international by academic program and source country prior to COVID-19 based on the Postsecondary Student Information System (PSIS).
Release date: 2020-06-15 - Stats in brief: 45-28-0001202000100001Description:
This article discusses the potential impact of recent school closures on learning and academic performance of school children as it relates to the COVID-19 pandemic.
Release date: 2020-04-15
Articles and reports (11)
Articles and reports (11) (0 to 10 of 11 results)
- Articles and reports: 36-28-0001202300700003Description: Before the onset of the COVID-19 pandemic, rapid advances in automation and artificial intelligence were often featured in discussions around the changing nature of work. The concern, which is still present today, centred around the possibility that machines and robots could perform certain tasks more efficiently than humans. The purpose of this study is to update the trends in the changing nature of work with new data covering the pandemic period (up to and including 2022).Release date: 2023-07-26
- Articles and reports: 36-28-0001202100600004Description:
Recent advances in artificial intelligence and robotics have led to a higher risk of job loss or job transformation among certain groups of workers. Moreover, the COVID-19 pandemic has shown that workers whose job can be done from home, involves sufficient physical distancing, or is deemed essential by authorities enjoy greater job security than other workers during a lockdown. In light of these two developments, it is important to identify which groups of Canadian workers might enjoy the highest or lowest level of job security in upcoming years. To do so, this study develops a forward-looking measure of job security by estimating the proportion of Canadian employees who hold ‘triple-protected’ jobs, or jobs that (a) have no predetermined end date; (b) have a low risk of being lost or transformed due to automation; and (c) are resilient to pandemics.
Release date: 2021-06-23 - Articles and reports: 36-28-0001202100400006Description:
Different sectors of the economy present different levels of risk of exposure to the coronavirus. Information about this risk may be important for evidence-based decision-making about how and when to impose or ease restrictions on businesses. To respond to this need, a network of academic researchers across Canada developed a new tool to measure the risk of COVID-19 exposure by occupation, and the importance of different sectors to the economy.
Release date: 2021-04-28 - Articles and reports: 36-28-0001202100100003Description:
This Insights article examines changes in parental expectations—between before and after the beginning of the COVID-19 lockdown—that their children will pursue postsecondary education. The study looks at whether parental expectations of their children to attain further education and their plans for helping their children with the financial aspects of postsecondary education—through savings and other means—have changed since the arrival of COVID-19. The analysis is based on the Survey of Approaches to Educational Planning (SAEP), conducted between February 2 and June 20, 2020. The sample includes children aged 17 and younger who had not yet started any postsecondary education and whose parent or legal guardian responded to the survey.
Release date: 2021-01-27 - Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24 - Articles and reports: 11-626-X2020012Description:
In this Economic Insights article, the potential earnings losses experienced by this year’s class of high school and postsecondary graduates as a result of COVID-19 are simulated. These graduates may face very challenging conditions as they enter the labour market, which could have long-term ramifications for their earnings prospects. Consequently, earnings losses are simulated up to five years after graduation, based on various scenarios of this year’s youth unemployment rate.
Release date: 2020-07-28 - Articles and reports: 11F0019M2020011Description:
The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.
Release date: 2020-06-29 - Articles and reports: 11-626-X2020003Description:
This Economic Insights article discusses the share of postsecondary enrolments that are international by program of study and source country. Given the ongoing uncertainties around the COVID-19 pandemic, including the new public health restrictions imposed on international travel and physical distancing guidelines affecting classroom structures, the share of enrolments in various academic programs that are international is of high relevance at the moment.
Release date: 2020-06-15 - Articles and reports: 11-626-X2020001Description:
This Economic Insights article discusses the potential impact of recent school closures on learning and academic performance of school children as it relates to the COVID-19 pandemic. To benefit from online resources, students require access to internet-enabled devices that are suitable for learning. The article estimates the percentage of households with children under the age of 18 with access to these learning tools by level of household income, and also discusses the potential impact of receiving no instruction on academic performance based on an earlier Statistics Canada study.
Release date: 2020-04-15 - Articles and reports: 11F0019M2019008Description:
Increasing women’s participation in male-dominated trades has been identified as a means of improving the supply of skilled tradespersons in Canada, creating a more diverse workforce, and increasing women’s wages. However, little information exists about women’s decision to enter male-dominated apprenticeship programs and their subsequent labour market outcomes. This study addresses both information gaps by examining the characteristics associated with women selecting male-dominated apprenticeship programs and their labour market outcomes relative to men who selected the same types of programs.
Release date: 2019-03-13
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