Unemployment

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Type

1 facets displayed. 1 facets selected.

Geography

2 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (48)

All (48) (0 to 10 of 48 results)

  • Articles and reports: 36-28-0001202300500001
    Description: The increase in the number of job vacancies observed in Canada over the last few years has attracted considerable attention. This article provides new insights on this issue by comparing the number of job vacancies requiring a given education level with the number of unemployed individuals with such education.
    Release date: 2023-05-24

  • Articles and reports: 36-28-0001202201100003
    Description:

    Workers who experience a permanent layoff (a job loss not followed by rejoining the same firm in the current or subsequent year) are often affected financially for several years. Based on the Longitudinal Worker File, the Postsecondary Student Information System, the 2006 Census of Population, and the T1 Family File the study examines the extent to which enrolling in or graduating from short, career-oriented programs or taking independent credits is associated with more favourable post-displacement earnings patterns compared to not enrolling at all.

    Release date: 2022-11-23

  • Articles and reports: 11-522-X202100100004
    Description:

    With labour market uncertainty increasing across Canada, there is a need for innovative ways to help displaced workers to re-skill/up-skill and potentially pivot to in-demand occupations. In our study, we present a unique approach to bridge the gap between the displaced and in-demand occupations and provide a machine learning framework that may be able to forecast employment by NAICS for 6 months. We have combined the monthly employment data from Statistics Canada’s Survey of Employment and Payroll Hours, and the monthly job ads counts from Burning Glass to achieve our goal. Our approach consists of three steps: 1.        Finding the displaced occupations in Alberta over the last 7 years based on the integrated actual employment and job ads count data. Step. 2. Using the list of displaced occupations, a unique pivot graph is developed to map a displaced occupation to a list of in-demand occupations which have skills similar to the chosen displaced occupation. Step 3.  Applying SARIMA and SARIMAX models to forecast employment for 6 months. The above approaches are aimed at assisting public policy and planning

    Key Words: Employment; Labour Market; Job Ads; Skills; Time Series Analysis; Forecasting.

    Release date: 2021-10-15

  • Articles and reports: 36-28-0001202100200002
    Description:

    This Insights article examines the degree to which workers who lost their job in 2009 started a business, changed regions, went back to school or began a registered apprenticeship in 2010, the year following job loss. The analysis combines the 2001 Census of Population with Statistics Canada’s Longitudinal Worker File and Registered Apprenticeship Information System.

    Release date: 2021-02-24

  • Articles and reports: 71-222-X2019001
    Description:

    This article examines the activities during the 12 months prior to September 2018 for 15- to 29-year-olds who were not in employment, education or training (NEET) in that month. The analysis is based on the one-time addition of questions on this topic to the Labour Force Survey in September 2018. At that time, 11.3% of young Canadians between 15 and 29 were NEET.

    Release date: 2019-02-13

  • Articles and reports: 11F0019M2018408
    Description:

    This paper investigates the effect of unemployment on life satisfaction from a comparative perspective. It also tests whether the link between unemployment and life satisfaction is moderated or reinforced by contextual unemployment across regions within a country—either through a negative spillover or a positive social-norm effect, or both.

    Release date: 2018-07-31

  • Articles and reports: 11-626-X2017076
    Description:

    Despite a long-standing interest in labour mobility among researchers and policy makers, relatively little has been known about the barriers impeding the mobility of unemployed Canadians. Using data from the 2016 General Social Survey, this study informs this discussion. It provides, for the first time in Canada, representative survey-based information on barriers to labour mobility collected directly from unemployed individuals aged 15 to 64 who were not students.

    Release date: 2017-11-17

  • Articles and reports: 75-006-X201700154878
    Description:

    This study provides additional insight into labour demand and supply based on the joint availability of job vacancy and unemployment data over the past two years (2015 and 2016). Specifically, it uses data from the Job Vacancy and Wage Survey (JVWS) and Labour Force Survey (LFS) to answer the following questions: To what extent are job vacancies and unemployment related? What can the unemployment-to-job-vacancy ratio tell us? To what extent do occupations differ in their relative degree of being slack (more workers than jobs) or tight (more jobs than workers)? How does the unemployment-to-job-vacancy ratio differ by education level?

    Release date: 2017-11-01

  • Articles and reports: 75-006-X201500114155
    Description:

    Using data from the Longitudinal Administrative Databank (LAD), this study examines whether the expected retirement age varies according to the unemployment rate of the economic region. In addition, the study verifies if the relationship between the unemployment rate of the economic region and the probability of permanent retirement remains when other factors are accounted for.

    Release date: 2015-04-22

  • Articles and reports: 75-004-M2015002
    Description:

    Using the Longitudinal Administrative Dababank (LAD), this study examines how the expected retirement age varies according to the unemployment rate of the economic regions (ER). Using a survival model, the study also verifies if workers in ER, with a high unemployment rate, are more likely to retire at a younger age.

    Release date: 2015-04-22
Data (0)

Data (0) (0 results)

No content available at this time.

Analysis (48)

Analysis (48) (0 to 10 of 48 results)

  • Articles and reports: 36-28-0001202300500001
    Description: The increase in the number of job vacancies observed in Canada over the last few years has attracted considerable attention. This article provides new insights on this issue by comparing the number of job vacancies requiring a given education level with the number of unemployed individuals with such education.
    Release date: 2023-05-24

  • Articles and reports: 36-28-0001202201100003
    Description:

    Workers who experience a permanent layoff (a job loss not followed by rejoining the same firm in the current or subsequent year) are often affected financially for several years. Based on the Longitudinal Worker File, the Postsecondary Student Information System, the 2006 Census of Population, and the T1 Family File the study examines the extent to which enrolling in or graduating from short, career-oriented programs or taking independent credits is associated with more favourable post-displacement earnings patterns compared to not enrolling at all.

    Release date: 2022-11-23

  • Articles and reports: 11-522-X202100100004
    Description:

    With labour market uncertainty increasing across Canada, there is a need for innovative ways to help displaced workers to re-skill/up-skill and potentially pivot to in-demand occupations. In our study, we present a unique approach to bridge the gap between the displaced and in-demand occupations and provide a machine learning framework that may be able to forecast employment by NAICS for 6 months. We have combined the monthly employment data from Statistics Canada’s Survey of Employment and Payroll Hours, and the monthly job ads counts from Burning Glass to achieve our goal. Our approach consists of three steps: 1.        Finding the displaced occupations in Alberta over the last 7 years based on the integrated actual employment and job ads count data. Step. 2. Using the list of displaced occupations, a unique pivot graph is developed to map a displaced occupation to a list of in-demand occupations which have skills similar to the chosen displaced occupation. Step 3.  Applying SARIMA and SARIMAX models to forecast employment for 6 months. The above approaches are aimed at assisting public policy and planning

    Key Words: Employment; Labour Market; Job Ads; Skills; Time Series Analysis; Forecasting.

    Release date: 2021-10-15

  • Articles and reports: 36-28-0001202100200002
    Description:

    This Insights article examines the degree to which workers who lost their job in 2009 started a business, changed regions, went back to school or began a registered apprenticeship in 2010, the year following job loss. The analysis combines the 2001 Census of Population with Statistics Canada’s Longitudinal Worker File and Registered Apprenticeship Information System.

    Release date: 2021-02-24

  • Articles and reports: 71-222-X2019001
    Description:

    This article examines the activities during the 12 months prior to September 2018 for 15- to 29-year-olds who were not in employment, education or training (NEET) in that month. The analysis is based on the one-time addition of questions on this topic to the Labour Force Survey in September 2018. At that time, 11.3% of young Canadians between 15 and 29 were NEET.

    Release date: 2019-02-13

  • Articles and reports: 11F0019M2018408
    Description:

    This paper investigates the effect of unemployment on life satisfaction from a comparative perspective. It also tests whether the link between unemployment and life satisfaction is moderated or reinforced by contextual unemployment across regions within a country—either through a negative spillover or a positive social-norm effect, or both.

    Release date: 2018-07-31

  • Articles and reports: 11-626-X2017076
    Description:

    Despite a long-standing interest in labour mobility among researchers and policy makers, relatively little has been known about the barriers impeding the mobility of unemployed Canadians. Using data from the 2016 General Social Survey, this study informs this discussion. It provides, for the first time in Canada, representative survey-based information on barriers to labour mobility collected directly from unemployed individuals aged 15 to 64 who were not students.

    Release date: 2017-11-17

  • Articles and reports: 75-006-X201700154878
    Description:

    This study provides additional insight into labour demand and supply based on the joint availability of job vacancy and unemployment data over the past two years (2015 and 2016). Specifically, it uses data from the Job Vacancy and Wage Survey (JVWS) and Labour Force Survey (LFS) to answer the following questions: To what extent are job vacancies and unemployment related? What can the unemployment-to-job-vacancy ratio tell us? To what extent do occupations differ in their relative degree of being slack (more workers than jobs) or tight (more jobs than workers)? How does the unemployment-to-job-vacancy ratio differ by education level?

    Release date: 2017-11-01

  • Articles and reports: 75-006-X201500114155
    Description:

    Using data from the Longitudinal Administrative Databank (LAD), this study examines whether the expected retirement age varies according to the unemployment rate of the economic region. In addition, the study verifies if the relationship between the unemployment rate of the economic region and the probability of permanent retirement remains when other factors are accounted for.

    Release date: 2015-04-22

  • Articles and reports: 75-004-M2015002
    Description:

    Using the Longitudinal Administrative Dababank (LAD), this study examines how the expected retirement age varies according to the unemployment rate of the economic regions (ER). Using a survival model, the study also verifies if workers in ER, with a high unemployment rate, are more likely to retire at a younger age.

    Release date: 2015-04-22
Reference (0)

Reference (0) (0 results)

No content available at this time.

Date modified: