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LABOUR MARKET INFORMATION COUNCIL
CONSEIL DE L’INFORMATION SUR LE MARCHÉ DU TRAVAIL
Amplify 2019
Toronto, ON – 15 April 2019
Tony Bonen
Director of Research, Data and Analytics
Data Intelligence for the
Youth Employment Sector
Labour Market Information Council (LMIC)
Collect
• Statistics Canada
(RDCs)
• Job posting data
• Public opinion
research
Analyze
• Quantitative
research
• Verify reliability
• Identify data gaps
Distribute
• LMI Insights
• Online dashboards
• Open access LMIC
Data Hub
Public Opinion Research dashboard
lmic-cimt.ca/lmi-interactive-dashboard/
Top LMI Needs of Ontario Students
Data Gaps for Youth
Job Openings
• Many existing websites for current postings
• Limited information on the future
Wages
• Data available, but may not be well-structured
• More up-to-date and relevant wage information needed
Skills
• A huge data gap
• Education is a common proxy, but need better methods
Small gap
Large gap
Skill demand by proxy: NOC
4-digit NOC codes are associated with the “typical education” required
for the job:
Level A : University degree (bachelor’s, master’s or doctorate)
Level B : Some post-secondary education, college and apprenticeship
Level C : Completion of secondary school, and some occupation training
Level D : Below secondary school, and on-the-job training
National Occupational Classification (NOC) “Skill Level”
Job Market Requires Higher Education
Employment share on Ontario jobs by NOC “Skill Level”
But Educational Attainment increased faster
Share of young workers (15 to 34) with greater educational attainment
than is required by their occupation
Overqualification doesn’t pay for youths (15-34)
Average earnings in “Level B” and “C” occupations by relative education level
Level B : Some post-secondary education, college and apprenticeship
Level C : Completion of secondary school, and some occupation training
It really doesn’t pay for young men (15-34)
Level B : Some post-secondary education, college and apprenticeship
Level C : Completion of secondary school, and some occupation training
Average earnings in “Level B” and “C” occupations by relative education level
Getting the Information out there:
Skills, Wages and Training
Need better definition and measurement of skills
• A common taxonomy for skills
• Leverage new data sources (e.g., job posting data)
Wage data needs to meet the needs to youth and other user
groups
• LMIC is conducting focus groups with college and university
students across the country
• Feedback and insights will inform the pilot project for the
LMIC Data Hub
The Way Forward: LMIC Data Hub
QUESTIONS?
…
Appendix: Ontario’s wage advantage falling
Real hourly wage rate in Ontario and Canada
Appendix: As manufacturing employment has fallen
Share of employees working in the manufacturing sector in Ontario and
Canada

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Data Intelligence for the Youth Employment Sector

  • 1. LABOUR MARKET INFORMATION COUNCIL CONSEIL DE L’INFORMATION SUR LE MARCHÉ DU TRAVAIL Amplify 2019 Toronto, ON – 15 April 2019 Tony Bonen Director of Research, Data and Analytics Data Intelligence for the Youth Employment Sector
  • 2. Labour Market Information Council (LMIC) Collect • Statistics Canada (RDCs) • Job posting data • Public opinion research Analyze • Quantitative research • Verify reliability • Identify data gaps Distribute • LMI Insights • Online dashboards • Open access LMIC Data Hub
  • 3. Public Opinion Research dashboard lmic-cimt.ca/lmi-interactive-dashboard/
  • 4. Top LMI Needs of Ontario Students
  • 5. Data Gaps for Youth Job Openings • Many existing websites for current postings • Limited information on the future Wages • Data available, but may not be well-structured • More up-to-date and relevant wage information needed Skills • A huge data gap • Education is a common proxy, but need better methods Small gap Large gap
  • 6. Skill demand by proxy: NOC 4-digit NOC codes are associated with the “typical education” required for the job: Level A : University degree (bachelor’s, master’s or doctorate) Level B : Some post-secondary education, college and apprenticeship Level C : Completion of secondary school, and some occupation training Level D : Below secondary school, and on-the-job training National Occupational Classification (NOC) “Skill Level”
  • 7. Job Market Requires Higher Education Employment share on Ontario jobs by NOC “Skill Level”
  • 8. But Educational Attainment increased faster Share of young workers (15 to 34) with greater educational attainment than is required by their occupation
  • 9. Overqualification doesn’t pay for youths (15-34) Average earnings in “Level B” and “C” occupations by relative education level Level B : Some post-secondary education, college and apprenticeship Level C : Completion of secondary school, and some occupation training
  • 10. It really doesn’t pay for young men (15-34) Level B : Some post-secondary education, college and apprenticeship Level C : Completion of secondary school, and some occupation training Average earnings in “Level B” and “C” occupations by relative education level
  • 11. Getting the Information out there: Skills, Wages and Training Need better definition and measurement of skills • A common taxonomy for skills • Leverage new data sources (e.g., job posting data) Wage data needs to meet the needs to youth and other user groups • LMIC is conducting focus groups with college and university students across the country • Feedback and insights will inform the pilot project for the LMIC Data Hub
  • 12. The Way Forward: LMIC Data Hub
  • 14. Appendix: Ontario’s wage advantage falling Real hourly wage rate in Ontario and Canada
  • 15. Appendix: As manufacturing employment has fallen Share of employees working in the manufacturing sector in Ontario and Canada