Mantas Sekmokas Unit E3 – VET, Apprenticeships and Adult learning

Slides:



Advertisements
Similar presentations
Industry-based training and social inclusion Michael Long The contribution of VET to a more inclusive Australia 15th Annual National Conference Centre.
Advertisements

Overview of the International classification of occupations (ISCO) A case for Uganda Ssennono vincent.
ILO-Paris21 seminar on Capacity Building for labour statistics, Geneva, 3 Dec 2003 Capacity building for labour statistics : the EU system as a final target,
Instructional Framework Discussion A JOB for every Oklahoman and a WORKFORCE for every Company.
The Vocational School Research Program of IEER Ágnes Makó HCCI Institute for Economic and Enterprise Research Network of Observatories.
Microeconomics Topic 1: The Economic Problem
Skills and competences of the future: the impact of technology
Thanks for the invitation.
CEDEFOP Session 2: Closer look at the roadmap Forecasting occupations and qualifications Production of Skills Supply and Demand Forecasts Alphametrics.
Objective To have information to allow monitoring of SDG 8 from the point of view of persons with disabilities and to be able to provide guidance to policy.
Labour Market Information and Employment Services Centers
Thanks for the invitation.
Statistical definitions of informal economy Informal sector
17.00 – Eurostat hackathon winners - showcase Ana Franco Lopes,
Cedefop’s European Skills Forecasting Model
International Labour Organisation
Industry Training Authority Youth Day
Informal Sector Statistics
VET promotion: An Oecd perspective
John Hurley Research Manager, Eurofound TASC, Dublin 14th April 2016
Tite Habiyakare, Senior Statistician,
Adult learning and work-based learning: how to engage with employers
Recent work on education and training statistics
Informal Sector Statistics
LFS ad hoc module 2009 “Entry of young people into the labour market”
Overview of the New Skills Agenda for Europe
Workshop on Measuring the Transition from School to Labour Market Item 3 – Conceptual framework in the EU for the transition of youth from education.
Adult Education Survey
Working Group on Labour Statistics for MEDSTAT countries October 2013
Social protection network asisp:
27 November 2014 Mantas Sekmokas
WORKSHOP ON THE DATA COLLECTION OF OCCUPATIONAL DATA Luxembourg, 28 November 2008 Occupation as a core variable in social surveys Sylvain Jouhette
Developing skills for an inclusive future in the world of work
Workshop on the data collection of occupational data 28 November 2008
Coding occupations The new coding process Sue Westerman, Marc Houben.
Programme for the International Assessment of Adult Competencies
2nd meeting of the task force on survey based disability statistics
EU-China Social Protection Reform Project Rome, 22 October 2018
Working group “Cultural statistics”
Challenges in Measuring Human Capital for the Knowledge Economy
LAMAS Working Group 7-8 December 2016
Passenger Mobility Statistics 10 April 2014
Adult Education Survey : recommendations of the TF AES
Big Data ESSNet WP 1: Web scraping / Job Vacancies Pilot
Classification of learning activities
Stephen Machin* and Sandra McNally** 1 December 2006
High-level Working Group on Statistical Confidentiality
AES Anonymisation agreement
Directorate-General for Employment, Social Affairs and Inclusion
Education and Training Statistics Working Group, May 2011
Item 11 – Conclusions – ETS 2018 WG meeting
Meeting of the Directors of Social Statistics October 2016
Education and Training Statistics Working Group – 1-2 June 2017
Figures adapted from the TIEDI Analytical Report #11:
National Educational Attainment Classifications (NEACs)
Education and Training Statistics Working Group, May 2011
Education and Training Statistics Work programme 2004
Task Force 3, Cultural Industries Kutt Kommel
Sylvain Jouhette WORKSHOP ON THE DATA COLLECTION OF OCCUPATIONAL DATA Luxembourg, 28 November 2008 ESeC: European Socio-economic.
Modernising the system of micro-data collections in social statistics
Recent developments in the field of Vocational training, Adult learning and Adult skills 18 June 2018, Luxembourg Mantas Sekmokas Unit E3 – VET, Apprenticeships.
Item 4.2 – Towards the 2016 AES Philippe Lombardo Eurostat-F5
Conceptual Framework for Measuring Quality of Employment
EU-China Social Protection Reform Project Rome, 22 October 2018
Education and Training Statistics Working Group June 2014
ACTIVE LABOUR MARKET POLICIES AT THE INTERNATIONAL LEVEL
Intergenerational fairness & solidarity Katarina Jaksic Thematic Analysis Unit DG Employment, Social Affairs and Inclusion, European Commission.
ACTIVE LABOUR MARKET POLICIES AT THE INTERNATIONAL LEVEL
Recent dissemination activities
Meeting Of The European Directors of Social Statistics
Presentation transcript:

Subject for LFS AHM 2022 Job Skills – the background 23-24 October 2018, Luxembourg Mantas Sekmokas Unit E3 – VET, Apprenticeships and Adult learning Directorate General for Employment, Social Affairs and Inclusion

Recap: policy need Changing the content of tasks carried out at work – driver of technological, economic and social transformation Tasks established as a key measure of individual level skills demand However only limited availability of actual data for the EU – existing sources face issues with qulity, sample, conceptual and country coverage

Recap: policy use For assessing automation risk (different criteria): Physical tasks (brute force – more automatable) Routine tasks (more automatable) Social/complex tasks (less automatable) Cognitive tasks (complementary with technology) Use of digital equipment (machine learning) Use of non-digital equipment (digitalisation) For assessing occupational skills demand (literacy/numeracy/technology training needed) For assessing differences (inequality) of skills use within sectors, companies, occupations > wages

Recap: why LFS Ranked as top priority by LAMAS priority setting Reliability and possible disaggregation of occupational data (ISCO) Reliability and possible disaggregation of educational attainment data (ISCED) EU28 coverage LFS the only source providing these possibilities

Recap: validity and reliability “Using original, representative survey data, we document that analytical, routine, and manual job tasks can be measured with high validity, vary substantially within and between occupations, are significantly related to workers’ characteristics, and are robustly predictive of wage differences between occupations and among workers in the same occupation.” Autor and Handel (2013) Journal of Labour Economics, Vol. 31, No. 2, The Princeton Data Improvement Initiative

Recap: preparatory work Eurofound taxonomy of tasks using cluster analysis of available survey variables in 2016 JRC statistical analysis to identify best performing and predictive items in 2018 Review of new items developed recently by OECD (PIAAC cycle II), Germany (NEPS), US (STAMP) Detailed feedback from TF2 members

Thank you