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Progress and Achievements of the Task Force on EU Labour Market Areas

Explore the achievements of the Task Force on EU Labour Market Areas, including defining LMAs, methodological recommendations, and promoting a harmonized approach across member countries. Discover the criteria for optimal parameters and the challenges in implementing the EU method. More details on: circabc.europa.eu

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Progress and Achievements of the Task Force on EU Labour Market Areas

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  1. TF-EU-LMA Task Force on EU Labour Market Areas Oliver Heiden Eurostat.E4 WG on Regional, Urban and Rural Development statistics – 2014 October

  2. What is an LMA? (1) • Functional, NOT administrative region (=NUTS)

  3. What is an LMA? (2)

  4. What is an LMA? (3) • Definition: majority of people live ANDwork in a LMA • Assumptions: in an LMA… • constant labour cost, employment, productivity etc. • administration of the ‘centre municipality’ impacts whole area • administrative parts benefit from collaboration • LMA grid characterises commuting behaviour

  5. What was done so far? • 2007 Eurostat questionnaire • 2012 Study on comparable Labour Market Areas • Research report based on NSI questionnaires • Overview of national methods and data • Recommendations for methodology • 2013 – 2014 Task Force on Labour Market Areas • Implementation based on the Study • Definition of EU method • Technical implementation • Recommendations

  6. LMA Task Force organisation (1) • Countries with official LMAs • BE, DE, EE, FI, FR, IT, (NL), SE, UK. • Countries with experimental LMAs • CY, CZ, DK, EL, (PT), SI, SK. • Countries with no LMAs • AT, BG, ES, HU, IE, LT, LU, LV, (PL), RO.

  7. LMA Task Force organisation (2) • DE: Wolfgang EMMEL (only 1st meeting) • HessischesStatistischesLandesamt • FR: StéphanieMAS • Ministère du Travail, de l'Emploi, de la Formation professionnelle et du Dialogue social • IT: SandroCRUCIANI • Istitutonazionale di statistica (ISTAT) • HU: AndrásKEZÁN • Központi Statisztikai Hivatal (KSH) • NL: Hilde KEUNING VAN OIRSCHOT • Centraal Bureau voor de Statistiek (CBS) • PL: PawełSTOPIŃSKI • GłównyUrządStatystyczny (GUS) • UK: Andrew BATES • Office for National Statistics (ONS)

  8. LMA Task Force achievements (1) • Work plan: • Appraisal of the approach presented in the Study  • Definition of the EU-method  • Ways and means of promoting the harmonised method  • Official proposal of the EU method 

  9. LMA Task Force achievements (2) • Appraisal of the approach presented in the Study

  10. LMA Task Force achievements (3) • Definition of the EU-method • UK (TTWA) method to be applied to all EU • Simple is beautiful = input data: only commuting flows • 2x2 parameters • Self-containment: MINIMUM, TARGET • Size: (Number of employed) MINIMUM, TARGET

  11. LMA Task Force achievements (4) self-containment size

  12. LMA Task Force achievements (5) • Which are the optimal parameters? • Sensitivity analysis • Measuring impact of changing parameters • One by one (ceteris paribus)

  13. LMA Task Force achievements(6) • Four countries • NL - SE • Av. LAU2 Population ≈ 33.000 • Av. LAU2 Area 100-1500 km2 • AT - HU • Av. LAU2 Population ≈ 3.300 • Av. LAU2 Area 33 km2 • Assumption: difference in results due to… • Different size (population AND area) of building blocks • Different commuting behavior (transport network, commuting allowance, culture etc.)

  14. LMA Task Force achievements(7) Austria

  15. Austria

  16. Austria

  17. LMA Task Force achievements(8) • Searching for the optimal parameters… • 1=  min. Size • 2=  tar. Size • 3=  min. SC • 4=  tar. SC • different MS – different sensitiveness impacton numberof LMAs parametersets

  18. LMA Task Force achievements(9) • Agreement on methodological details • Optimal parameters to be defined by NSIs • MINIMUM flows between LMAs (intrinsic), • MAXIMUM homogeneity within LMAs: employment, productivity, labour cost etc. (extensic) • Manipulations after the run of the algorithm is allowed • Concentration on large LMAs with EU relevance • Technical difficulties • Implementation of TTWA algorithm still not final • TF Member States did not define optimal parameters

  19. LMA Task Force achievements(10) • Input data recommendations • Commuter data source • Census data, or registers if updated • Employed persons • Age group 16+ • Commuters • From residence or communal establishments • To usual workplace, no fixed workplace or home (!) • Daily, weekly or less frequent • No cross-border commuting

  20. LMA Task Force achievements(11) • Ways and means of promoting the harmonisedmethod • Mentoring programme • Task Force member countries mentor 3-4 other countries • Help in the definition of optimal parameters for all countries • Multi-benefitiary grants are planned to support the programme • Planned for autumn of 2015 (The implementation of the algorithm needs to be finalized first)

  21. LMA Task Force achievements(12) • Official proposal for the EU-method • The method is basically final, some minor details have to be clarified • ISTAT provided script 0.9, 1.0 and 1.1 in R (The sensitivity analysis and the procedure to define the optimal LMA breakdown to be finalized first. • Planned for spring 2015

  22. Thank you for your attention! • More information on CIRCABC: https://circabc.europa.eu/w/browse/398c68fd-ce35-407c-97a9-a015921dfd4f • Contact: ESTAT-REGIO@ec.europa.eu

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