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Modelling regional labour market dynamics. Participation, employment and migration decisions in a spatial CGE model for the EU

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Abstract

This paper outlines how regional labour market adjustments to macro-economic and policy shocks are modelled in RHOMOLO through participation, employment and migration decisions of workers. RHOMOLO, being a multi-sectoral, inter-regional general equilibrium model, is complex both in terms of its dimensionality and the modelling of spatial interactions through trade flows and factor mobility. The modelling of the labour market is therefore constrained by the tractability and computational solvability of the model. The labour market module consists of individual labour participation decisions, including the extensive margin (to participate or not) and the intensive margin (hours of work). Unemployment is determined through a wage curve and inter-regional labour migration decisions are modelled in a discrete-choice framework, with backward-looking expectations.

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  • Damiaan Persyn & d'Artis Kancs & Wouter Torfs, 2014. "Modelling regional labour market dynamics. Participation, employment and migration decisions in a spatial CGE model for the EU," JRC Research Reports JRC89537, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc89537
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    Cited by:

    1. Andries Brandsma & D'Artis Kancs, 2015. "RHOMOLO: A Dynamic General Equilibrium Modelling Approach to the Evaluation of the European Union's R&D Policies," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1340-1359, August.
    2. Pavel Ciaian & d'Artis Kancs, 2015. "Assessing the Social and Macroeconomic Impacts of Labour Market Integration: A Holistic Approach," JRC Research Reports JRC99645, Joint Research Centre.
    3. Andries Brandsma & d'Artis Kancs & Philippe Monfort & Alexandra Rillaers, 2015. "RHOMOLO: A dynamic spatial general equilibrium model for assessing the impact of cohesion policy," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 197-221, November.
    4. Filippo Di Pietro & Patrizio Lecca & Simone Salotti, 2021. "Regional economic resilience in the European Union: a numerical general equilibrium analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(3), pages 287-312, July.
    5. Aaron B. Gertz & James B. Davies & Samantha L. Black, 2019. "A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1314-1341, June.
    6. Francesco Di Comite & d'Artis Kancs & Patrizio Lecca, 2018. "Modeling agglomeration and dispersion in space: The role of labor migration, capital mobility and vertical linkages," Review of International Economics, Wiley Blackwell, vol. 26(3), pages 555-577, August.
    7. Olga Ivanova & d'Artis Kancs & Dirk Stelder, 2009. "Modelling Inter-Regional Trade Flows: Data and Methodological Issues in Rhomolo," EERI Research Paper Series EERI RP 2009/31, Economics and Econometrics Research Institute (EERI), Brussels.
    8. Francesco Di Comite & dArtis Kancs, 2015. "Macro-Economic Models for R&D and Innovation Policies," JRC Working Papers on Corporate R&D and Innovation 2015-03, Joint Research Centre.
    9. Francesco Di Comite & Patrizio Lecca & Philippe Monfort & Damiaan Persyn & Violeta Piculescu, 2018. "The impact of Cohesion Policy 2007-2015 in EU regions: Simulations with the RHOMOLO Interregional Dynamic General Equilibrium Model," JRC Working Papers on Territorial Modelling and Analysis 2018-03, Joint Research Centre.
    10. Patrizio Lecca & Javier Barbero Jimenez & Martin Aaroe Christensen & Andrea Conte & Francesco Di Comite & Jorge Diaz-Lanchas & Olga Diukanova & Giovanni Mandras & Damiaan Persyn & Stylianos Sakkas, 2018. "RHOMOLO V3:A Spatial Modelling Framework," JRC Research Reports JRC111861, Joint Research Centre.
    11. Jean Mercenier & Maria Teresa Alvarez Martinez & Andries Brandsma & Francesco Di Comite & Olga Diukanova & d'Artis Kancs & Patrizio Lecca & Montserrat Lopez-Cobo & Philippe Monfort & Damiaan Persyn & , 2016. "RHOMOLO-v2 Model Description: A spatial computable general equilibrium model for EU regions and sectors," JRC Research Reports JRC100011, Joint Research Centre.
    12. Brandsma, Andries & Di Comite, Francesco & Diukanova, Olga & Kancs, d’Artis & López-Rodríguez, Jesús & Persyn, Damiaan & Potters, Lesley, 2014. "Assessing policy options for the EU Cohesion Policy 2014-2020," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 29, pages 17-46.
    13. Jeff Ferry & Badri Narayanan Gopalakrishnan & Amanda Mayoral, 2022. "The impact of a U.S.–U.K. free trade agreement on workers: a CGE model with worker displacement," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(3), pages 121-138, July.

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    More about this item

    Keywords

    Participation; unemployment; labour migration; wage curve; CGE; new economic geography;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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