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RHOMOLO-v2 Model Description: A spatial computable general equilibrium model for EU regions and sectors

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This report presents the current version of the European Commission's spatial computable general equilibrium model RHOMOLO, developed by the Directorate-General Joint Research Centre (DG JRC) in collaboration with the Directorate-General for Regional and Urban Policy (DG REGIO) to undertake the ex-ante impact assessment of EU policies and structural reforms. The RHOMOLO model has been used with DG REGIO for the impact assessment of Cohesion Policy, and with the European Investment Bank for impact assessment of EU investment support policies. The structure of the model departs from standard computable general equilibrium models in several dimensions. First, it generalises the modelling of market interactions by introducing imperfect competition in products and labour markets. Second, it exploits the advantages of a full asymmetric bilateral trade cost matrix for all EU regions to capture a rich set of spatial market interactions and regional features. Third, it acknowledges the importance of space also for non-market interactions through an inter-regional knowledge spill-over mechanism originating from research and development activities within a country. This report describes the theoretical foundation of RHOMOLO-v2 (v2 = version 2), its mathematical structure, dynamics, data sources and calibration to allow the reader to approach the model and its outputs with a higher degree of awareness of its strength and limitations. Indeed, as for any general equilibrium model with a reasonable level of complexity, in RHOMOLO it is often challenging to track the mechanisms at work after a policy shock and clearly disentangle causes and effects because of the high number of channels of adjustment and the presence of many feedback effects. The purpose of this documentation is thus to provide a compass to the reader to sail safely through its many equations, assumptions and connections.

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  • 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.
    • Handle: RePEc:ipt:iptwpa:jrc100011
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    1. Francesco Di Comite & Olga Diukanova & Giovanni Mandras & Javier Gómez Prieto, 2018. "The RHOMOLO economic impact assessment of the R&I and Low-Carbon ERDF Investment programme in Apulia, Italy," JRC Working Papers on Territorial Modelling and Analysis 2018-04, Joint Research Centre.
    2. 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.
    3. d'Artis Kancs & Patrizio Lecca, 2018. "Long‐term social, economic and fiscal effects of immigration into the EU: The role of the integration policy," The World Economy, Wiley Blackwell, vol. 41(10), pages 2599-2630, October.
    4. Montserrat Lopez-Cobo, 2016. "Regionalisation of Social Accounting Matrices for the EU-28 in 2010. A regional database for RHOMOLO at NUTS 2 level," JRC Research Reports JRC104029, Joint Research Centre.
    5. 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.
    6. Jean Mercenier & Ebru Voyvoda, 2018. "On Barriers to Technology Adoption, Appropriate Technology and Deep Integration (with implications for the European Union)," ERC Working Papers 1806, ERC - Economic Research Center, Middle East Technical University, revised Apr 2018.
    7. 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.
    8. Mark Thissen & Maureen Lankhuizen & Frank (F.G.) van Oort & Bart Los & Dario Diodato, 2018. "EUREGIO: The construction of a global IO DATABASE with regional detail for Europe for 2000-2010," Tinbergen Institute Discussion Papers 18-084/VI, Tinbergen Institute.
    9. Jean Mercenier & Ebru Voyvoda, 2021. "On barriers to technology adoption, appropriate technology and European integration," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(3), pages 669-702, August.
    10. Montserrat Lopez-Cobo, 2016. "Conversion of regional data between NUTS classifications. Adapting the RHOMOLO database to different uses," JRC Research Reports JRC104030, Joint Research Centre.
    11. Damiaan Persyn, 2017. "Migration within the EU: investigating the role of education, income differences and cultural barriers," JRC Research Reports JRC104494, Joint Research Centre.
    12. Francesco Di Comite & Giovanni Mandras & Stylianos Sakkas, 2019. "The impact of the Grand Paris Express on the European regions: a RHOMOLO analysis," JRC Working Papers on Territorial Modelling and Analysis 2019-08, Joint Research Centre.
    13. Aurélien Fichet de Clairfontaine & Christoph Hammer, 2018. "Is the wage equation spatial enough? Evidence from a novel regional trade dataset," Review of International Economics, Wiley Blackwell, vol. 26(3), pages 610-633, August.
    14. Wolfgang Britz & Hasan Dudu & Ilaria Fusacchia & Yaghoob Jafari & Roberto Roson & Luca Salvatici & Martina Sartori, 2019. "Economy-wide analysis of food waste reductions and related costs," JRC Research Reports JRC113395, Joint Research Centre.

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    More about this item

    Keywords

    Spatial computable general equilibrium; economic modelling; spatial anamysis; policy impact assessment; economic geography; regional economics.;
    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
    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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