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RHOMOLO Model Manual: A Dynamic Spatial General Equilibrium Model for EU Regions and Sectors

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Abstract

This manual explains how to practically use the RHOMOLO model for policy impact assessment. We explain here how to read its modular structure, to retrieve its database and provide a step-by step guide to perform simulations using either its GAMS-IDE interface (for expert users) or a user-friendly graphical web-interface.

Suggested Citation

  • Francesco Di Comite & Olga Diukanova & D'Artis Kancs, 2016. "RHOMOLO Model Manual: A Dynamic Spatial General Equilibrium Model for EU Regions and Sectors," JRC Research Reports JRC96776, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc96776
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC96776
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    1. 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.
    2. 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.
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    11. 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.
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    Cited by:

    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. Fidrmuc, Jarko & Degler, Moritz, 2021. "Temporal And Spatial Dependence Of Interregional Risk Sharing: Evidence From Russia," Macroeconomic Dynamics, Cambridge University Press, vol. 25(1), pages 178-200, January.
    3. Olga Diukanova, 2018. "Multivariate Sensitivity Analysis with a Very Large CGE Model," JRC Research Reports JRC111144, Joint Research Centre.
    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. 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.
    6. 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.
    7. 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.

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    More about this item

    Keywords

    RHOMOLO; Macro-Economic Models; Computable General Equilibrium; Impact assessment;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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