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The RHOMOLO-IO modelling framework: a flexible Input-Output tool for policy analysis

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Abstract

This Technical Report describes the features of the RHOMOLO-IO model and demonstrates its flexibility by showing a number of recent policy-relevant applications for which it has been used. Such applications include, for instance, the study of the European Globalisation Fund, of four TEN-T investment projects, of the European research and innovation regional funds, and of regulatory proposals on the energy union in the EU. The paper contains traditional input-output multipliers analyses applied to output, GDP, and employment, as well as consumption redistribution and trade analyses. The flexibility of the RHOMOLO-IO framework makes it useful for a wide range of policy-relevant studies and makes it a perfect complement to the spatial computable general equilibrium RHOMOLO.

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  • Giovanni Mandras & Andrea Conte & Simone Salotti, 2019. "The RHOMOLO-IO modelling framework: a flexible Input-Output tool for policy analysis," JRC Working Papers on Territorial Modelling and Analysis 2019-06, Joint Research Centre.
    • Handle: RePEc:ipt:termod:201906
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    1. Olga Diukanova & Giovanni Mandras & Andrea Conte & Simone Salotti, 2018. "R&I and Low-carbon investment in Apulia, Italy: The RHOMOLO assessment," JRC Research Reports JRC115019, Joint Research Centre.
    2. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
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    4. Inaki Arto & Jose M. Rueda-Cantuche & Ignacio Cazcarro & Antonio F. Amores & Erik Dietzenbacher & M. Victoria Roman & Zornitsa Kutlina-Dimitrova, 2018. "EU exports to the world: Effects on employment," JRC Research Reports JRC113071, Joint Research Centre.
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    6. Ronald E. Miller, 1966. "Interregional Feedback Effects In Input‐Output Models: Some Preliminary Results," Papers in Regional Science, Wiley Blackwell, vol. 17(1), pages 105-125, January.
    7. 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 (Seville site).
    8. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
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    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. Martin Christensen & Andrea Conte & Filippo Di Pietro & Patrizio Lecca & Giovanni Mandras & Simone Salotti, 2018. "The third pillar of the Investment Plan for Europe: An impact assessment using the RHOMOLO model," JRC Working Papers on Territorial Modelling and Analysis 2018-02, Joint Research Centre (Seville site).
    12. Mark Thissen & Olga Ivanova & Giovanni Mandras & Trond Husby, 2019. "European NUTS 2 regions: construction of interregional trade-linked Supply and Use tables with consistent transport flows," JRC Working Papers on Territorial Modelling and Analysis 2019-01, Joint Research Centre (Seville site).
    13. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
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    Cited by:

    1. 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 (Seville site).
    2. Thomas von Brasch & Ådne Cappelen & Håvard Hungnes & Terje Skjerpen, 2020. "Modeling R&D spillovers to productivity. The effects of tax policy," Discussion Papers 927, Statistics Norway, Research Department.

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    More about this item

    Keywords

    rhomolo; region; growth; input output; multipliers;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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