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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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    10. 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.
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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.
    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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