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A Multi-Scale System of Macroeconometric Models: the Inforum Approach

Author

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  • Rossella Bardazzi

    (University of Florence)

  • Leonardo Ghezzi

    (Regional Institute of Economic Planning in Tuscany)

Abstract

The recent global crisis affected output, but the decline in international trade was even sharper, almost twice as big, so that in the literature it is referred as the Great Trade Collapse. Trade flows have transmitted the crisis through the world economy where international trade runs through much more intricate networks than in the past, involving a greater number of countries, firms, and products. All these relevant economic issues require a clear understanding of the possible positive and negative effects not only on the economy as a whole and on aggregate macroeconomic variables but especially on specific industries and commodities. This type of quantitative analysis can be pursued with several analytical tools and data. Macroeconometric models have a long-standing and remarkable tradition as a tool for analyzing the international transmission mechanism of shocks and policies and for forecasting their effects. In this paper, we present the INFORUM international linking system of models that includes a Bilateral Trade Model (BTM) and a set of multisectoral country models. The INFORUM international system of models is characterised by a detailed industry and commodity classification and the use of econometric equations for estimating the behaviour of economic variables and of bilateral import shares. Moreover, when the complete international system of models is linked through the bilateral trade model, simulation results include feedback effects from country models to all economies in the system through bilateral trade flows. Overall, this multi-scale system of models captures the heterogeneity across industries and countries and produces significant information for economic policy design.

Suggested Citation

  • Rossella Bardazzi & Leonardo Ghezzi, 2018. "A Multi-Scale System of Macroeconometric Models: the Inforum Approach," Studies on Russian Economic Development, Springer, vol. 29(6), pages 598-606, November.
  • Handle: RePEc:spr:sorede:v:29:y:2018:i:6:d:10.1134_s1075700718060114
    DOI: 10.1134/S1075700718060114
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    References listed on IDEAS

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    1. Terrie Walmsley & Badri Narayanan & Angel Aguiar & Robert McDougall, 2018. "Building a global database: consequences for the national I–O data," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 478-496, October.
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    4. Clopper Almon, 2016. "Inforum models: Origin, evolution and byways avoided," Studies on Russian Economic Development, Springer, vol. 27(2), pages 119-126, March.
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    7. Christian Lutz & Bernd Meyer & Marc Ingo Wolter, 2010. "The global multisector/multicountry 3-E model GINFORS. A description of the model and a baseline forecast for global energy demand and CO 2 emissions," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 10(1/2), pages 25-45.
    8. Rossella Bardazzi & Leonardo Ghezzi, 2018. "Trade, competitiveness and investment: an empirical assessment," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 497-520, October.
    9. Kurt Kratena & Gerhard Streicher & Umed Temurshoev & Antonio F. Amores & Iñaki Arto & Ignazio Mongelli & Frederik Neuwahl & José-Manuel Rueda-Cantuche & Valeria Andreoni, 2013. "FIDELIO 1: Fully Interregional Dynamic Econometric Long-term Input-Output Model for the EU 27," WIFO Studies, WIFO, number 46816, February.
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    Cited by:

    1. Rossella Bardazzi & Leonardo Ghezzi, 2022. "Large-scale multinational shocks and international trade: a non-zero-sum game," Economic Systems Research, Taylor & Francis Journals, vol. 34(4), pages 383-409, October.

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