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ICIO: Stata module for Economic Analysis with Inter-Country Input-Output tables

Author

Listed:
  • Federico Belotti

    (University of Rome Tor Vergata)

  • Alessandro Borin

    (Bank of Italy)

  • Michele Mancini

    (Bank of Italy)

Programming Language

Stata

Abstract

Several new statistical tools and analytical frameworks have been recently developed to measure countries' and sectors' involvement in global value chains. Such a wealth of methodologies reflects the fact that different empirical questions call for distinct accounting methods and different levels of aggregation of trade flows. In this article, we describe icio, a new command for the computation of the most appropriate measures of trade in value added as well as participation in global value chains. icio follows the conceptual framework proposed by Borin and Mancini (2019, Policy Research Working Paper WPS 8804; WDR 2020 Background Paper, World Bank Group), which in turn extends, refines, and reconciles the other main contributions in this strand of the literature. icio is flexible enough to work with any intercountry input–output table and with any level of aggregation of trade flows.

Suggested Citation

  • Federico Belotti & Alessandro Borin & Michele Mancini, 2018. "ICIO: Stata module for Economic Analysis with Inter-Country Input-Output tables," Statistical Software Components S458463, Boston College Department of Economics, revised 09 Apr 2022.
  • Handle: RePEc:boc:bocode:s458463
    Note: This module should be installed from within Stata by typing "ssc install icio". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/i/icio.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/i/icio_load.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/i/icio_clean.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/i/icio.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/l/licio.mlib
    File Function: Mata object library
    Download Restriction: no
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    Citations

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    Cited by:

    1. Alessandro Antimiani & Luca Salvatici & Ilaria Fusacchia, 2018. "GTAP-VA: An Integrated Tool for Global Value Chain Analysis," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 69-105, December.
    2. Simona Giglioli & Giorgia Giovannetti & Enrico Marvasi & Arianna Vivoli, 2021. "The Resilience of Global Value Chains during the Covid-19 pandemic: the case of Italy," Working Papers - Economics wp2021_07.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.

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