IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v21y2021i3p708-755.html
   My bibliography  Save this article

icio: Economic analysis with intercountry input–output tables

Author

Listed:
  • Federico Belotti

    (University of Rome Tor Vergata)

  • Alessandro Borin

    (Bank of Italy)

  • Michele Mancini

    (Bank of Italy)

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, 2021. "icio: Economic analysis with intercountry input–output tables," Stata Journal, StataCorp LP, vol. 21(3), pages 708-755, September.
  • Handle: RePEc:tsj:stataj:v:21:y:2021:i:3:p:708-755
    DOI: 10.1177/1536867X211045573
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj21-3/st0651/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0651
    File Function: link to article purchase
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1536867X211045573?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Borin, Alessandro & Conteduca, Francesco Paolo & Di Stefano, Enrica & Gunnella, Vanessa & Mancini, Michele & Panon, Ludovic, 2023. "Trade decoupling from Russia," International Economics, Elsevier, vol. 175(C), pages 25-44.
    2. Nazif Durmaz & Henry Thompson, 2020. "Relative Prices and Empirical Trade Patterns," Auburn Economics Working Paper Series auwp2020-06, Department of Economics, Auburn University.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:21:y:2021:i:3:p:708-755. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.