Publication Type

Journal Article

Version

publishedVersion

Publication Date

1-2013

Abstract

The assessment of information transfer in the global economic network helps to understand the current environment and the outlook of an economy. Most approaches on global networks extract information transfer based mainly on a single variable. This paper establishes an entirely new bioinformatics-inspired approach to integrating information transfer derived from multiple variables and develops an international economic network accordingly. In the proposed methodology, we first construct the transfer entropies (TEs) between various intra- and inter-country pairs of economic time series variables, test their significances, and then use a weighted sum approach to aggregate information captured in each TE. Through a simulation study, the new method is shown to deliver better information integration compared to existing integration methods in that it can be applied even when intra-country variables are correlated. Empirical investigation with the real world data reveals that Western countries are more influential in the global economic network and that Japan has become less influential following the Asian currency crisis.

Keywords

Asian, bioinformatics, economic aspects, economics, entropy, information processing, Japan, time series analysis

Discipline

International Economics

Research Areas

International Economics

Publication

PLoS ONE

Volume

8

Issue

1

First Page

1

Last Page

10

ISSN

1932-6203

Identifier

10.1371/journal.pone.0051986

Publisher

Public Library of Science

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Additional Files
SupplMaterial_ EntropyBasedAnalysisBioinformatics.pdf (250 kB)
Supplementary material

Additional URL

https://doi.org/10.1371/journal.pone.0051986

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