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A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The complex networks approach has proven to be an effective tool to understand and predict the evolution of a wide range of complex systems.
In this work, we consider the network representing the exchange of goods between countries: the international trade network.
According to the type of goods they export, the complex networks approach allows inferring which countries will have a bigger growth compared to others.
The aim of this work is to study three different methods characterizing the complex networks and study their behaviour on two main topics.
Can the method predict the economic evolution of a country? What happens to those methods when we merge the economies?
American Psychological Association (APA)
Liao, Hao& Vidmer, Alexandre. 2018. A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1133383
Modern Language Association (MLA)
Liao, Hao& Vidmer, Alexandre. A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1133383
American Medical Association (AMA)
Liao, Hao& Vidmer, Alexandre. A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1133383
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133383