Entropy-based analysis and bioinformatics-inspired integration of global economic information transfer.

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 integr

SUBMITTER: Kim J 

PROVIDER: S-EPMC3534713 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature