Latent Dirichlet allocation model for world trade analysis.

ABSTRACT: International trade is one of the classic areas of study in economics. Its empirical analysis is a complex problem, given the amount of products, countries and years. Nowadays, given the availability of data, the tools used for the analysis can be complemented and enriched with new methodologies and techniques that go beyond the traditional approach. This new possibility opens a research gap, as new, data-driven, ways of understanding international trade, can help our understanding of the underlying phenomena. The present paper shows the application of the Latent Dirichlet allocation model, a well known technique in the area of Natural Language Processing, to search for latent dimensions in the product space of international trade, and their distribution across countries over time. We appl

SUBMITTER: Kozlowski D 

PROVIDER: S-EPMC7861422 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature