Intelligent Export Diversification: An Export Recommendation System with Machine Learning
47 Pages Posted: 30 Oct 2020
Date Written: August 1, 2020
This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.
Keywords: Exports, Export diversification, Comparative advantage, Machine learning, Personal income, WP, graphic tag0, SITC product lists, price boom, product-space literature, country-product space, export basket, export product, KNN implementation
JEL Classification: O1, F10, F11, O33, D31
Suggested Citation: Suggested Citation