Product progression: a machine learning approach to forecasting industrial upgrading

Abstract Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models to set the prediction benchmark. We find that the...

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Bibliographic Details
Main Authors: Giambattista Albora, Luciano Pietronero, Andrea Tacchella, Andrea Zaccaria
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-28179-x