Estimating Digital Product Trade Through Corporate Revenue Data

This paper presents a machine learning approach to estimate digital trade using corporate revenue data. The resulting dataset provides yearly estimates of trade in digital products for 189 countries and 31 sectors, showing that it is a rapidly growing and significant aspect of global trade. The findings also reveal differences in the geography of digital product trade compared to physical goods and services.