Abstract

Factor abundance is a two-dimensional concept that is awkward for data with numerous factors of production and many countries. The present paper introduces and utilizes a high-dimensional measure of factor abundance, the Euclidean distance to the intersection of an endowment ray with the unit hyperplane. Standard factor abundance is a special case of this distance abundance measure. Using a familiar data set, distance abundance outperforms share and world abundance in predicting factor content.

Keywords: Factor abundance; Factor content; Euclidean distance

JEL classification codes: F1