This paper studies the role of reduced barriers to international trade from two dimensions: (i) the implementation of Free Trade Agreements and (ii) declining "border effects". Our empirical estimates suggest that diminished border effects accounts for the bulk of the increase in international...

Recent theoretical work on international trade emphasizes the importance of trade elasticity as the fundamental statistic needed to conduct welfare analysis. Eaton and Kortum (2002) proposed a two-step method to estimate this parameter, where exporter fixed effects are regressed on proxies for...

Machine learning (ML) is becoming more and more important throughout the mathematical and theoretical sciences. In this work we apply modern ML methods to gravity models of pairwise interactions in international economics. We explain the formulation of graphical neural networks (GNNs), models...

This paper studies the intangible costs of international trade by extending the basic gravity equation with measures of cultural and institutional distance, and institutional quality. Analyzing a sample of bilateral trade flows between 92 countries in 1999, we find that institutional distance...

We show that traditional gravity variables play a significant role in explaining trade flows related to global value chain participation. We find evidence that cooperation costs - measured by linguistic and geographical proximity - are more relevant for trade that reflects cross-border...