This paper examines the global drivers of inflation in 55 countries over the 1970-2022 period. We estimate a Factor-Augmented Vector Autoregression model for each country and assess the importance of several global (demand, supply, and oil price) and domestic shocks. We report three main...

This paper studies how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality in the international-trade network have co-evolved over time. We show that all node statistic distributions and their correlation structure have...

The authors analyse patterns of international trade and financial integration using complex network analysis. The combination of both binary and weighted approaches delivers more precise and thorough insights into the topological structure and properties of international trade and financial...

This paper explores the relationships between migration and trade using a complex-network approach. We show that: (i) both weighted and binary versions of the networks of international migration and trade are strongly correlated; (ii) such correlations can be mostly explained by country...