In this paper we compare the patterns of trade and financial integration by exploiting network analysis. Our results show that, by combining binary and weighted network analysis, it is possible to deliver more precise and thorough insights on the topological structure and properties of the...

This paper studies the statistical properties of the web of import-export relationships among world countries using a weighted-network approach. We analyze how the distributions of the most important network statistics measuring connectivity, assortativity, clustering and centrality have...

Over the past four decades the High Performing Asian Economies (HPAE) have followed a development strategy based on the exposure of their local markets to the presence of foreign competition and on an outward oriented production. In contrast, Latin American Economies (LATAM) began taking steps...

This paper employs a weighted network analysis to study the empirical properties of the world trade web and their evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus...

Over the past four decades the High Performing Asian Economies (HPAE) have followed a development strategy based on the exposure of their local markets to the presence of foreign competition and on an outward oriented production. In contrast, Latin American Economies (LATAM) began taking steps...

While the impact of exchange rate changes on economic growth has long been an issue of key importance in international macroeconomics, it has received renewed attention in recent years, owing to weaker growth rates and the debate on "currency wars". However, in spite of its prevalence in the...

While the impact of exchange rate changes on economic growth has long been an issue of key importance in international macroeconomics, it has received renewed attention in recent years, owing to weaker growth rates and the debate on currency wars. However, in spite of its prevalence in the...

The Community Explorer provides new insights and data on the characteristics and diversity of the US population. Using machine learning methods, it synthesizes the information of 751 variables across 3,142 counties from the US Census Bureau's American Community Survey into 17 communities. Each...