  In this paper we develop a methodology to analyze and compare multiple global
networks. We focus our analysis on the relation between human migration and
trade. First, we identify the subset of products for which the presence of a
community of migrants significantly increases trade intensity. To assure
comparability across networks, we apply a hypergeometric filter to identify
links for which migration and trade intensity are both significantly higher
than expected. Next we develop an econometric methodology, inspired by spatial
econometrics, to measure the effect of migration on international trade while
controlling for network interdependencies. Overall, we find that migration
significantly boosts trade across sectors and we are able to identify product
categories for which this effect is particularly strong.
