TY  - JOUR
ID  - eprints2691
KW  - Trade
KW  -  Migration
KW  -  Networks
KW  -  Gravity models
KW  -  Spatial econometrics
AV  - public
Y1  - 2015/01//
VL  - 417
UR  - http://www.sciencedirect.com/science/article/pii/S037843711400795X
JF  - Physica A: Statistical Mechanics and its Applications
SP  - 245
A1  - Sgrignoli, Paolo
A1  - Metulini, Rodolfo
A1  - Schiavo, Stefano
A1  - Riccaboni, Massimo
N2  - In this paper we develop a methodology to analyze and compare multiple global networks, focusing 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, where to assure comparability across networks we apply a hypergeometric filter that lets us identify those links which intensity is significantly higher than expected. Next, proposing a new way to define country neighbors based on the most intense links in the trade network, we use spatial econometrics techniques to measure the effect of migration on international trade, while controlling for network interdependences. Overall, we find that migration significantly boosts trade across countries and we are able to identify product categories for which this effect is particularly strong.
SN  - 0378-4371
EP  - 260
N1  - Available online 22 September 2014
IS  - 1
TI  - The relation between global migration and trade networks
PB  - Elsevier
ER  -