Activity: Talk or presentation › Science to science
Economic literature suggests that income differentials and distances across regions impact decisions to migrate. One the other hand, empirical and sociological evidence show that migration is heavily clustered around family and community networks located in areas where income differentials are not sustainably higher but a low income job is guaranteed. This paper presents a bottom-up agent-based model of probabilistic migration along spatially defined networks. Results show that once community is controlled for, clustering of migrants emerge at locations where income gains are not optimal.
6 Nov 2014 → 8 Nov 2014
26th Annual European Association of Evolutionary Political Economy (EAEPE) Conference
Degree of Recognition
Austrian Classification of Fields of Science and Technology (ÖFOS)