Labor Migrant Networks: Growth, Saturation, and Deflection to New Labor Markets

Networks and Spatial Economics (2019) 19: 445-472.

30 Pages Posted: 21 Oct 2019 Last revised: 25 Apr 2021

See all articles by Fernanda Herrera

Fernanda Herrera

University of California, San Diego (UCSD)

Gabriel Enrique González König

affiliation not provided to SSRN

Date Written: October 10, 2019

Abstract

We present a model of the evolution of labor migrant networks. Agents use networks to migrate to certain destinations or go to different locations and start new networks there. As networks expand, the number of search processes increases and the relative search costs decrease, making the option of searching for jobs through networks very attractive. Ceteris paribus, the time in which vacancies are spotted is also delayed. If the search costs are a function of time, the value of using a network is a concave function of the network size. We identify the size for which creating a network is more profitable than joining one, this represents the point of economic saturation that leads to the dispersion of migration. We find that the dispersion may occur before a destination runs out of vacancies. We also show that the collective gains of migration may increase if migrants create networks before locations reach their full labor capacity.

Keywords: Migration, Network formation, Job search, Stochastic processes

Suggested Citation

Herrera, Fernanda and González König, Gabriel Enrique, Labor Migrant Networks: Growth, Saturation, and Deflection to New Labor Markets (October 10, 2019). Networks and Spatial Economics (2019) 19: 445-472., Available at SSRN: https://ssrn.com/abstract=3467678

Fernanda Herrera (Contact Author)

University of California, San Diego (UCSD) ( email )

9500 Gilman Drive
La Jolla, CA 92093
United States

Gabriel Enrique González König

affiliation not provided to SSRN

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