Self-Selection Patterns In Mexico-U.S. Migration

The Role Of Migration Networks

Dados Bibliográficos

ID19915366
AutoresHillel Rapoport (0000-0003-0827-624X, IZA - Institute of Labor Economics), David Mckenzie (0000-0002-1885-2426, Bar-Ilan University)
Ano2007
Data de publicação2007-02-01
Open AccessNão
TipoBOOK
EditoraWorld Bank, Washington, DC (PUBLISHER)
DOI10.1596/1813-9450-4118
OpenAlexW2020199517
IdiomaEN
Citações recebidas19
Referências citadas22

This paper examines the role of migration networks in determining self-selection patterns of Mexico-U.S. migration. We first present a simple theoretical framework showing how such networks impact on migration incentives at different education levels and, consequently, how they are likely to affect the expected skill composition of migration. Using survey data from Mexico, we then show that the probability of migration is increasing with education in communities with low migrant networks, but decreasing with education in communities with high migrant networks. This is consistent with positive self-selection of migrants being driven by high migration costs, as advocated by

Geography · Selection (genetic algorithm) · Artificial Intelligence · Computer Science · Fiscal Policy and Economic Growth · Migration and Labor Dynamics · Urban, Neighborhood, and Segregation Studies