Résumé

There are over 10 million Mexican migrants in the United States; about half are undocumented. We connect the historical mobility patterns to the United States extreme weather conditions in Mexico. We combine predictive machine learning tools with mechanism-based statistical models. We show that combination and sequencing of droughts are critical to all aspects of the migration process: who migrates, whether migrants use clandestine channels to cross, and when they return to Mexico.

Référence

Filiz Garip (Princeton University), « Climate Change, Migration, and Inequality », IAST General Seminar, Toulouse : IAST, 6 mai 2025, 11h30–12h30, salle Auditorium 4 (First floor - TSE Building).