Social Connectedness and Migration Patterns: A Case Study of Mexico to the United States

Main Article Content

Luciano Ayala Cantú

Abstract

Purpose: Analyze whether the existing social connectivity between Mexican and American residents influences migratory flows from Mexico to the United States.


Methodological design: Linear regressions with fixed effects using the Facebook Social Connectedness Index (SCI) as a measure of social connectedness among two regions and consular registration records are a proxy to measure migration.


Results:  Social connectedness has a positive effect on the migratory flow between Mexican and u.s. states


Research limitations: Descriptive analysis is not enough to establish causality among the variables of interest. However, strong correlations are still informative.


Findings: One standard deviation on our measure of connectedness is positively associated with approximately 5 percent more authorized consular cards.

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How to Cite
Ayala Cantú, L. (2024). Social Connectedness and Migration Patterns: A Case Study of Mexico to the United States. Entreciencias: Diálogos En La Sociedad Del Conocimiento, 12(26), 1–12. https://doi.org/10.22201/enesl.20078064e.2024.26.89457

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Author Biography

Luciano Ayala Cantú, Universidad Autónoma de Nuevo León

PhD in economics from Trinity College Dublin. He holds a master's degree in economics and public policy from the School of Government and Public Transformation of the Monterrey Institute of Technology and Higher Education (ITESM) and a bachelor's degree in economics from the Autonomous University of Nuevo León. His research focuses on applied microeconomics, particularly in economic development, institutional economics, public economics, and the economics of crime. He is a professor-researcher at the Faculty of Economics of the Autonomous University of Nuevo León. He is currently a member of the national system of researchers (SNII).

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