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Determinants of Mexico-US outwards and return migration flows: A state-level panel data analysis

Isabelle Chort and Maëlys de La Rupelle ()
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Maëlys de La Rupelle: THEMA - Théorie économique, modélisation et applications - UCP - Université de Cergy Pontoise - Université Paris-Seine - CNRS - Centre National de la Recherche Scientifique

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Abstract: In this paper, we investigate the determinants of the regional patterns of Mexico-US migration flows.Along with traditional economic determinants, we examine the role played by environmental factorsand violence in Mexico in determining migration patterns and their evolutions. We estimate a microgroundedgravity model of migration using a panel dataset of state-to-state emigration and returnmigration flows between Mexico and the US for the period 1995-2012. We exploit the time anddyadic dimension of the data to control for time-invariant and time-variant characteristics ofdestination states, including migration policies. Our results suggest that along with the traditionaleconomic determinants of migration, climatic and social factors contribute to shaping regionalmigration patterns.

Keywords: Mexico-U.S. migration; Changement climatique; Climate change; Catastrophes naturelles; Mexique; Migration internationale; Etats-Unis; Natural disasters; Modèle de gravité; International migration; Gravity equation (search for similar items in EconPapers)
Date: 2017-04-28
New Economics Papers: this item is included in nep-env and nep-mig
Note: View the original document on HAL open archive server: https://hal.science/hal-01516057
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Related works:
Journal Article: Determinants of Mexico-U.S. Outward and Return Migration Flows: A State-Level Panel Data Analysis (2016) Downloads
Working Paper: Determinants of Mexico-US outward and return migration flows: A state-level panel data analysis (2016)
Working Paper: Determinants of Mexico-U.S. Outward and Return Migration Flows: A State-Level Panel Data Analysis (2016)
Working Paper: Determinants of Mexico-US outward and return migration flows: a state-level panel data analysis (2015) Downloads
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