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Social Science > Emigration and Immigration

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Cover IMF Working Papers
Northern Triangle Undocumented Migration to the United States
Ms. Alina Carare
,
Catherine Koh
, and
Mr. Yorbol Yakhshilikov
Undocumented migration from the Northern Triangle countries (El Salvador, Guatemala and Honduras) to the United States has been steadily increasing over the past 30 years, accelerating at times. The paper investigates what factors could explain this fact, by estimating an investment decision model, using annual data over 1990-2019. Economic labor market conditions (real wages and unemployment rates, especially in the U.S.) play a major role in explaining undocumented migration. Less explored drivers of undocumented migration tied to living conditions at home also explain well undocumented migration (natural disasters, coffee production, higher temperatures, and homicide rates). Tighter border enforcement measures act as a deterrent, and perceptions regarding changes of these measures could also drive up undocumented migration at times. Policies that address the root causes of migration at home, including with the U.S. help, are essential in reducing the difference between perceived benefits and expected costs of migration.
Keywords:
International migration; undocumented migration; U.S. Department of Agriculture; investment decision theory; U.S. Department of Homeland Security; NT country; Migration; Real wages; Income; Unemployment rate; Natural disasters; Caribbean; Western Hemisphere; Global
Cover IMF Working Papers
Evolution of Remittances to CAPDR Countries and Mexico During the COVID-19 Pandemic
Aleksandra Babii
,
Ms. Alina Carare
,
Dmitry Vasilyev
, and
Mr. Yorbol Yakhshilikov
Traditional models relying on standard variables like the U.S. Hispanic unemployment rate fared well in explaining remittances to CAPDR and Mexico during the pre-pandemic period. However, they fail to predict the sustained growth in remittances since June 2020, including the significant increase in the average amount remitted. Using data from over 300 remittances corridors (from 23 U.S. states to 14 Salvadoran departments), we find that this increase is primarily explained by the dynamics of U.S. states real wages, as well as more temporary factors like U.S. unemployment relief (including the extraordinary pandemic support), U.S. states mobility, and COVID-19 infections at home. The paper also analyses what role the change in the modes of transmission of remittances, additional U.S. fiscal stimulus and U.S. labor market developments, especially in the sectors were CAPDR and Mexican migrants preponderantly work, play in explaining aggregate remittances growth.
Keywords:
COVID-19 pandemic; migrant remittances; international migration; remittances dynamics; B. panel Vector Autoregression Model; remittances growth; evolution of remittance; remittances to CAPDR country; Remittances; Real wages; COVID-19; Migration; Unemployment; Central America