TY - JOUR
T1 - The effect of the COVID-19 pandemic on remittances in Guatemala
T2 - A causal impact analysis
AU - Santos-Lozada, Alexis R.
AU - Cuxil, Ernesto R.
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/6
Y1 - 2025/6
N2 - Remittances constitute a major way in which migrants contribute to their family's well-being and stability during their absence. Almost 2 million people of Guatemalan-origin reside in the United States, with remittances increasing since 2000. In this paper we use monthly data spanning 2002–2024 published by the Bank of Guatemala to examine whether remittances received deviated from expected levels after the onset of the COVID-19 pandemic. The counterfactual is produced considering past trends and variation with time series that remained relatively stable during the post-pandemic period. Using Bayesian Structural Time-Series modeling and inferential causal impact, we find that remittances exceeded what was expected based on a counterfactual built using foreign currency reserves. Since the onset of the COVID-19 pandemic, remittances to Guatemala increased between 23 % and 42 % resulting in an additional 20.17 billion dollars when compared to expected levels. Our analysis suggests that this shock continued having an effect in December 2024. This is likely due to the earlier normalization of economic activities in migrant-hosting countries, a possible increase in the adoption of formal remittance channels, and expectations of continued support after the normalization of economic activities.
AB - Remittances constitute a major way in which migrants contribute to their family's well-being and stability during their absence. Almost 2 million people of Guatemalan-origin reside in the United States, with remittances increasing since 2000. In this paper we use monthly data spanning 2002–2024 published by the Bank of Guatemala to examine whether remittances received deviated from expected levels after the onset of the COVID-19 pandemic. The counterfactual is produced considering past trends and variation with time series that remained relatively stable during the post-pandemic period. Using Bayesian Structural Time-Series modeling and inferential causal impact, we find that remittances exceeded what was expected based on a counterfactual built using foreign currency reserves. Since the onset of the COVID-19 pandemic, remittances to Guatemala increased between 23 % and 42 % resulting in an additional 20.17 billion dollars when compared to expected levels. Our analysis suggests that this shock continued having an effect in December 2024. This is likely due to the earlier normalization of economic activities in migrant-hosting countries, a possible increase in the adoption of formal remittance channels, and expectations of continued support after the normalization of economic activities.
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U2 - 10.1016/j.econlet.2025.112351
DO - 10.1016/j.econlet.2025.112351
M3 - Article
AN - SCOPUS:105002873122
SN - 0165-1765
VL - 252
JO - Economics Letters
JF - Economics Letters
M1 - 112351
ER -