The effect of the COVID-19 pandemic on remittances in Guatemala: A causal impact analysis

Remittances constitute a major way in which migrants contribute to their family's well-being and stability. Almost 2 million people of Guatemalan-origin reside in the United States. In this paper we use monthly data spanning 2002-2024 published by the Bank of Guatemala to examine whether the receipt of remittances 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 continues to have an effect even 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 post-pandemic.

Authors

Institutions

Publication Details

Journal
Economics Letters
Published
2025-04-20
DOI
https://doi.org/10.1016/j.econlet.2025.112351
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effect of the COVID-19 pandemic on remittances in Guatemala: A causal impact analysis

Alexis R. Santos‐Lozada, Ernesto Cuxil
Economics Letters
Migration and Labor Dynamics
article

The effect of the COVID-19 pandemic on remittances in Guatemala: A causal impact analysis

Alexis R. Santos‐Lozada, Ernesto Cuxil
article en

Abstract

Remittances constitute a major way in which migrants contribute to their family's well-being and stability. Almost 2 million people of Guatemalan-origin reside in the United States. In this paper we use monthly data spanning 2002-2024 published by the Bank of Guatemala to examine whether the receipt of remittances 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 continues to have an effect even 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 post-pandemic.

Economics LettersVol. 252
Pennsylvania State University (US)
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Reduced inequalities
Openalex Percentile: Top 90%
Migration and Labor Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.