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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/41722 Cómo citar
Título: Understanding uncertainty shocks in Uruguay through VAR modeling
Autor: Lanzilotta, Bibiana
Merlo, Gabriel
Mordecki, Gabriela
Umpiérrez, Viviana
Tipo: Artículo
Palabras clave: Economic uncertainty, EPU index, VAR-X, Volatility, Uruguay, COVID-19
Descriptores: CICLOS ECONOMICOS
Cobertura geográfica: Uruguay
Fecha de publicación: 2023
Resumen: This study introduces a first set of uncertainty indexes for Uruguay (a newspaper-based index and a composite index-based) to analyze how economic uncertainty impacts domestic variables in a small and open economy such as Uruguay, which is exposed to international, regional, and local uncertainty. The analysis covers approximately 15 years and uses the vector autoregressive methodological framework. The main findings suggest that economic uncertainty significantly impacts the real economy and does not impact the nominal variables. These findings which differentiate from other results found in the empirical literature, can be associated with the stability of the Uruguayan economy and the strong institutions, which may help mitigate external shocks. To assess the capability of the proposed uncertainty model to predict macroeconomic variables, we evaluate its predictive performance within the last major uncertainty shock due to the COVID-19 pandemic.
Editorial: Springer
EN: Journal of Business Cycle Research
DOI: https://doi.org/10.1007/s41549-023-00081-5
Citación: LANZILOTTA, Bibiana, MERLO, Gabriel, MORDECKI, Gabriela y otros. "Understanding uncertainty shocks in Uruguay through VAR modeling". Journal of Business Cycle Research, 2023.https://doi.org/10.1007/s41549-023-00081-5
Licencia: Licencia Creative Commons Atribución (CC - By 4.0)
Aparece en las colecciones: Artículos - Instituto de Economía

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