Monetary policy in an uncertain world
- Autores
- Soria, Matias Gonzalo
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- tesis de maestría
- Estado
- versión corregida
- Colaborador/a o director/a de tesis
- García Cicco, Javier
- Descripción
- Fil: Soria, Matias Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina.
Monetary policy has been a central tool for policymakers in contexts of high uncertainty, as well as in periods of relative calm. This article examines how the effects of monetary policy vary under different levels of uncertainty. A New Keynesian DSGE model with recursive preferences is solved using perturbation methods, and its response to a monetary policy shock is characterized under the presence of stochastic volatility. The model is contrasted with the data by estimating the same responses through local projections regressions. Both exercises suggest that monetary shocks have more pronounced effects under high uncertainty. The article concludes by discussing extensions aimed at improving the model’s fit with the data. - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Universidad de San Andrés
- OAI Identificador
- oai:repositorio.udesa.edu.ar:10908/25652
Ver los metadatos del registro completo
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Monetary policy in an uncertain worldSoria, Matias GonzaloFil: Soria, Matias Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina.Monetary policy has been a central tool for policymakers in contexts of high uncertainty, as well as in periods of relative calm. This article examines how the effects of monetary policy vary under different levels of uncertainty. A New Keynesian DSGE model with recursive preferences is solved using perturbation methods, and its response to a monetary policy shock is characterized under the presence of stochastic volatility. The model is contrasted with the data by estimating the same responses through local projections regressions. Both exercises suggest that monetary shocks have more pronounced effects under high uncertainty. The article concludes by discussing extensions aimed at improving the model’s fit with the data.Universidad de San Andrés. Departamento de EconomíaGarcía Cicco, Javier2025-09-05T16:09:27Z2025-09-05T16:09:27Z2025-07Tesisinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/updatedVersionhttp://purl.org/coar/resource_type/c_bdccinfo:ar-repo/semantics/tesisDeMaestriaapplication/pdfapplication/pdfhttps://repositorio.udesa.edu.ar/handle/10908/25652enginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/reponame:Repositorio Digital San Andrés (UdeSa)instname:Universidad de San Andrés2025-10-16T10:11:57Zoai:repositorio.udesa.edu.ar:10908/25652instacron:Universidad de San AndrésInstitucionalhttp://repositorio.udesa.edu.ar/jspui/Universidad privadaNo correspondehttp://repositorio.udesa.edu.ar/oai/requestmsanroman@udesa.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:23632025-10-16 10:11:58.103Repositorio Digital San Andrés (UdeSa) - Universidad de San Andrésfalse |
dc.title.none.fl_str_mv |
Monetary policy in an uncertain world |
title |
Monetary policy in an uncertain world |
spellingShingle |
Monetary policy in an uncertain world Soria, Matias Gonzalo |
title_short |
Monetary policy in an uncertain world |
title_full |
Monetary policy in an uncertain world |
title_fullStr |
Monetary policy in an uncertain world |
title_full_unstemmed |
Monetary policy in an uncertain world |
title_sort |
Monetary policy in an uncertain world |
dc.creator.none.fl_str_mv |
Soria, Matias Gonzalo |
author |
Soria, Matias Gonzalo |
author_facet |
Soria, Matias Gonzalo |
author_role |
author |
dc.contributor.none.fl_str_mv |
García Cicco, Javier |
dc.description.none.fl_txt_mv |
Fil: Soria, Matias Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina. Monetary policy has been a central tool for policymakers in contexts of high uncertainty, as well as in periods of relative calm. This article examines how the effects of monetary policy vary under different levels of uncertainty. A New Keynesian DSGE model with recursive preferences is solved using perturbation methods, and its response to a monetary policy shock is characterized under the presence of stochastic volatility. The model is contrasted with the data by estimating the same responses through local projections regressions. Both exercises suggest that monetary shocks have more pronounced effects under high uncertainty. The article concludes by discussing extensions aimed at improving the model’s fit with the data. |
description |
Fil: Soria, Matias Gonzalo. Universidad de San Andrés. Departamento de Economía; Argentina. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-09-05T16:09:27Z 2025-09-05T16:09:27Z 2025-07 |
dc.type.none.fl_str_mv |
Tesis info:eu-repo/semantics/masterThesis info:eu-repo/semantics/updatedVersion http://purl.org/coar/resource_type/c_bdcc info:ar-repo/semantics/tesisDeMaestria |
format |
masterThesis |
status_str |
updatedVersion |
dc.identifier.none.fl_str_mv |
https://repositorio.udesa.edu.ar/handle/10908/25652 |
url |
https://repositorio.udesa.edu.ar/handle/10908/25652 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de San Andrés. Departamento de Economía |
publisher.none.fl_str_mv |
Universidad de San Andrés. Departamento de Economía |
dc.source.none.fl_str_mv |
reponame:Repositorio Digital San Andrés (UdeSa) instname:Universidad de San Andrés |
reponame_str |
Repositorio Digital San Andrés (UdeSa) |
collection |
Repositorio Digital San Andrés (UdeSa) |
instname_str |
Universidad de San Andrés |
repository.name.fl_str_mv |
Repositorio Digital San Andrés (UdeSa) - Universidad de San Andrés |
repository.mail.fl_str_mv |
msanroman@udesa.edu.ar |
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1846146189069647872 |
score |
12.712165 |