Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru
Descripción del Articulo
Following Chan and Eisenstat (2018a), we use a family of regime-switching models with time-varying parameters and stochastic volatility (RS-VAR-SV) to analyze the evolution of fiscal shocks impacts on Peru's economic growth from 1995Q1 to 2019Q4. Key findings include: (i) identification of two...
Autores: | , |
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Formato: | documento de trabajo |
Fecha de Publicación: | 2024 |
Institución: | Pontificia Universidad Católica del Perú |
Repositorio: | PUCP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/202084 |
Enlace del recurso: | https://repositorio.pucp.edu.pe/index/handle/123456789/202084 http://doi.org/10.18800/2079-8474.0539 |
Nivel de acceso: | acceso abierto |
Materia: | Regime-Switching Models Fiscal Multipliers Marginal Likelihood Cross-Entropy Bayesian Model Comparison Peruvian Economy Stochastic Volatility https://purl.org/pe-repo/ocde/ford#5.02.01 |
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dc.title.es_ES.fl_str_mv |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
title |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
spellingShingle |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru Rodríguez, Gabriel Regime-Switching Models Fiscal Multipliers Marginal Likelihood Cross-Entropy Bayesian Model Comparison Peruvian Economy Stochastic Volatility https://purl.org/pe-repo/ocde/ford#5.02.01 |
title_short |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
title_full |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
title_fullStr |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
title_full_unstemmed |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
title_sort |
Regime-Switching, Stochastic Volatility, Fiscal Policy Shocks and Macroeconomic Fluctuations in Peru |
author |
Rodríguez, Gabriel |
author_facet |
Rodríguez, Gabriel Santisteban, Joseph |
author_role |
author |
author2 |
Santisteban, Joseph |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Rodríguez, Gabriel Santisteban, Joseph |
dc.subject.es_ES.fl_str_mv |
Regime-Switching Models Fiscal Multipliers Marginal Likelihood Cross-Entropy Bayesian Model Comparison Peruvian Economy Stochastic Volatility |
topic |
Regime-Switching Models Fiscal Multipliers Marginal Likelihood Cross-Entropy Bayesian Model Comparison Peruvian Economy Stochastic Volatility https://purl.org/pe-repo/ocde/ford#5.02.01 |
dc.subject.ocde.es_ES.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.01 |
description |
Following Chan and Eisenstat (2018a), we use a family of regime-switching models with time-varying parameters and stochastic volatility (RS-VAR-SV) to analyze the evolution of fiscal shocks impacts on Peru's economic growth from 1995Q1 to 2019Q4. Key findings include: (i) identification of two distinct economic regimes with different macroeconomic fundamentals tied to improvements in fiscal and monetary policy; (ii) enhanced model fi with the inclusion of stochastic volatility; (iii) a positive trend in the size of spending multipliers, though they remain below unity; (iv) during the 2008 Global Financial Crisis, capital expenditure shocks mitigated the decline in economic growth by 2 percentage points, highlighting their counter-cyclical potential. These findings are corroborated by robustness checks, which include changes in priors, variable reordering, adjustments in external and demand variables, and extending the sample to 2022Q4 to encompass the COVID-19 crisis. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-10-07T16:59:28Z |
dc.date.available.none.fl_str_mv |
2024-10-07T16:59:28Z |
dc.date.issued.fl_str_mv |
2024-10 |
dc.type.es_ES.fl_str_mv |
info:eu-repo/semantics/workingPaper |
dc.type.other.none.fl_str_mv |
Documento de trabajo |
format |
workingPaper |
dc.identifier.issn.none.fl_str_mv |
urn:issn:2079-8474 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.pucp.edu.pe/index/handle/123456789/202084 |
dc.identifier.doi.none.fl_str_mv |
http://doi.org/10.18800/2079-8474.0539 |
identifier_str_mv |
urn:issn:2079-8474 |
url |
https://repositorio.pucp.edu.pe/index/handle/123456789/202084 http://doi.org/10.18800/2079-8474.0539 |
dc.language.iso.es_ES.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
Documento de Trabajo; 539 |
dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/2.5/pe/ |
eu_rights_str_mv |
openAccess |
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http://creativecommons.org/licenses/by-nc-nd/2.5/pe/ |
dc.publisher.es_ES.fl_str_mv |
Pontificia Universidad Católica del Perú. Departamento de Economía |
dc.publisher.country.es_ES.fl_str_mv |
PE |
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reponame:PUCP-Institucional instname:Pontificia Universidad Católica del Perú instacron:PUCP |
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PUCP-Institucional |
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Rodríguez, GabrielSantisteban, Joseph2024-10-07T16:59:28Z2024-10-07T16:59:28Z2024-10urn:issn:2079-8474https://repositorio.pucp.edu.pe/index/handle/123456789/202084http://doi.org/10.18800/2079-8474.0539Following Chan and Eisenstat (2018a), we use a family of regime-switching models with time-varying parameters and stochastic volatility (RS-VAR-SV) to analyze the evolution of fiscal shocks impacts on Peru's economic growth from 1995Q1 to 2019Q4. Key findings include: (i) identification of two distinct economic regimes with different macroeconomic fundamentals tied to improvements in fiscal and monetary policy; (ii) enhanced model fi with the inclusion of stochastic volatility; (iii) a positive trend in the size of spending multipliers, though they remain below unity; (iv) during the 2008 Global Financial Crisis, capital expenditure shocks mitigated the decline in economic growth by 2 percentage points, highlighting their counter-cyclical potential. These findings are corroborated by robustness checks, which include changes in priors, variable reordering, adjustments in external and demand variables, and extending the sample to 2022Q4 to encompass the COVID-19 crisis.engPontificia Universidad Católica del Perú. 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