Confrontando un modelo DSGE con los datos
In this document we try to answer a key question in macroeconomic modeling. How much does a stochastic model of general equilibrium reproduce the data? To answer this question we use three metrics. First, we compare the statistical moments of the model with the data. Second, we perform a simulation...
- Autores:
-
Villca, Alfredo
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/15674
- Acceso en línea:
- http://hdl.handle.net/10784/15674
- Palabra clave:
- Business cyles
Business cycle simulation
SVAR model
Bayesian analysis
Ciclos económicos
simulación de ciclos económicos
modelo SVAR
análisis bayesiano
- Rights
- License
- Acceso abierto
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2020-02-05T21:03:20Z2019-12-012020-02-05T21:03:20Zhttp://hdl.handle.net/10784/15674E32E37C32C11In this document we try to answer a key question in macroeconomic modeling. How much does a stochastic model of general equilibrium reproduce the data? To answer this question we use three metrics. First, we compare the statistical moments of the model with the data. Second, we perform a simulation of the cycles. Third, we compare the impulse-response of the DSGE model with those of an SVAR model. Additionally, the model is estimated using Bayesian methods. Taking into account data from the United States, on a quarterly frequency (1950-2019), the model replicates the behavior of the data relatively well, although certain differences in magnitudes are observed.En este documento intentamos responder a una cuestión clave en la modelación macroeconómica ¿Qué tanto reproduce un modelo estocástico de equilibrio general los datos? Para responder esta pregunta usamos tres tipos de técnicas. Primero, comparamos los momentos estadísticos del modelo con los datos. Segundo, efectuamos una simulación de los ciclos. Tercero, comparamos las impulso-respuesta del modelo DSGE con las de un modelo SVAR. Adicionalmente, se estima el modelo usando métodos bayesianos. Tomando en cuenta datos de Estados Unidos durante 1950-2019, el modelo replica relativamente bien el comportamiento de los datos, aunque se observan ciertas diferencias en cuanto a las magnitudes.spaUniversidad EAFITEscuela de Economía y FinanzasConfrontando un modelo DSGE con los datosworkingPaperinfo:eu-repo/semantics/workingPaperDocumento de trabajo de investigacióndrafthttp://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_8042Acceso abiertohttp://purl.org/coar/access_right/c_abf2Business cylesBusiness cycle simulationSVAR modelBayesian analysisCiclos económicossimulación de ciclos económicosmodelo SVARanálisis bayesianoavillca@eafit.edu.coVillca, AlfredoLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/5e4c06d1-0085-4235-a2c3-0869e30e4439/download76025f86b095439b7ac65b367055d40cMD51ORIGINALWP-2020-07_Alfredo Villca.pdfWP-2020-07_Alfredo Villca.pdfapplication/pdf1711913https://repository.eafit.edu.co/bitstreams/ad431dfe-b590-4a33-b917-49af71ffd976/downloadb85449836b1223a39b9fe3154f2c97cfMD5210784/15674oai:repository.eafit.edu.co:10784/156742024-03-05 14:06:15.094open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.spa.fl_str_mv |
Confrontando un modelo DSGE con los datos |
title |
Confrontando un modelo DSGE con los datos |
spellingShingle |
Confrontando un modelo DSGE con los datos Business cyles Business cycle simulation SVAR model Bayesian analysis Ciclos económicos simulación de ciclos económicos modelo SVAR análisis bayesiano |
title_short |
Confrontando un modelo DSGE con los datos |
title_full |
Confrontando un modelo DSGE con los datos |
title_fullStr |
Confrontando un modelo DSGE con los datos |
title_full_unstemmed |
Confrontando un modelo DSGE con los datos |
title_sort |
Confrontando un modelo DSGE con los datos |
dc.creator.fl_str_mv |
Villca, Alfredo |
dc.contributor.eafitauthor.none.fl_str_mv |
avillca@eafit.edu.co |
dc.contributor.author.none.fl_str_mv |
Villca, Alfredo |
dc.subject.keyword.eng.fl_str_mv |
Business cyles Business cycle simulation SVAR model Bayesian analysis |
topic |
Business cyles Business cycle simulation SVAR model Bayesian analysis Ciclos económicos simulación de ciclos económicos modelo SVAR análisis bayesiano |
dc.subject.keyword.spa.fl_str_mv |
Ciclos económicos simulación de ciclos económicos modelo SVAR análisis bayesiano |
description |
In this document we try to answer a key question in macroeconomic modeling. How much does a stochastic model of general equilibrium reproduce the data? To answer this question we use three metrics. First, we compare the statistical moments of the model with the data. Second, we perform a simulation of the cycles. Third, we compare the impulse-response of the DSGE model with those of an SVAR model. Additionally, the model is estimated using Bayesian methods. Taking into account data from the United States, on a quarterly frequency (1950-2019), the model replicates the behavior of the data relatively well, although certain differences in magnitudes are observed. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019-12-01 |
dc.date.available.none.fl_str_mv |
2020-02-05T21:03:20Z |
dc.date.accessioned.none.fl_str_mv |
2020-02-05T21:03:20Z |
dc.type.eng.fl_str_mv |
workingPaper info:eu-repo/semantics/workingPaper |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_8042 |
dc.type.local.spa.fl_str_mv |
Documento de trabajo de investigación |
dc.type.hasVersion.eng.fl_str_mv |
draft |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/15674 |
dc.identifier.jel.none.fl_str_mv |
E32 E37 C32 C11 |
url |
http://hdl.handle.net/10784/15674 |
identifier_str_mv |
E32 E37 C32 C11 |
dc.language.iso.eng.fl_str_mv |
spa |
language |
spa |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.publisher.department.spa.fl_str_mv |
Escuela de Economía y Finanzas |
institution |
Universidad EAFIT |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
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repositorio@eafit.edu.co |
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1814110287263956992 |