Estimation of DSGE Models: A Monte Carlo Analysis
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | https://hdl.handle.net/10438/10961 |
Resumo: | We investigate the small sample properties and robustness of the parameter estimates of DSGE models. Our test ground is the Smets and Wouters (2007)'s model and the estimation procedures we evaluate are the Simulated Method of Moments (SMM) and Maximum Likelihood (ML). We look at the empirical distributions of the parameter estimates and their implications for impulse-response and variance decomposition in the cases of correct specification and two types of misspecification. Our results indicate an overall poor performance of SMM and some patterns of bias in impulse-response and variance decomposition for ML under the types of misspecification studied. |
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Motula, Paulo Fernando NerickeEscolas::EPGEFGVBonomo, Marco Antônio CesarCarvalho, Carlos Viana deBerriel, Tiago Couto2013-07-09T19:40:59Z2013-07-09T19:40:59Z2013-06-18MOTULA, Paulo Fernando Nericke. Estimation of DSGE Models: A Monte Carlo Analysis. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2013.https://hdl.handle.net/10438/10961We investigate the small sample properties and robustness of the parameter estimates of DSGE models. Our test ground is the Smets and Wouters (2007)'s model and the estimation procedures we evaluate are the Simulated Method of Moments (SMM) and Maximum Likelihood (ML). We look at the empirical distributions of the parameter estimates and their implications for impulse-response and variance decomposition in the cases of correct specification and two types of misspecification. Our results indicate an overall poor performance of SMM and some patterns of bias in impulse-response and variance decomposition for ML under the types of misspecification studied.Neste trabalho investigamos as propriedades em pequena amostra e a robustez das estimativas dos parâmetros de modelos DSGE. Tomamos o modelo de Smets and Wouters (2007) como base e avaliamos a performance de dois procedimentos de estimação: Método dos Momentos Simulados (MMS) e Máxima Verossimilhança (MV). Examinamos a distribuição empírica das estimativas dos parâmetros e sua implicação para as análises de impulso-resposta e decomposição de variância nos casos de especificação correta e má especificação. Nossos resultados apontam para um desempenho ruim de MMS e alguns padrões de viés nas análises de impulso-resposta e decomposição de variância com estimativas de MV nos casos de má especificação considerados.engDSGEMisspecificationMá especificaçãoMonte CarloEconomiaMonte Carlo, Método deModelos econométricosEstimation of DSGE Models: A Monte Carlo Analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALPDFPDFapplication/pdf1492951https://repositorio.fgv.br/bitstreams/8df7ff3d-d100-4475-8dd5-2bcae75614d6/downloadd60fce8c6165733b9666076aef7e2a75MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84707https://repositorio.fgv.br/bitstreams/5ca3623f-3472-4010-ab2e-9347ad6d9077/downloaddfb340242cced38a6cca06c627998fa1MD52TEXTDissertacao - Paulo Motula.pdf.txtDissertacao - Paulo Motula.pdf.txtExtracted 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dc.title.eng.fl_str_mv |
Estimation of DSGE Models: A Monte Carlo Analysis |
title |
Estimation of DSGE Models: A Monte Carlo Analysis |
spellingShingle |
Estimation of DSGE Models: A Monte Carlo Analysis Motula, Paulo Fernando Nericke DSGE Misspecification Má especificação Monte Carlo Economia Monte Carlo, Método de Modelos econométricos |
title_short |
Estimation of DSGE Models: A Monte Carlo Analysis |
title_full |
Estimation of DSGE Models: A Monte Carlo Analysis |
title_fullStr |
Estimation of DSGE Models: A Monte Carlo Analysis |
title_full_unstemmed |
Estimation of DSGE Models: A Monte Carlo Analysis |
title_sort |
Estimation of DSGE Models: A Monte Carlo Analysis |
author |
Motula, Paulo Fernando Nericke |
author_facet |
Motula, Paulo Fernando Nericke |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EPGE |
dc.contributor.affiliation.none.fl_str_mv |
FGV |
dc.contributor.member.none.fl_str_mv |
Bonomo, Marco Antônio Cesar Carvalho, Carlos Viana de |
dc.contributor.author.fl_str_mv |
Motula, Paulo Fernando Nericke |
dc.contributor.advisor1.fl_str_mv |
Berriel, Tiago Couto |
contributor_str_mv |
Berriel, Tiago Couto |
dc.subject.eng.fl_str_mv |
DSGE Misspecification |
topic |
DSGE Misspecification Má especificação Monte Carlo Economia Monte Carlo, Método de Modelos econométricos |
dc.subject.por.fl_str_mv |
Má especificação Monte Carlo |
dc.subject.area.por.fl_str_mv |
Economia |
dc.subject.bibliodata.por.fl_str_mv |
Monte Carlo, Método de Modelos econométricos |
description |
We investigate the small sample properties and robustness of the parameter estimates of DSGE models. Our test ground is the Smets and Wouters (2007)'s model and the estimation procedures we evaluate are the Simulated Method of Moments (SMM) and Maximum Likelihood (ML). We look at the empirical distributions of the parameter estimates and their implications for impulse-response and variance decomposition in the cases of correct specification and two types of misspecification. Our results indicate an overall poor performance of SMM and some patterns of bias in impulse-response and variance decomposition for ML under the types of misspecification studied. |
publishDate |
2013 |
dc.date.accessioned.fl_str_mv |
2013-07-09T19:40:59Z |
dc.date.available.fl_str_mv |
2013-07-09T19:40:59Z |
dc.date.issued.fl_str_mv |
2013-06-18 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
MOTULA, Paulo Fernando Nericke. Estimation of DSGE Models: A Monte Carlo Analysis. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2013. |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10438/10961 |
identifier_str_mv |
MOTULA, Paulo Fernando Nericke. Estimation of DSGE Models: A Monte Carlo Analysis. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2013. |
url |
https://hdl.handle.net/10438/10961 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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