The Sticky Information Macro Model: Beyond Perfect Foresight
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/77 |
Resumo: | Sticky information monetary models have been used in the macroeconomic literature to explain some of the observed features regarding inflation dynamics. In this paper, we explore the consequences of relaxing the rational expectations assumption usually taken in this type of model; in particular, by considering expectations formed through adaptive learning, it is possible to arrive to results other than the trivial convergence to a fixed point long-term equilibrium. The results involve the possibility of endogenous cyclical motion (periodic and a-periodic), which emerges essentially in scenarios of hyperinflation. In low inflation settings, the introduction of learning implies a less severe impact of monetary shocks that, nevertheless, tend to last for additional time periods relative to the pure perfect foresight setup. |
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The Sticky Information Macro Model: Beyond Perfect ForesightAdaptive learning, Sticky information, Inflation dynamics, NonlinearitiesSticky information monetary models have been used in the macroeconomic literature to explain some of the observed features regarding inflation dynamics. In this paper, we explore the consequences of relaxing the rational expectations assumption usually taken in this type of model; in particular, by considering expectations formed through adaptive learning, it is possible to arrive to results other than the trivial convergence to a fixed point long-term equilibrium. The results involve the possibility of endogenous cyclical motion (periodic and a-periodic), which emerges essentially in scenarios of hyperinflation. In low inflation settings, the introduction of learning implies a less severe impact of monetary shocks that, nevertheless, tend to last for additional time periods relative to the pure perfect foresight setup.The Berkeley Electronic PressRCIPLGomes, Orlando2010-04-13T13:14:59Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/77engGomes, O. (2010). “The Sticky-Information Macro Model: Beyond Perfect Foresight.” Studies in Nonlinear Dynamics and Econometrics, vol. 14, issue 1, article 1, pp. 1-35.1558-3708http://comum.rcaap.pt/handle/123456789/477info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:36:28Zoai:repositorio.ipl.pt:10400.21/77Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:10:28.665193Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The Sticky Information Macro Model: Beyond Perfect Foresight |
title |
The Sticky Information Macro Model: Beyond Perfect Foresight |
spellingShingle |
The Sticky Information Macro Model: Beyond Perfect Foresight Gomes, Orlando Adaptive learning, Sticky information, Inflation dynamics, Nonlinearities |
title_short |
The Sticky Information Macro Model: Beyond Perfect Foresight |
title_full |
The Sticky Information Macro Model: Beyond Perfect Foresight |
title_fullStr |
The Sticky Information Macro Model: Beyond Perfect Foresight |
title_full_unstemmed |
The Sticky Information Macro Model: Beyond Perfect Foresight |
title_sort |
The Sticky Information Macro Model: Beyond Perfect Foresight |
author |
Gomes, Orlando |
author_facet |
Gomes, Orlando |
author_role |
author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Gomes, Orlando |
dc.subject.por.fl_str_mv |
Adaptive learning, Sticky information, Inflation dynamics, Nonlinearities |
topic |
Adaptive learning, Sticky information, Inflation dynamics, Nonlinearities |
description |
Sticky information monetary models have been used in the macroeconomic literature to explain some of the observed features regarding inflation dynamics. In this paper, we explore the consequences of relaxing the rational expectations assumption usually taken in this type of model; in particular, by considering expectations formed through adaptive learning, it is possible to arrive to results other than the trivial convergence to a fixed point long-term equilibrium. The results involve the possibility of endogenous cyclical motion (periodic and a-periodic), which emerges essentially in scenarios of hyperinflation. In low inflation settings, the introduction of learning implies a less severe impact of monetary shocks that, nevertheless, tend to last for additional time periods relative to the pure perfect foresight setup. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-04-13T13:14:59Z 2010 2010-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/77 |
url |
http://hdl.handle.net/10400.21/77 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gomes, O. (2010). “The Sticky-Information Macro Model: Beyond Perfect Foresight.” Studies in Nonlinear Dynamics and Econometrics, vol. 14, issue 1, article 1, pp. 1-35. 1558-3708 http://comum.rcaap.pt/handle/123456789/477 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
The Berkeley Electronic Press |
publisher.none.fl_str_mv |
The Berkeley Electronic Press |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133354802544640 |