A robust method to date recessions and compute output gaps: the Portuguese case

Bibliographic Details
Main Author: Assunção, João B.
Publication Date: 2025
Other Authors: Fernandes, Pedro Afonso
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.5/99211
Summary: The application of the Hodrick-Prescott (HP) and other linear filters to remove trend and extract business cycles in macroeconomic time series is a common practice despite its limitations, namely, in signaling recessions. Median filters and other nonlinear techniques can perform better by accommodating sharp but fundamental changes in the growth trend and passing only the relevant information to the cycle component, a possible measure of the output gap of an economy. An application to the Portuguese relevant macroeconomic series confirmed the robustness of nonlinear filters in signaling the recessions and recoveries. In particular, the Mosheiov-Raveh (MR) filter estimates piecewise trend growth paths that naturally date the specific periods of the Portuguese economy since 1977.
id RCAP_ae0f8cb65a05b0d2b017ea84622e544f
oai_identifier_str oai:repositorio.ulisboa.pt:10400.5/99211
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A robust method to date recessions and compute output gaps: the Portuguese caseTime series modelsTrend estimationBusiness cyclesLinear and nonlinear filteringThe application of the Hodrick-Prescott (HP) and other linear filters to remove trend and extract business cycles in macroeconomic time series is a common practice despite its limitations, namely, in signaling recessions. Median filters and other nonlinear techniques can perform better by accommodating sharp but fundamental changes in the growth trend and passing only the relevant information to the cycle component, a possible measure of the output gap of an economy. An application to the Portuguese relevant macroeconomic series confirmed the robustness of nonlinear filters in signaling the recessions and recoveries. In particular, the Mosheiov-Raveh (MR) filter estimates piecewise trend growth paths that naturally date the specific periods of the Portuguese economy since 1977.SpringerRepositório da Universidade de LisboaAssunção, João B.Fernandes, Pedro Afonso2025-03-12T10:02:28Z2025-012025-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/99211engAssunção, João B. and Pedro Afonso Fernandes .(2025). “A robust method to date recessions and compute output gaps: the Portuguese case”. Portuguese Economic Journal, Vol. 24, (1): 101–121.1617-982X (print)doi.org/10.1007/s10258-024-00259-41617-9838 (electronic)info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T16:35:41Zoai:repositorio.ulisboa.pt:10400.5/99211Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:21:09.976843Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A robust method to date recessions and compute output gaps: the Portuguese case
title A robust method to date recessions and compute output gaps: the Portuguese case
spellingShingle A robust method to date recessions and compute output gaps: the Portuguese case
Assunção, João B.
Time series models
Trend estimation
Business cycles
Linear and nonlinear filtering
title_short A robust method to date recessions and compute output gaps: the Portuguese case
title_full A robust method to date recessions and compute output gaps: the Portuguese case
title_fullStr A robust method to date recessions and compute output gaps: the Portuguese case
title_full_unstemmed A robust method to date recessions and compute output gaps: the Portuguese case
title_sort A robust method to date recessions and compute output gaps: the Portuguese case
author Assunção, João B.
author_facet Assunção, João B.
Fernandes, Pedro Afonso
author_role author
author2 Fernandes, Pedro Afonso
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Assunção, João B.
Fernandes, Pedro Afonso
dc.subject.por.fl_str_mv Time series models
Trend estimation
Business cycles
Linear and nonlinear filtering
topic Time series models
Trend estimation
Business cycles
Linear and nonlinear filtering
description The application of the Hodrick-Prescott (HP) and other linear filters to remove trend and extract business cycles in macroeconomic time series is a common practice despite its limitations, namely, in signaling recessions. Median filters and other nonlinear techniques can perform better by accommodating sharp but fundamental changes in the growth trend and passing only the relevant information to the cycle component, a possible measure of the output gap of an economy. An application to the Portuguese relevant macroeconomic series confirmed the robustness of nonlinear filters in signaling the recessions and recoveries. In particular, the Mosheiov-Raveh (MR) filter estimates piecewise trend growth paths that naturally date the specific periods of the Portuguese economy since 1977.
publishDate 2025
dc.date.none.fl_str_mv 2025-03-12T10:02:28Z
2025-01
2025-01-01T00:00:00Z
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/10400.5/99211
url http://hdl.handle.net/10400.5/99211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Assunção, João B. and Pedro Afonso Fernandes .(2025). “A robust method to date recessions and compute output gaps: the Portuguese case”. Portuguese Economic Journal, Vol. 24, (1): 101–121.
1617-982X (print)
doi.org/10.1007/s10258-024-00259-4
1617-9838 (electronic)
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 Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602026948263936