A robust method to date recessions and compute output gaps: the portuguese case
| Main Author: | |
|---|---|
| Publication Date: | 2024 |
| Other Authors: | |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.14/45515 |
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. |
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A robust method to date recessions and compute output gaps: the portuguese caseBusiness cyclesC22E32Linear and nonlinear filteringTime series modelsTrend estimationThe 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.VeritatiAssunção, João B.Fernandes, Pedro Afonso2024-06-18T14:12:40Z2025-01-012025-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/45515eng1617-982X10.1007/s10258-024-00259-4info: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:RCAAP2025-03-13T10:34:57Zoai:repositorio.ucp.pt:10400.14/45515Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:36:02.641147Repositórios 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. Business cycles C22 E32 Linear and nonlinear filtering Time series models Trend estimation |
| 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 |
Veritati |
| dc.contributor.author.fl_str_mv |
Assunção, João B. Fernandes, Pedro Afonso |
| dc.subject.por.fl_str_mv |
Business cycles C22 E32 Linear and nonlinear filtering Time series models Trend estimation |
| topic |
Business cycles C22 E32 Linear and nonlinear filtering Time series models Trend estimation |
| 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 |
2024 |
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2024-06-18T14:12:40Z 2025-01-01 2025-01-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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http://hdl.handle.net/10400.14/45515 |
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http://hdl.handle.net/10400.14/45515 |
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eng |
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eng |
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1617-982X 10.1007/s10258-024-00259-4 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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