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Inflation at risk: the case of Germany

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorRodrigues, Paulo Manuel Marques
dc.contributor.authorImpeciati, Lucrezia
dc.date.accessioned2025-03-19T11:37:02Z
dc.date.available2025-03-19T11:37:02Z
dc.date.issued2024-05-27
dc.date.submitted2023-12-20
dc.description.abstractThis study applies quantile regression to the examination of inflation at risk in Germany. By looking at coefficient estimates, the paper shows how risk factors have diverse impacts at different inflation percentiles. The investigation further extends to the comparison of short-term and long-term forecasting models, emphasizing how sensitivity changes shape inflation trends. Furthermore, for significant years, future core inflation distributions are constructed, allowing for the visual representation of the evolution of inflation at risk.pt_PT
dc.identifier.tid203863968pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/180911
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectInflationpt_PT
dc.subjectQuantile regressionpt_PT
dc.subjectProbability distributionpt_PT
dc.subjectMacroeconomic linkagespt_PT
dc.titleInflation at risk: the case of Germanypt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Economics from the Nova School of Business and Economicspt_PT

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