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Inflation forecasting in Angola : a fractional approach

dc.contributor.authorBarros, Carlos Pestana
dc.contributor.authorLuis A., Gil-Alana
dc.date.accessioned2022-05-12T10:56:16Z
dc.date.available2022-05-12T10:56:16Z
dc.date.issued2012
dc.description.abstractThis paper forecasts inflation in Angola with an ARFIMA (AutoRegressive Fractionally Integrated Moving Average) model. It is found that inflation in Angola is a highly persistent variable with an order of integration constrained between 0 and 1. Moreover, a structural break is found in August, 1996. Using the second sub-sample for forecasting purposes, the results reveal that inflation will remain low, assuming that prudent macroeconomic policies are maintained.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBarros, Carlos Pestana e Luis A. Gil-Alana. 2012. “Inflation forecasting in Angola : a fractional approach” . Instituto Superior de Economia e Gestão. CEsA – Documentos de Trabalho nº 103/ 2012 .pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/24289
dc.language.isoengpt_PT
dc.publisherISEG - CEsApt_PT
dc.relation.ispartofseriesCEsA/ Documentos de Trabalho nº 103/ 2012 .;
dc.subjectInflationpt_PT
dc.subjectLong Memorypt_PT
dc.subjectAngolapt_PT
dc.titleInflation forecasting in Angola : a fractional approachpt_PT
dc.typeworking paper
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT

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