Spectral analysis of business and consumer survey data

dc.contributor.authorClavería González, Óscar
dc.contributor.authorMonte Moreno, Enric
dc.contributor.authorTorra Porras, Salvador
dc.date.accessioned2020-07-25T08:00:38Z
dc.date.available2020-07-25T08:00:38Z
dc.date.issued2020
dc.description.abstractThe main objective of this study is two-fold. First, we aim to detect the underlying existing periodicities in business and consumer survey data. With this objective, we conduct a spectral analysis of all survey indicators. Second, we aim to provide researchers with a filter especially designed for business and consumer survey data that circumvents the a priori assumptions of other filtering methods. To this end, we design a low-pass filter that allows extracting the components with periodicities similar to those that can be found in the dynamics of economic activity (...)ca
dc.format.extent31 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/169508
dc.language.isoengca
dc.publisherUniversitat de Barcelona. Facultat d'Economia i Empresaca
dc.relation.isformatofReproducció del document publicat a: http://www.ub.edu/irea/working_papers/2020/202006.pdf
dc.relation.ispartofIREA – Working Papers, 2020, IR20/06
dc.relation.ispartofAQR – Working Papers, 2020, AQR20/02
dc.relation.ispartofseries[WP E-IR20/06]ca
dc.relation.ispartofseries[WP E-AQR20/02]
dc.rightscc-by-nc-nd, (c) Clavería González, 2020
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceDocuments de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))
dc.subject.classificationEnquestes
dc.subject.classificationConsum (Economia)
dc.subject.classificationTeoria espectral (Matemàtica)
dc.subject.otherSurveys
dc.subject.otherConsumption (Economics)
dc.subject.otherSpectral theory (Mathematics)
dc.titleSpectral analysis of business and consumer survey dataca
dc.typeinfo:eu-repo/semantics/workingPaperca

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