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Discriminating mean and variance shifts

dc.contributor.authorSantos, Carlos
dc.date.accessioned2018-07-30T11:06:28Z
dc.date.available2018-07-30T11:06:28Z
dc.date.issued2007
dc.description.abstractA two-stage procedure based on impulse saturation is suggested to distinguish mean and variance shifts. The resulting zero-mean innovation test statistic has a non standard distribution, with a nuisance parameter. Hence, simulation-based critical values are provided for some cases of interest. Monte Carlo evidence reveals the test has good power properties to discriminate mean and variance shifts identified through the impulse saturation break test.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, C. (2007). Discriminating mean and variance shifts. Working Papers: Economics. N.º 14, 9 p.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/25299
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.subjectbreakspt_PT
dc.subjectmean shiftpt_PT
dc.subjectvariance shiftpt_PT
dc.subjectimpulse saturationpt_PT
dc.subjectnuisance parameterpt_PT
dc.titleDiscriminating mean and variance shiftspt_PT
dc.typeworking paper
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT

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