Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19702
Full metadata record
DC FieldValueLanguage
dc.creatorKnüppel, Malte-
dc.creatorTödter, Karl-Heinz-
dc.date2007-
dc.date.accessioned2013-10-16T07:06:22Z-
dc.date.available2013-10-16T07:06:22Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/19702-
dc.identifierppn:546267807-
dc.identifierRePEc:zbw:bubdp1:6341-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/19702-
dc.descriptionThis paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non-parametric procedures are developed. The former are based on a class of asymmetrically weighted normal distributions whereas the latter employ asymmetric bootstrap simulations. Both procedures are closely related. The bootstrap is applied to the structural macroeconometric model of the Bundesbank for Germany. Forecast intervals that integrate judgement on risk and uncertainty are obtained.-
dc.languageeng-
dc.relationDiscussion paper Series 1 / Volkswirtschaftliches Forschungszentrum der Deutschen Bundesbank 2007,25-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectE37-
dc.subjectC53-
dc.subjectC14-
dc.subjectddc:330-
dc.subjectMacroeconomic forecasts-
dc.subjectstochastic forecast intervals-
dc.subjectrisk-
dc.subjectuncertainty-
dc.subjectasymmetrically weighted normal distribution-
dc.subjectasymmetric bootstrap-
dc.subjectKonjunkturprognose-
dc.subjectPrognoseverfahren-
dc.subjectRisiko-
dc.subjectBootstrap-Verfahren-
dc.subjectTheorie-
dc.subjectDeutschland-
dc.titleQuantifying risk and uncertainty in macroeconomic forecasts-
dc.typedoc-type:workingPaper-
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.