Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19676
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dc.creatorArz, Stephanus-
dc.date2006-
dc.date.accessioned2013-10-16T07:06:14Z-
dc.date.available2013-10-16T07:06:14Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/19676-
dc.identifierppn:523083610-
dc.identifierRePEc:zbw:bubdp1:5196-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/19676-
dc.descriptionUsually, seasonal adjustment is based on time series models which decompose an unadjusted series into the sum or the product of four unobservable components (trendcycle, seasonal, working-day and irregular components). In the case of clearly weatherdependent output in the west German construction industry, traditional considerations lead to an additive model. However, this results in an over-adjustment of calendar effects. An alternative is a multiplicative-additive mixed model, the estimation of which is illustrated using X-12-ARIMA. Finally, the relevance of the new model is shown by analysing selected time series for different countries.-
dc.languageeng-
dc.publisher-
dc.relationDiscussion paper Series 1 / Volkswirtschaftliches Forschungszentrum der Deutschen Bundesbank 2006,47-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectC22-
dc.subjectddc:330-
dc.subjectSeasonal adjustment-
dc.subjectcalendar adjustment-
dc.subjectover-adjustment-
dc.subjectmultiplicative-additive model-
dc.subjectX-12-ARIMA-
dc.subjectSaisonbereinigung-
dc.subjectARMA-Modell-
dc.subjectZeitreihenanalyse-
dc.subjectTheorie-
dc.titleA new mixed multiplicative-additive model for seasonal adjusment-
dc.typedoc-type:workingPaper-
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