Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18050
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dc.creatorFritsche, Ulrich-
dc.creatorKouzine, Vladimir-
dc.date2002-
dc.date.accessioned2013-10-16T06:58:03Z-
dc.date.available2013-10-16T06:58:03Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/18050-
dc.identifierppn:367006200-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/18050-
dc.descriptionUsing a binary reference series based on the dating procedure of Artis, Kontolemis and Osborn (1997) different procedures for predicting turning points of the German business cycles were tested. Specifically, a probit model as proposed by Estrella and Mishkin (1997) as well as Markov-switching models were taken into consideration. The overall results indicate that the interest rate spread, the long-term interest rate as well as some monetary indicators and some survey indicators can help predicting turning points of the business cycle.-
dc.languageeng-
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlin-
dc.relationDIW-Diskussionspapiere 314-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectC22-
dc.subjectE32-
dc.subjectC25-
dc.subjectddc:330-
dc.subjectBusiness cycle-
dc.subjectleading indicators-
dc.subjectprobit model-
dc.subjectMcFadden's R2-
dc.subjectMarkov switching models-
dc.subjectKonjunkturindikator-
dc.subjectKonjunkturprognose-
dc.subjectPrognoseverfahren-
dc.subjectSchätzung-
dc.subjectDeutschland-
dc.titleDo leading indicators help to predict business cycle turning points in Germany?-
dc.typedoc-type:workingPaper-
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