Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/26734
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dc.contributor.authorRamadani, Ganien_US
dc.contributor.authorPetrovska, Magdalenaen_US
dc.contributor.authorBucevska, Vesnaen_US
dc.date.accessioned2023-06-07T13:55:00Z-
dc.date.available2023-06-07T13:55:00Z-
dc.date.issued2021-07-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/26734-
dc.description.abstractAggregate demand forecasting, also known as nowcasting when it applies to current quarter assessment, is of notable interest to policy makers. This paper concentrates on the empirical methods dealing with mixed frequency data. In particular, it focuses on the MIDAS approach and its later extension, the Bayesian MF VAR. The two strategies are evaluated in terms of their accuracy to nowcast Macedonian GDP growth, using same monthly frequency data set. The results of this study indicate that the MIDAS regressions demonstrate comparable forecasting performance to that of MF-VAR model. Moreover, it is interesting to note that the two approaches are reciprocal, since in general, their combined forecast demonstrates clear superiority in predicting business cycle turning points. Additionally, the MF-VAR model showed higher precision in times of increased uncertainty.en_US
dc.language.isoen_USen_US
dc.publisherSchool of Economics and Business, University of Sarajevoen_US
dc.relation.ispartofSouth East European Journal of Economics and Business Volume 16 (2) 2021, 43-52en_US
dc.subjectMF-VAR, Bayesian estimation, MIDAS, forecast pooling, forecast evaluationen_US
dc.titleEVALUATION OF MIXED FREQUENCY APPROACHES FOR TRACKING NEAR-TERM ECONOMIC DEVELOPMENTS IN NORTH MACEDONIAen_US
dc.identifier.doi10.2478/jeb-2021-0013-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Economics-
Appears in Collections:Faculty of Economics 03: Journal Articles / Статии во научни списанија
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