EconPapers    
Economics at your fingertips  
 

Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP

A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP

Peter Tóth ()

MPRA Paper from University Library of Munich, Germany

Abstract: In this article we estimate a small dynamic factor model (DFM) for the short-term forecasting of Slovak GDP. The model predicts the developments of real activity in the next two quarters on the basis of monthly data, which are published earlier than GDP. The regular release of various monthly indicators allows about a weekly update of the short-term outlook. Our DFM contains six monthly indicators, which are retail sales, sales in industry and construction, employment in selected industries, health care contributions of employers, export and the PMI for the eurozone. These approximate the production, expenditure and income side of GDP. The forecast accuracy of the factor model prevails over simple approaches not relying on monthly data, such as the random walk and the autoregressive models of the GDP series.

Keywords: dynamic factor model; GDP; short-term forecasting (search for similar items in EconPapers)
JEL-codes: C52 C53 E23 E27 (search for similar items in EconPapers)
Date: 2014-10-02
New Economics Papers: this item is included in nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/63713/1/MPRA_paper_63713.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/64149/9/MPRA_paper_64149.pdf revised version (application/pdf)

Related works:
Working Paper: Nowcasting Slovak GDP by a Small Dynamic Factor Model (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:63713

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2022-01-06
Handle: RePEc:pra:mprapa:63713