EconPapers    
Economics at your fingertips  
 

Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data

Giancarlo Bruno and Claudio Lupi

MPRA Paper from University Library of Munich, Germany

Abstract: In this paper we propose a relatively simple procedure to predict Euro-zone industrial production using mostly data derived from the business surveys of the three major economies within the European Monetary Union (France, Germany, and Italy). The basic idea is that of estimating business cyclical indicators to be used as predictors for the industrial production in France and Germany; as far as Italy is concerned, forecasts are produced using a model that in the recent past proved to be able to produce accurate forecasts up to six months ahead. In order to derive quantitative predictors from the business surveys data and to aggregate the nation-wide forecast into the Euro-zone forecast, we propose using an approach based on dynamic factors and unobserved components models. The resulting forecasts are accurate up to six steps ahead.

Keywords: Forecasting; VAR models; Industrial production; Cyclical Analysis (search for similar items in EconPapers)
JEL-codes: C32 C53 E32 (search for similar items in EconPapers)
Date: 2003-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/42332/1/MPRA_paper_42332.pdf original version (application/pdf)

Related works:
Working Paper: Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data (2003) 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:42332

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 2025-03-22
Handle: RePEc:pra:mprapa:42332