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Forecasting industrial production in the Euro area Author info | Abstract | Publisher info | Download info | Related research | Statistics Giuseppe Parigi () (Research Department, Bank of Italy, Via Nazionale 91, 00184 Roma, Italy)
Roberto Golinelli () (Department of Economics, Strada Maggiore 45, 40125 - Bologna, Italy http://www.spbo.unibo.it/pais/golinelli/)
Giorgio Bodo () (Group Treasurer Fiat Spa, Via Nizza 250, 10126 Torino, Italy)
Additional information is available for the following
registered author(s):
The creation of the Euro area has increased the importance of obtaining timely information about short-term changes in the area's real activity. In this paper we propose a number of alternative short term forecasting models, ranging from simple ARIMA models to more complex cointegrated VAR and conditional models, to forecast the index of industrial production in the euro area. A conditional error-correction model in which the aggregate index of industrial production for the area is explained by the US industrial production index and the business confidence index from the European Commission harmonised survey on manufacturing firms achieves the best score in terms of forecasting capacity.
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Article provided by Springer in its journal Empirical Economics .
Volume (Year): 25 (2000)
Issue (Month): 4 ()
Pages: 541-561
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Handle: RePEc:spr:empeco:v:25:y:2000:i:4:p:541-561Note: received: Jan. 2000/Final version received: March 2000Contact details of provider: Web page: http://link.springer.de/link/service/journals/00181/index.htm
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Keywords: Forecasts comparison · alternative models · conditional ECM ; Other versions of this item:
Paper Giorgio Bodo & Roberto Golinelli & Giuseppe Parigi, 2000.
"Forecasting Industrial Production in the Euro Area ,"
Temi di discussione (Economic working papers)
370, Bank of Italy, Economic Research Department.
[Downloadable!] Bodo, G. & Golinelli, R. & Parigi, G., 2000.
"Forecasting Industrial Production in the Euro Area ,"
Papers
370, Banca Italia - Servizio di Studi.
Find related papers by JEL classification: C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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