This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Forecasting Industrial Production in the Euro Area

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Giorgio Bodo (Fiat)
Roberto Golinelli (University of Bologna)
Giuseppe Parigi () (Bank of Italy, Research Department)

Additional information is available for the following registered author(s):

Abstract

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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bancaditalia.it/pubblicazioni/econo/temidi/td00/td370_00/td370/tema_370it.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Bank of Italy, Economic Research Department in its series Temi di discussione (Economic working papers) with number 370.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Mar 2000
Date of revision:
Handle: RePEc:bdi:wptemi:td_370_00

Contact details of provider:
Postal: Via Nazionale, 91 - 00184 Roma
Web page: http://www.bancaditalia.it
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Osborn, Denise R, et al, 1988. "Seasonality and the Order of Integration for Consumption," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(4), pages 361-77, November.
  2. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250. [Downloadable!] (restricted)
  3. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220 National Bureau of Economic Research, Inc. [Downloadable!]
    Other versions:
  4. Jeffrey A. Miron, 1990. "The Economics of Seasonal Cycles," NBER Working Papers 3522, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. Dickey, David A & Pantula, Sastry G, 1987. "Determining the Ordering of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 455-61, October.
  6. Lutkepohl, Helmut, 1982. "Non-causality due to omitted variables," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 367-378, August. [Downloadable!] (restricted)
  7. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238. [Downloadable!] (restricted)
    Other versions:
  8. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June. [Downloadable!] (restricted)
  9. Fair, Ray C & Shiller, Robert J, 1990. "Comparing Information in Forecasts from Econometric Models," American Economic Review, American Economic Association, vol. 80(3), pages 375-89, June. [Downloadable!] (restricted)
  10. Hylleberg, Svend & Jorgensen, Clara & Sorensen, Nils Karl, 1993. "Seasonality in Macroeconomic Time Series," Empirical Economics, Springer, vol. 18(2), pages 321-35.
  11. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October. [Downloadable!] (restricted)
    Other versions:
  12. Franses, H. & Koehler, A.B., 1993. "A Model Selection Strategy for Time Series with Increasing Seasonal Variation," Papers 9308-a, Erasmus University of Rotterdam - Econometric Institute.
  13. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-59, April.
  14. Osborn, Denise R. & Heravi, Saeed & Birchenhall, C. R., 1999. "Seasonal unit roots and forecasts of two-digit European industrial production," International Journal of Forecasting, Elsevier, vol. 15(1), pages 27-47, February. [Downloadable!] (restricted)
  15. Baffigi, A. & Pagnini, M. & Quintiliani, F., 1999. "Industrial Districts and Local Banks: Do the Twins Ever Meet?," Papers 347, Banca Italia - Servizio di Studi.
    Other versions:
  16. Franses, Philip Hans & Kleibergen, Frank, 1996. "Unit roots in the Nelson-Plosser data: Do they matter for forecasting?," International Journal of Forecasting, Elsevier, vol. 12(2), pages 283-288, June. [Downloadable!] (restricted)
  17. PHILIP HANS FRANSES & BART HOBIJN,, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor and Francis Journals, vol. 24(1), pages 25-48, February. [Downloadable!] (restricted)
  18. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
    Other versions:
  19. Hans Franses, Philip & Koehler, Anne B., 1998. "A model selection strategy for time series with increasing seasonal variation," International Journal of Forecasting, Elsevier, vol. 14(3), pages 405-414, September. [Downloadable!] (restricted)
  20. James H. Stock & Mark W. Watson, 1998. "A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series," NBER Working Papers 6607, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Gerhard Rünstler & Franck Sédillot, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank. [Downloadable!]
  2. Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, 04. [Downloadable!] (restricted)
    Other versions:
  3. Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Departmental Working Papers wp0407, National University of Singapore, Department of Economics. [Downloadable!]
    Other versions:
  4. Riccardo Cristadoro & Roberto Sabbatini, 2000. "The Seasonal Adjustment of the harmonised Index of Consumer Prices for the Euro Area: a Comparison of Direct and Indirect Methods," Temi di discussione (Economic working papers) 371, Bank of Italy, Economic Research Department. [Downloadable!]
    Other versions:
  5. Ece Oral & Dilara Ece & Turknur Hamsici, 2005. "Building Up a Real Sector Business Confidence Index for Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 5(1), pages 23-54. [Downloadable!]
  6. Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Industrial Production and the Early Detection of Turning Points," Economics & Statistics Discussion Papers esdp03004, University of Molise, Dept. SEGeS. [Downloadable!]
    Other versions:
  7. Roberta Zizza, 2002. "Forecasting the industrial production index for the euro area through forecasts for the main countries," Temi di discussione (Economic working papers) 441, Bank of Italy, Economic Research Department. [Downloadable!]
  8. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research Department. [Downloadable!]
  9. Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISAE - Institute for Studies and Economic Analyses - (Rome, ITALY). [Downloadable!]
  10. Paola Caselli & Patrizio Pagano & Fabiano Schivardi, 2000. "Investment and Growth in Europe and in the United States in the Nineties," Temi di discussione (Economic working papers) 372, Bank of Italy, Economic Research Department. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? IDEAS indexes over 800000 items of research in Economics alone.

This page was last updated on 2009-11-11.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.