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An Overview of European Economic Indicators: Great Variety of Data on the Euro Area, Need for More Extensive Coverage of the New EU Member States

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Author Info
Maria Antoinette Silgoner () (Oesterreichische Nationalbank)
Abstract

This contribution provides an overview of the most common short-term indicators of economic development in the euro area. These indicators are useful when official data are released with long time lags or if they are subject to major revisions. Indicators based on surveys among businesses, households, financial market analysts or forecasters have the advantage of providing detailed and timely information on individual sectors on a monthly basis and largely without later revision. As an additional instrument, composite indicators, which are calculated by combining a variety of measures into a single indicator with the help of regression and factor analysis, offer an attractive tool for drawing conclusions from different, often divergent signals. Even the most reliable economic indicators, however, can only be interpreted as constituent elements of comprehensive economic analysis. With regard to the new EU Member States, coverage is found to be limited as yet. This study also shows that the forecasting quality of the European Commission 's business and consumer surveys for the new Member States is not as high as for the other EU Member States. As the reliability of economic indicators increases as forecasting institutions and respondents gain more experience, coverage of established indicators should be extended early on to this group of countries, in particular as some of the new Member States may soon join the euro area. JEL classification: 0110, 520

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Publisher Info
Article provided by Oesterreichische Nationalbank (Austrian Central Bank) in its journal Monetary Policy and the Economy.

Volume (Year): (2005)
Issue (Month): 3 (November)
Pages: 66-89
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Handle: RePEc:onb:oenbmp:y:2005:i:3:b:4

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Related research
Keywords: Leading indicators.;

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References listed on IDEAS
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  1. Jean-Jacques Vanhaelen & Luc Dresse & Jan De Mulder, 2000. "The Belgian industrial confidence indicator: leading indicator of economic activity in the euro area ?," Documents series 200011, National Bank of Belgium. [Downloadable!]
  2. Rebecca A Emerson & David Hendry, 1994. "An evaluation of forecasting using leading indicators," Economics Papers 5., Economics Group, Nuffield College, University of Oxford. [Downloadable!]
  3. Forni, Mario & Reichlin, Lucrezia, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," Review of Economic Studies, Blackwell Publishing, vol. 65(3), pages 453-73, July. [Downloadable!] (restricted)
  4. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
  5. Batchelor, Roy, 2001. "How Useful Are the Forecasts of Intergovernmental Agencies? The IMF and OECD versus the Consensus," Applied Economics, Taylor and Francis Journals, vol. 33(2), pages 225-35, February. [Downloadable!] (restricted)
  6. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(06), pages 1113-1141, December. [Downloadable!]
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  7. Vanhaelen, J.J. & Dresse, L. & de Mulder, J., 2000. "The Belgian Industrial Confidence Indicator: Leading Indicator of Economic Activity in the Euro Area?," Papers 12, Warwick - Development Economics Research Centre.
  8. 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.
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  9. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
  10. Kunst, Robert M., 2003. "Testing for Relative Predictive Accuracy: A Critical Viewpoint," Economics Series 130, Institute for Advanced Studies. [Downloadable!]
  11. Marcellino, Massimiliano, 2005. "Leading Indicators: What Have We Learned?," CEPR Discussion Papers 4977, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  12. Ronald Bewley & Denzil G. Fiebig, 2002. "On the herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 27(3), pages 403-425. [Downloadable!] (restricted)
  13. Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
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  14. Schröder, Michael & Hüfner, Felix P., 2002. "Forecasting economic activity in Germany : how useful are sentiment indicators?," ZEW Discussion Papers 02-56, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
  15. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis. [Downloadable!]
  16. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November. [Downloadable!] (restricted)
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  17. Grasmann, P. & Keereman, F., 2001. "An Indicator-Based Short-Term Forecast for Quarterly GDP in the Euro Area," European Economy - Economic Papers 154, Commission of the EC, Directorate-General for Economic and Financial Affairs (DG ECFIN).
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