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An Indicator of Economic Sentiment for the Italian Economy

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  • Giancarlo Bruno

    (ISAE - Institute for Studies and Economic Analyses)

  • Marco Malgarini

    ()
    (ISAE - Institute for Studies and Economic Analyses)

Abstract

The long and sustained expansion of the nineties has generated, especially in the US, widespread rumours about the “death of the cycle”. Nevertheless, towards the end of the last decade, it became clear that fluctuations of economic activity were far from being extinct. This has contributed greatly to a renewed interest among economists for the elaboration of statistical indicators capable of tracking and, if possible, anticipating the cyclical features of the economy. The aim of this paper is to build such an aggregate composite indicator for the Italian Economy, based on the ISAE surveys on households and those on the manufacturing, retail and construction sector. The first step of the analysis consists in using a dynamic factor model to extract a “common factor” from the different series of each survey, which may be interpreted as a composite confidence indicator. We then evaluate, for each survey, its in-sample and out-of sample properties, comparing them with those of the usual ISAE-EC Confidence indicators. Finally, we use again the dynamic factor model to build, from the sectoral Composite Indicator (CI), a Composite Aggregate Indicator (CAI) for the Italian economy, and test its ability in tracking the cyclical features of Italian aggregate GDP.

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File URL: http://lipari.istat.it/digibib/Working_Papers/Bruno_Malgarini28.pdf
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Bibliographic Info

Paper provided by ISTAT - Italian National Institute of Statistics - (Rome, ITALY) in its series ISAE Working Papers with number 28.

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Length: 40 pages
Date of creation: Oct 2002
Date of revision:
Handle: RePEc:isa:wpaper:28

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Keywords: Confidence Indicators; Leading Indicators; Cyclical Analysis;

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References

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Cited by:
  1. Gagea, Mariana, 2014. "Modelling the Confidence in Industry in Romania and other European Member Countries Using the Ordered Logit Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 15-34, March.
  2. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
  3. Goggin, Jean, 2008. "An Analysis of the Potential of the European Commission Business and Consumer Surveys for Macroeconomic Forecasting," Quarterly Economic Commentary: Special Articles, Economic and Social Research Institute (ESRI), vol. 2008(4-Winter), pages 46-67.
  4. Marco Malgarini & Patrizia Margani & Bianca Maria Martelli, 2005. "Re-engineering the ISAE manufacturing survey," ISAE Working Papers 47, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  5. Lise Pichette, 2012. "Extracting Information from the Business Outlook Survey Using Statistical Approaches," Discussion Papers 12-8, Bank of Canada.
  6. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Paper Series 151, Sveriges Riksbank (Central Bank of Sweden).
  7. Hyejung Moon & Jungick Lee, 2013. "Forecast evaluation of economic sentiment indicator for the Korean economy," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 180-190 Bank for International Settlements.
  8. Gagea Mariana, 2012. "The Contribution Of Business Confidence Indicators In Short-Term Forecasting Of Economic Development," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 617-623, July.

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