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Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes

  • Andrea Carriero
  • Massimiliano Marcellino

Monitoring the current status of the economy is quite relevant for policy making but also for the decisions of private agents, consumers and firms. Since it is difficult to identify a single variable that provides a good measure of current economic conditions, it can be preferable to consider a combination of several coincident indicators, i.e., a composite coincident index (CCI). In this paper, we review the main statistical techniques for the construction of CCIs, propose a new pooling-based method, and apply the alternative techniques for constructing CCIs for the largest European countries in the euro area and for the euro area as a whole. We find that different statistical techniques yield comparable CCIs, so that it is possible to reach a consensus on the status of the economy.

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Paper provided by IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University in its series Working Papers with number 319.

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Date of creation: 2007
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Handle: RePEc:igi:igierp:319
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  1. Artis, Michael J & Krolzig, Hans-Martin & Toro, Juan, 1999. "The European Business Cycle," CEPR Discussion Papers 2242, C.E.P.R. Discussion Papers.
  2. Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
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  7. Andrea Carriero & Massimiliano Marcellino, 2007. "A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK," Working Papers 590, Queen Mary University of London, School of Economics and Finance.
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  12. Andrea Carriero & Massimiliano Marcellino, 2007. "Sectoral Survey-based Confidence Indicators for Europe," Working Papers 320, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  13. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
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  17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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  20. Lucrezia Reichlin & Mario Forni & Marc Hallin & Marco Lippi, 2001. "Coincident and leading indicators for the Euro area," ULB Institutional Repository 2013/10137, ULB -- Universite Libre de Bruxelles.
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