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A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK

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  • Andrea Carriero

    () (Queen Mary, University of London)

  • Massimiliano Marcellino

    () (IEP-Bocconi University, IGIER and CEPR)

Abstract

In this paper we provide an overview of recent developments in the methodology for the construction of composite coincident and leading indexes, and apply them to the UK. In particular, we evaluate the relative merits of factor based models and Markov switching specifications for the construction of coincident and leading indexes. For the leading indexes we also evaluate the performance of probit models and pooling. The results indicate that alternative methods produce similar coincident indexes, while there are more marked di.erences in the leading indexes.

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Bibliographic Info

Paper provided by Queen Mary, University of London, School of Economics and Finance in its series Working Papers with number 590.

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Date of creation: Mar 2007
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Handle: RePEc:qmw:qmwecw:wp590

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Keywords: Forecasting; Business cycles; Leading indicators; Coincident indicators; Turning points;

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Cited by:
  1. Heilemann, Ullrich & Stekler, Herman, 2007. "Introduction to "The future of macroeconomic forecasting"," International Journal of Forecasting, Elsevier, vol. 23(2), pages 159-165.
  2. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
  3. Antonello D’Agostino & Bernd Schnatz, 2012. "Survey-based nowcasting of US growth: a real-time forecast comparison over more than 40 years," Working Paper Series 1455, European Central Bank.
  4. Andrea Carriero & Massimiliano Marcellino, 2007. "Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes," Working Papers 319, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  5. Ferdinand Fichtner & Rasmus Rüffer & Bernd Schnatz, 2009. "Leading indicators in a globalised world," Working Paper Series 1125, European Central Bank.
  6. Frale, Cecilia & Marcellino, Massimiliano & Mazzi, Gian Luigi & Proietti, Tommaso, 2008. "A Monthly Indicator of the Euro Area GDP," CEPR Discussion Papers 7007, C.E.P.R. Discussion Papers.
  7. Heij, C., 2007. "Improved forecasting with leading indicators: the principal covariate index," Econometric Institute Report EI 2007-23, Erasmus University Rotterdam, Econometric Institute.

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