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This is what the leading indicators lead

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Author Info
Maximo Camacho (Universidad de Murcia, Facultad de Economia y Empresa, 30100, Murcia, Spain)
Gabriel Perez-Quiros (Oficina de Estudios Monetarios y Financieros, Unidad de Investigacion, Servicio de Estudios, Banco de Espana, Alcala 50, 28014 Madrid, Spain)

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Abstract

We propose an optimal filter to transform the Conference Board Composite Leading Index (CLI) into recession probabilities in the US economy. We also analyse the CLI's accuracy at anticipating US output growth. We compare the predictive performance of linear, VAR extensions of smooth transition regression and switching regimes, probit, non-parametric models and conclude that a combination of the switching regimes and non-parametric forecasts is the best strategy at predicting both the NBER business cycle schedule and GDP growth. This confirms the usefulness of CLI, even in a real-time analysis. Copyright © 2002 John Wiley & Sons, Ltd.

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File URL: http://qed.econ.queensu.ca:80/jae/2002-v17.1/
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Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 17 (2002)
Issue (Month): 1 ()
Pages: 61-80
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:jae:japmet:v:17:y:2002:i:1:p:61-80

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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. James H. Stock & Mark W. Watson, 1992. "A Procedure for Predicting Recessions With Leading Indicators: Econometric Issues and Recent Experience," NBER Working Papers 4014, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Hamilton, James D & Perez-Quiros, Gabriel, 1996. "What Do the Leading Indicators Lead?," Journal of Business, University of Chicago Press, vol. 69(1), pages 27-49, January. [Downloadable!] (restricted)
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  3. Wecker, William E, 1979. "Predicting the Turning Points of a Time Series," Journal of Business, University of Chicago Press, vol. 52(1), pages 35-50, January. [Downloadable!] (restricted)
  4. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March. [Downloadable!] (restricted)
  5. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March. [Downloadable!] (restricted)
  6. Clive W. Granger & Timo Terasvirta & Heather M. Anderson, 1993. "Modeling Nonlinearity over the Business Cycle," NBER Chapters, in: Business Cycles, Indicators and Forecasting, pages 311-326 National Bureau of Economic Research, Inc. [Downloadable!]
  7. Li, David T & Dorfman, Jeffrey H, 1996. "Predicting Turning Points through the Integration of Multiple Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 421-28, October.
  8. Hess, Gregory D & Iwata, Shigeru, 1997. "Measuring and Comparing Business-Cycle Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 432-44, October.
  9. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," Journal of Business, University of Chicago Press, vol. 62(3), pages 369-91, July. [Downloadable!] (restricted)
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  10. Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York. [Downloadable!]
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  11. Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics. [Downloadable!]
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  12. Lobato, Ignacio N & Robinson, Peter M, 1998. "A Nonparametric Test for I(0)," Review of Economic Studies, Blackwell Publishing, vol. 65(3), pages 475-95, July. [Downloadable!] (restricted)
  13. Birchenhall, Chris R, et al, 1999. "Predicting U.S. Business-Cycle Regimes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 313-23, July.
  14. 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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  15. 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)
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  1. Cubadda, Gianluca, 2004. "A Reduced Rank Regression Approach to Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp04022, University of Molise, Dept. SEGeS. [Downloadable!]
    Other versions:
  2. Shyh-Wei Chen, 2006. "Enhanced reliability of the leading indicator in identifying turning points in Taiwan? an evaluation," Economics Bulletin, Economics Bulletin, vol. 5(10), pages 1-17. [Downloadable!]
  3. Loría, Eduardo & Brito, L., 2004. "Is the Consumer Confidence Index a Sound Predictor of the Private Demand in the United States?," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 22, pages 1-15, Diciembre. [Downloadable!] (restricted)
  4. D R Osborn & M Sensier & D van Dijk, 2003. "Predicting Growth Cycle Regimes for European Countries," Centre for Growth and Business Cycle Research Discussion Paper Series 39, Economics, The Univeristy of Manchester. [Downloadable!]
  5. Marcelle Chauvet & Elcyon C.R. Lima & Brisne Vasquez, 2002. "Forecasting Brazilian output in the presence of breaks: a comparison of linear and nonlinear models," Working Paper 2002-28, Federal Reserve Bank of Atlanta. [Downloadable!]
  6. M Sensier & M Artis & C R Birchenhall & D R Osborn, 2002. "Domestic and International Influences on Business Cycle Regimes in Europe," Centre for Growth and Business Cycle Research Discussion Paper Series 11, Economics, The Univeristy of Manchester. [Downloadable!]
    Other versions:
  7. Robert H. McGuckin & Ataman Ozyildirim, 2003. "Real-Time Tests of the Leading Economic Index: Do Changes in the Index Composition Matter?," Economics Program Working Papers 03-04, The Conference Board, Economics Program. [Downloadable!]
  8. Zhiwei Zhang, 2002. "Corporate Bond Spreads and the Business Cycle," Working Papers 02-15, Bank of Canada. [Downloadable!]
  9. D R Osborn & M Sensier, 2002. "The Prediction of Business Cycle Phases: Financial Variables and International Linkages," Centre for Growth and Business Cycle Research Discussion Paper Series 15, Economics, The Univeristy of Manchester. [Downloadable!]
  10. Ivan Paya & Agustín Duarte & Ioannis A. Venetis, 2004. "Predicting Real Growth And The Probability Of Recession In The Euro Area Using The Yield Spread," Working Papers. Serie AD 2004-31, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
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  11. 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!]
  12. Cubadda, Gianluca & Hecq, Alain, 2003. "The Role of Common Cyclical Features for Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp03002, University of Molise, Dept. SEGeS. [Downloadable!]
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