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Un indicateur d'entrée et sortie de récession: application aux Etats-Unis
[A start-end recession index: Application for United-States]


  • Anas, Jacques
  • Ferrara, Laurent


This working paper presents a new coincident economic indicator developed by the COE, able to detect in real time peaks and troughs of the american business cycle. This probabilistic indicator is based on the Markov-Switching model proposed by Hamilton (1989), applied to various economic time series carefully chosen. The filtered probabilities stemming from these series are combined by taking into account the risks of false signals in order to provide a recession probability. This new indicator fruitfully completes the leading indicator IARC, released monthly by the COE, which aims at forecasting the fluctuations of the growth cycle. It is planned to apply this new indicator to the eurozone in the next future.

Suggested Citation

  • Anas, Jacques & Ferrara, Laurent, 2002. "Un indicateur d'entrée et sortie de récession: application aux Etats-Unis
    [A start-end recession index: Application for United-States]
    ," MPRA Paper 4043, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:4043

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    References listed on IDEAS

    1. Massimiliano Marcellino & Grayham E. Mizon & Hans-Martin Krolzig, 2002. "A Markov-switching vector equilibrium correction model of the UK labour market," Empirical Economics, Springer, vol. 27(2), pages 233-254.
    2. Krolzig, Hans-Martin & Marcellino, Massimiliano & Mizon, Grayham E., 2000. "A Markov-switching vector equilibrium correction model of the UK labour market," Discussion Paper Series In Economics And Econometrics 0105, Economics Division, School of Social Sciences, University of Southampton.
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    Cited by:

    1. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    2. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, EconWPA.
    3. repec:hal:journl:halshs-00185372 is not listed on IDEAS
    4. Benoit Bellone & David Saint-Martin, 2004. "Detecting Turning Points with Many Predictors through Hidden Markov Models," Econometrics 0407001, EconWPA.
    5. Benoît Bellone & Erwan Gautier & Sébastien Le Coent, 2006. "Les marchés financiers anticipent-ils les retournements conjoncturels ?," Economie & Prévision, La Documentation Française, vol. 172(1), pages 83-99.
    6. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    7. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, EconWPA, revised 28 Mar 2005.
    8. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    9. Lahiani, A. & Scaillet, O., 2009. "Testing for threshold effect in ARFIMA models: Application to US unemployment rate data," International Journal of Forecasting, Elsevier, vol. 25(2), pages 418-428.
    10. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    11. Benoit Bellone, 2004. "MSVARlib: a new Gauss library to estimate multivariate Hidden Markov Models," Econometrics 0406004, EconWPA.
    12. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".

    More about this item


    recession; Markov-switching; USA; real-time indicator;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation


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