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The way out of recessions: A forecasting analysis for some Euro area countries

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  • Bec, Frédérique
  • Bouabdallah, Othman
  • Ferrara, Laurent

Abstract

This paper proposes a two-regime Bounce-Back Function augmented Self-Exciting Threshold AutoRegression (SETAR) model which allows for various shapes of recoveries from the recession regime. It relies on the bounce-back effects which were first analyzed in a Markov-Switching setup by Kim, Morley, and Piger (2005), and were recently extended by Bec, Bouabdallah, and Ferrara (2011). This approach is then applied to the post-1973 quarterly growth rates of French, German, Italian, Spanish and Euro area real GDPs. Both the linear autoregression and the standard SETAR without the bounce-back effect null hypotheses are strongly rejected against the Bounce-Back augmented SETAR alternative in all cases but Italy. The relevance of our proposed model is further assessed by a comparison of its short-term forecasting performances with those obtained from a linear autoregression and a standard SETAR. It turns out that the bounce-back model’s one-step-ahead forecasts generally outperform the other ones, particularly during the last recovery period in 2009Q3–2010Q4.

Suggested Citation

  • Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," International Journal of Forecasting, Elsevier, vol. 30(3), pages 539-549.
  • Handle: RePEc:eee:intfor:v:30:y:2014:i:3:p:539-549
    DOI: 10.1016/j.ijforecast.2013.01.004
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Frédérique Bec & Annabelle De Gaye, 2019. "Le modèle autorégressif autorégressif à seuil avec effet rebond : Une application aux rendements boursiers français et américains ," Working Papers hal-02014663, HAL.
    2. Chinn, Menzie & Ferrara, Laurent & Mignon, Valérie, 2014. "Explaining US employment growth after the great recession: The role of output–employment non-linearities," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 118-129.
    3. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    4. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
    5. Menzie D. Chinn & Laurent Ferrara & Valérie Mignon, 2013. "Post-recession US Employment through the Lens of a Non-linear Okun's law," NBER Working Papers 19047, National Bureau of Economic Research, Inc.
    6. Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017. "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, vol. 33(4), pages 745-759.

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