欧洲走出衰退之路

F. Bec, Othman Bouabdallah, L. Ferrara
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引用次数: 6

摘要

本文提出了一种允许从衰退状态中恢复的各种形状的双区反弹函数增强自激阈值自回归(SETAR)。它依赖于Kim、Morley和Piger[2005]在马尔可夫开关设置中首次分析的反弹效应,最近由Bec、Bouabdallah和Ferrara[2011]扩展。然后将这种方法应用于1973年后法国、德国、意大利、西班牙和欧元区实际国内生产总值的季度增长率。除意大利外,在所有情况下,线性自回归和无反弹效应的标准SETAR零假设对反弹增强SETAR替代方案都被强烈拒绝。通过将模型的短期预测性能与线性自回归和标准SETAR的预测性能进行比较,进一步评估了我们提出的模型的相关性。事实证明,提前一步预测的反弹模型通常比其他模型表现更好,尤其是在2009年第三季度至2010年第四季度的最后一个恢复期。
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The European Way Out of Recession
This paper proposes a two-regime Bounce-Back Function augmented Self-Exciting Threshold AutoRegression (SETAR) which allows for various shapes of recoveries from the recession regime. It relies on the bounce-back effects first analyzed in a Markov-Switching setup by Kim, Morley and Piger [2005] and recently extended by Bec, Bouabdallah and Ferrara [2011a]. This approach is then applied to post-1973 quarterly growth rates of French, German, Italian, Spanish and Euro area real GDPs. Both the linear autoregression and the standard SETAR without 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 the comparison of its short-term forecasting performances with the ones obtained from a linear autoregression and a standard SETAR. It turns out that the bounce-back models one-step ahead forecasts generally outperform the other ones, and particularly so during the last recovery period in 2009Q3-2010Q4.
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