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Forecast performance of nonlinear error-correction models with multiple regimes

✍ Scribed by Zacharias Psaradakis; Fabio Spagnolo


Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
154 KB
Volume
24
Category
Article
ISSN
0277-6693

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✦ Synopsis


In this paper we investigate the forecast performance of nonlinear errorcorrection models with regime switching. In particular, we focus on threshold and Markov switching error-correction models, where adjustment towards long-run equilibrium is nonlinear and discontinuous. Our simulation study reveals that the gains from using a correctly specified nonlinear model can be considerable, especially if disequilibrium adjustment is strong and/or the magnitude of parameter changes is relatively large.