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Forecasting with Equilibrium-correction Models during Structural Breaks.

Abstract:
When breaks occur, equilibrium-correction models (EqCMs) based on cointegration face forecasting problems. We investigate approaches to alleviate forecast failure following a location shift, including updating, intercept corrections, differencing, and estimating the future impact of an 'internal' break during its progress. Although updating can lead to a loss of cointegration when an EqCM suffers an equilibrium-mean shift, we show that updating can help when collinearities are changed by an 'external' break and the EqCM itself remains constant. Both mechanistic corrections help compared to just retaining a pre-break estimated model, but an estimated model of the break process could outperform. Throughout, we apply the approaches to the much-studied example of EqCMs for UK M1, and compare with updating a learning function as the break evolves.

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Publisher:
Department of Economics (University of Oxford)
Series:
Discussion paper series
Publication date:
2008-10-01


Language:
English
UUID:
uuid:bdd4e17a-b4a1-4580-9239-b296124999ac
Local pid:
oai:economics.ouls.ox.ac.uk:12143
Deposit date:
2011-08-16
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