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The author shows that extending the estimation window prior to structural breaks in cointegrated systems can be beneficial for forecasting performance and highlights under which conditions. In doing so, the author generalizes the Pesaran and Timmermann (2005)’s forecast error decomposition and...
Persistent link: https://www.econbiz.de/10013294723
This paper proposes new cointegration tests based on instrumental variable (IV) estimation. An important property of … regressors, differing deterministic terms, structural dummies, and inclusion of stationary covariates. Thus, our IV cointegration …
Persistent link: https://www.econbiz.de/10014331711
. Additionally, we consider situations where the regressors exhibit unit roots, thus delving into a nonlinear cointegration framework …
Persistent link: https://www.econbiz.de/10014335549
Robust M–estimation uses loss functions, such as least absolute deviation (LAD), quantile loss and Huber’s loss, to construct its objective function, in order to for example eschew the impact of outliers, whereas the difficulty in analysing the resultant estimators rests on the nonsmoothness...
Persistent link: https://www.econbiz.de/10014262291
cointegration for model selection. The aim of this paper was twofold; one was to evaluate the performance of these five routinely … (Brazil, Russia, India, China and South Africa) countries using Bounds cointegration test. It was found that information …
Persistent link: https://www.econbiz.de/10012238626
Persistent link: https://www.econbiz.de/10009731971
Many questions in economics involve long-run or trend variation and covariation in time series. Yet, time series of typical lengths contain only limited information about this long-run variation. This paper suggests that long-run sample information can be isolated using a small number of...
Persistent link: https://www.econbiz.de/10013015106
Persistent link: https://www.econbiz.de/10012807766
Persistent link: https://www.econbiz.de/10011901897
Many questions in economics involve long-run or trend variation and covariation in time series. Yet, time series of typical lengths contain only limited information about this long-run variation. This paper suggests that long-run sample information can be isolated using a small number of...
Persistent link: https://www.econbiz.de/10012457105