Kristensen, Dennis; Rahbek, Anders - Økonomisk Institut, Københavns Universitet - 2010
In this paper, we consider a general class of vector error correction models which allow for asymmetric and non-linear error correction. We provide asymptotic results for (quasi-)maximum likelihood (QML) based estimators and tests. General hypothesis testing is considered, where testing for...